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Speaker 1: That interferes from the government getting into your business, the

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Speaker 1: right to drink, the right to take care of yourself,

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Speaker 1: the like to you want to smoke out, Sure you

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Speaker 1: can do that too if you're of age in the

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Speaker 1: great state of Ohio and sooner than later, not just

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Speaker 1: medically speaking, but recreationally in Kentucky and across the country.

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Speaker 1: The communities in the states are falling like dominoes. But

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Speaker 1: in DC, just the last couple of days in the

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Speaker 1: Supreme Court, the argument made that if you're using marijuana

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Speaker 1: legally and you decide that you want to take advantage

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Speaker 1: of your right to bear arms, there might be an

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Speaker 1: effort to take that opportunity away from you to exercise

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Speaker 1: your right, not your privilege. But you're right in the

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Speaker 1: line of course and where it stops, whether it's with

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Speaker 1: having beers or otherwise. And I don't mean drinking or

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Speaker 1: smoking and then messing with your firearm, just in general.

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Speaker 2: If you and vibe.

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Speaker 1: The idea for some is that you should not have

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Speaker 1: access to your rights to carry a weapon or to

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Speaker 1: have a weapon to protect your family or your stuff

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Speaker 1: or other wise.

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Speaker 2: Morgan Fox is with us.

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Speaker 1: He's the political director from Normal Once again Welcome back

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Speaker 1: to seven hundred WLW with Sterling.

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Speaker 2: How are you, sir?

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Speaker 3: I'm doing very well, are you?

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Speaker 2: I'm doing all.

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Speaker 4: Right, I think.

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Speaker 1: I mean, there's a lot of stuff in the news

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Speaker 1: in relation to cannabis stuff here, but I think at

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Speaker 1: the top of the list, the Supreme Court argument is

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Speaker 1: a pretty interesting one in a good place to sort

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Speaker 1: of stop first and discuss this, What was the effort

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Speaker 1: and who was behind this, because this isn't about hey,

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Speaker 1: if you're high in then grabbing a weapon and using

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Speaker 1: it irresponsibly. This is just the idea of taking advantage

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Speaker 1: of your right to consume an intoxicating subtance to be

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Speaker 1: a cannabis or even CBD for that matter, as I

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Speaker 1: understand it, What were they thinking and why is this

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Speaker 1: even at the Supreme Court?

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Speaker 5: Well, for decades now, it's been the case that if

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Speaker 5: you consume cannabis, and there's any proof of that whatsoever,

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Speaker 5: you can be denied the ability to purchase a firearm,

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Speaker 5: and if you are caught with a firearm and cannabis,

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Speaker 5: you are potentially facing serious felonies and up to ten.

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Speaker 3: Years in prison.

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Speaker 6: For a number of cases now, over many many years,

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Speaker 6: we've seen district courts rule against this total blanket ban

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Speaker 6: on law abiding or otherwise law abiding depending on what

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Speaker 6: state you're in, cannabis consumers being just categorically banned from

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Speaker 6: having their Second Amendment rights, and.

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Speaker 3: A number of these district courts have ruled against that.

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Speaker 6: Now it's finally in the Supreme Court and Normal has

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Speaker 6: submitted amicus briefs for that case, as well as a

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Speaker 6: number of other of our allied organizations.

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Speaker 3: Everybody from the NRA to the.

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Speaker 6: ACLU, And hopefully we are going to see a reversal

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Speaker 6: of this policy, which I think will be a tremendous

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Speaker 6: boon for Second Amendment rights across the country, I would hope.

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Speaker 3: So.

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Speaker 1: Morgan Fox is the political director for Normal, with Sterling

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Speaker 1: on the one So it was interesting and I may

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Speaker 1: be a bit of a dork in that I pay

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Speaker 1: attention to arguments whether it's in Columbus or you know,

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Speaker 1: other state capitals, let alone in DC, because I find

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Speaker 1: the whole idea of men and women in roads deciding

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Speaker 1: our rights and our freedoms and ability to just mind

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Speaker 1: our own business and making such decisions pretty interesting, and

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Speaker 1: I like it. It didn't seem as if the woman

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Speaker 1: who was arguing against people being able to consume intoxicating

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Speaker 1: cannabis or hemp products really had much of an argument

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Speaker 1: in it. Whether it was Amy Cooney, Barrett or others.

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Speaker 1: It seemed like a lot of the justices were, you know,

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Speaker 1: asking use of alcohol, use of other prescription drugs, and

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Speaker 1: what was the idea behind somehow thinking that this was

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Speaker 1: so much worse than anything else someone would be consuming.

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Speaker 3: Yeah, well, that's definitely part of it. Another part of

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Speaker 3: it is the historical precedent.

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Speaker 6: And there's an absolute zero historical precedent for denying people

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Speaker 6: the ability to purchase or firearms simply based on the

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Speaker 6: substances they consume. It's based on the behavior involved with

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Speaker 6: either of those substances, or just generally, you know, there

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Speaker 6: is historical precedent for denying people's Second Amendment rights over

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Speaker 6: mental illness or habitual drunkenness. But the very fact that

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Speaker 6: somebody is saying like a medical cannabis patient or is

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Speaker 6: it occasional user of cannabis certainly should not be grounds

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Speaker 6: for denying them the rights that are guaranteed to them

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Speaker 6: in the Constitution.

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Speaker 3: As I said, a number of district courts have affirmed.

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Speaker 6: This and judging from the questions that a lot of

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Speaker 6: the Supreme Court justices were asking, I'm very hopeful that

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Speaker 6: we're going to see a similar ruling nationwide which will

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Speaker 6: restore second amic rights to the millions of lawful cannabis

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Speaker 6: consumers in this country.

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Speaker 1: I think it's more than reasonable irrational thought behind that

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Speaker 1: any idea of when they will have a decision out

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Speaker 1: on that before we switch to something else, because I mean,

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Speaker 1: it's always one of those think where they hear arguments

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Speaker 1: and then months later you're like, oh, I forgot they

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Speaker 1: even had that case.

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Speaker 6: Well, typically the Supreme Court will release the rulings two

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Speaker 6: to three months after the end of oral arguments, it

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Speaker 6: could be that they could do that sooner. Obviously, I

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Speaker 6: would like to see that happen as soon as possible

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Speaker 6: so that we can stop law abiding cannabis consumers from

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Speaker 6: being denied their rights or potentially facing federal prosecution and.

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Speaker 3: Ten years plus in jail.

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Speaker 6: But I think we might have to wait a couple

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Speaker 6: of months until we actually get a final ruling on that.

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Speaker 3: But as I said, I'm optimistic based on the questions

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Speaker 3: that were posed by the.

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Speaker 1: Justices, that's good, hopefully more reasonable and rational behavior by

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Speaker 1: the courts and allowing humans in the United States to

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Speaker 1: just be reasonable and responsible adults. One would hope Morgan

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Speaker 1: Fox is a political director for normal. It was Stirling

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Speaker 1: seven hundred WLW something else that came out, and it

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Speaker 1: was an interesting study. And more more seniors, it seems,

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Speaker 1: whether they were children of the sixties, in the Summer

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Speaker 1: of Love or something in between or after for that matter.

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Speaker 1: With the opening of recreational marijuana sales and also medical

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Speaker 1: it seems that more and more people of senior age

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Speaker 1: are using cannabis products and research has come out to

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Speaker 1: say that it actually may benefit them or is that right?

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Speaker 1: Or or certainly not a hindrance for decline a dementia

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Speaker 1: risk or other stuff with people aging. Is that correct?

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Speaker 3: Well?

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Speaker 6: I think the study that you're referencing specifically said that

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Speaker 6: there seems to be a lot less mental decline in

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Speaker 6: other cannabis consumers than there are in non consumers, or

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Speaker 6: at the very least there appears to be a neuroprotective

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Speaker 6: potential for that plant. And I think that that's incredibly

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Speaker 6: useful information to know when senior citizens are considering whether

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Speaker 6: or not they want to use medical care of us

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Speaker 6: and also in order to director research, and this is

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Speaker 6: something that the administration has been really affraupt about and

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Speaker 6: that they want to pursue more research in this, and

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Speaker 6: that they're also pursuing Medicare and Medicaid coverage for at

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Speaker 6: least some sort of kannabinoid products to be reimbursed by

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Speaker 6: medical care.

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Speaker 3: In the United States. And you know, I think that

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Speaker 3: that's a really great sign.

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Speaker 6: I thinks they're moving in the right direction where people

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Speaker 6: are being actually a little bit.

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Speaker 3: More open to the research that's been available for decades.

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Speaker 2: Why has it taken so long? And is it me?

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Speaker 1: Does it seem like all of this now is seemingly

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Speaker 1: moving in more of a reasonable rational direction than at

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Speaker 1: any time probably in my lifetime or yours.

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Speaker 6: Well, we've been moving in this direction, I think for

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Speaker 6: the last couple of decades, as more and more information

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Speaker 6: has become available showing the relative harms and safety and

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Speaker 6: medical applications of canvas, as well as I think, even

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Speaker 6: more importantly, the harms associated with prohibiting cannabis and punishing

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Speaker 6: people on a criminal basis for its use, whether that

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Speaker 6: be for medical purposes or whether that be for you know,

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Speaker 6: something like having a.

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Speaker 1: Beer yeah, and I don't really see that there's drastically

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Speaker 1: any difference. And it's one of these things that's been

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Speaker 1: argued for so long. Something else that's been in the

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Speaker 1: news since weed in the state of Ohio has been

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Speaker 1: decriminalized and made okay for recreational use. And we've talked

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Speaker 1: about this a number of times over the last couple

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Speaker 1: of years. Morgan, they're talking to Morgan Fox, by the way,

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Speaker 1: a political director for the National Organization for the Reform

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Speaker 1: of Marijuana LASS on seven hundred WLW was sterling.

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Speaker 2: Where we are now.

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Speaker 1: There was the effort put forth in a bill signed

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Speaker 1: by the governor who was taking out of the loop

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Speaker 1: that sort of odd farm bill. I don't want to

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Speaker 1: say it was a loophole or something type of carve

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Speaker 1: out for intoxicating hemp or other hemp products that have

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Speaker 1: been being sold but out of the controlled substance arena,

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Speaker 1: which we've talked about. You've said that you're not a

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Speaker 1: fan of it not having any controls on it. Where

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Speaker 1: do we have the ballot initiative now, because they're looking

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Speaker 1: to have that back out there.

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Speaker 7: Well, hopefully we will see that nonain issue to qualify

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Speaker 7: and that specifically would repeal several sections of a bill

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Speaker 7: that was passed by the Ohio legislature urnal that SBE fifty.

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Speaker 6: Six, which, in addition to heavily restricting the unregulated hemp

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Speaker 6: industry and hemp drived intoxicants, recriminalized behavior that voters approved

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Speaker 6: when they passed issue too.

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Speaker 3: And it's completely repugnant.

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Speaker 6: That the legislature decided that they were going to recriminalize

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Speaker 6: behavior that voters were supportive of. And I think we

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Speaker 6: can just hope that we will get the.

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Speaker 3: Opportunity to be able to undo their mistake.

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Speaker 1: What do you I guess the idea behind the change

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Speaker 1: in this was to keep intoxicating products from being sold

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Speaker 1: to underage kids and packaging to keep it from being

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Speaker 1: tantalizing and looking like candy products or otherwise. Though a

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Speaker 1: lot of tobaccos and other stuff look like they're shiny,

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Speaker 1: colorful packages too, and have been for a long time.

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Speaker 1: But the idea that a retailer might not be following

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Speaker 1: basic rules of ideas of under twenty one sales and

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Speaker 1: so on seems pretty basic. Is there a common ground

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Speaker 1: that you think could be found to where these products

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Speaker 1: could be sold and controlled in that way, or do

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Speaker 1: you think that they should be or maybe likely will

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Speaker 1: be wiped off of the available market in Ohio because

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Speaker 1: other states have these same type of situations that have

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Speaker 1: presented themselves since that farm bill pass.

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Speaker 6: Yeah, I think that this is actually a really problematic

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Speaker 6: situation that we're in where were creating silos for different

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Speaker 6: types of products based on their point of derivation. But

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Speaker 6: a much better system would be to regulate all cannabinoids

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Speaker 6: and cannabinoid derived products in a single system. The problem

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Speaker 6: that I had with SB fifty six was that regulating

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Speaker 6: the theretofore more or less unregulated have derived and synthetic

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Speaker 6: cannabinoid system that was resulting in people being able to

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Speaker 6: buy relatively unregulated products. You know, there are a lot

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Speaker 6: of good actors in that space, but a lot of

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Speaker 6: bad actors too being able to buy those products and

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Speaker 6: gas nations no age gating and things like that, And

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Speaker 6: that legislation was tied to completely unnecessary measures that recriminalized

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Speaker 6: totally innocuous behavior for Ohio cannabis consumers, and there was

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Speaker 6: absolutely no reason to do that, And so this is

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Speaker 6: why we need to repeal those measures in SB fifty

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Speaker 6: six as soon as possible. So that we can start

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Speaker 6: moving towards a rational regulatory system for all canne goiling

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Speaker 6: products and stop undermining the will of the voters who

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Speaker 6: clearly said that they wanted these behaviors to be legal.

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Speaker 1: Yeah, it'll be interesting to see how it plays out.

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Speaker 1: I mean, it's just an odd thing. It's like, okay,

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Speaker 1: well here's the line, and people are okay with it,

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Speaker 1: and they're like, no, well here's the new line. And

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Speaker 1: some of the people might be okay with it, and

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Speaker 1: some art I don't recall in my lifetime paying attention

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Speaker 1: to any legislative stuff that anything has sort of come

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Speaker 1: up that's been quite like this. Why do you think

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Speaker 1: is it just the history of the stigma associated with

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Speaker 1: this a product being cannabis, or what do you think

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Speaker 1: it is, aside from just the idea that you know,

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Speaker 1: some retailers are going to take advantage just in general,

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Speaker 1: the stigma, I mean, the.

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Speaker 3: Stigma is definitely a part of it.

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Speaker 6: Bad actors within the unregulated arrived ins intic and habiting

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Speaker 6: space are definitely a factor. Protectionism within the licensed cannabis industry,

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Speaker 6: and lawmakers that are supportive of the sort of like

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Speaker 6: semi monopolies are definitely a part of it. But I

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Speaker 6: think it really comes down to the fact that the

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Speaker 6: Ohio legislature does not respect the will of the people.

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Speaker 2: That's disturbing. There's nothing else to say to that except that's.

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Speaker 1: Very disturbing and seems about dead on accurate, which is

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Speaker 1: very wild. What have I not asked in relation to

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Speaker 1: anything dealing with Normal Business, which, by the way, for

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Speaker 1: those who do not know, it's the National Organization for

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Speaker 1: Reform of Marijuana Laws and Morgan Fox as the political director,

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Speaker 1: was sterling on the bank. When anything else I left

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Speaker 1: out or that you think is of note, Well, there are.

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Speaker 6: A number of things happening at the federal level, admittedly

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Speaker 6: happening somewhat slowly when it comes to standalone legislation, but

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Speaker 6: when it comes to appropriations bills, how the federal government

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Speaker 6: decides to fund things, there are a lot of opportunities

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Speaker 6: to gain additional rights and protections for cannabis consumers, and

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Speaker 6: so if anybody is interested in supporting those efforts, please

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Speaker 6: make sure to.

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Speaker 3: Go to normal dot org and check out the stuff

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Speaker 3: that we're doing there.

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Speaker 1: You go, and I just have to ask for an

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Speaker 1: update because I know growing season is here and no,

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Speaker 1: I'm not even talking about cannabis. By the way, when

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Speaker 1: we talked last couple of times, and you've mentioned the

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Speaker 1: fact that you are a pepper grower in a salsa

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Speaker 1: hot sauce making fool, where are you now in your

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Speaker 1: process in less than a minute, maybe two minutes at most,

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Speaker 1: in your process and development, because I'm just fixated on

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Speaker 1: this idea. I love the garden in the house, I

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Speaker 1: like the garden outside. I love peppers and hot sauce.

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Speaker 1: And you were talking about bringing it to market, which

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Speaker 1: sounded like a complete headache.

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Speaker 6: Oh yeah, I mean, and I think that you know,

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Speaker 6: even though the government shut down the last time we talked,

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Speaker 6: that was a big reason for not being able to

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Speaker 6: get anything through f DA.

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Speaker 3: And I think that related to this conversation.

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Speaker 6: It is questionable whether we're going to be able to

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Speaker 6: get a lot of progress through f DA on some

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Speaker 6: of the the progress that needs to be made in

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Speaker 6: order to facilitate the President Trump's executive order on allowing

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Speaker 6: Medicaid medicare to be able to cover CBD products right

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Speaker 6: because of a lot of extraneous I suppose, distractions, both

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Speaker 6: political and otherwise.

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Speaker 3: But hopefully we're going to see that, you know, continue

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Speaker 3: to move forward.

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Speaker 6: And you know, I guess that directly relates to the

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Speaker 6: hot sass issue, because you know, anytime you need FDA

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Speaker 6: approval for anything, it's already kind of a slow moving

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Speaker 6: organization and if there are any sort of stressors put

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Speaker 6: on an agency, it can be a real pain in

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Speaker 6: the book to get any sort of business done for

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Speaker 6: you know, small farmers, for small producers of any sort

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Speaker 6: of a food product, let alone something as much of

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Speaker 6: a sea change as providing Medicare coverage for CBD products

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Speaker 6: that heretofore have not been covered.

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Speaker 3: But just on a personal tip, I'm just waiting to find.

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Speaker 6: Out when the last process is going to be to

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Speaker 6: be able to move my plants outside so that I

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Speaker 6: can start to bumping those peppers.

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Speaker 1: Outsours looking forward to it, hopefully on some social media

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Speaker 1: we'll see the peppers and sooner and later some hot

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Speaker 1: sauce too. It's pretty interesting. I'm looking forward to it.

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Speaker 1: It's good. Morgan Fox, political director from NORMAL, the National

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Speaker 1: Organization for the Reform Marijuanais Thanks for making time out.

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Speaker 1: I hope you enjoyed the rest of your weekend. We'll

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Speaker 1: see what the Supreme Court has to say sooner than later.

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Speaker 3: Thanks you too, Sarah, take.

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Speaker 2: Care of yourself.

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Speaker 1: Coming up after your nine to thirty report, we got

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Speaker 1: Kevin Carr, Fat guys of the movies talking about that

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Speaker 1: new animated Pixar thing called Hopper and who knows what else,

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Speaker 1: also space stuff with Mike d Wall. Long Way to

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Speaker 1: Go is re roll till midnight tonight on a Friday.

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Speaker 1: Ken Sterling here straight away the news seven hundred WLW.

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Speaker 2: I hate to go back to the movie. Sure, there's

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Speaker 2: been Frankenstein.

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Speaker 1: Movies built and rebuilt creatures of one kind or another,

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Speaker 1: A couple of those recently, one new this weekend, and

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Speaker 1: tick Star's back with something new too. That created something

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Speaker 1: and it looks beautiful at least the trailers. I've seen

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Speaker 1: a guy who sees these things. He picks one every week,

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Speaker 1: he joins us. He can end up in your mailbox

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Speaker 1: if you find him a silver gecko on the substack.

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Speaker 1: He was also my partner of the Chubby and Stick podcast.

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Speaker 1: Kevin Carr, Welcome back to seven hundred w WELW with Sterling.

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Speaker 2: What is going on?

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Speaker 4: Oh? Not much, just just getting ready to talk to

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Speaker 4: you about the new Pixar movie.

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Speaker 2: I guess right, Well, I think so.

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Speaker 1: Yeah, hopper Hopper, Hopper Hopper has nothing to do with

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Speaker 1: the sheriff from Stranger Things.

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Speaker 4: Don't worry.

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Speaker 2: Different things.

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Speaker 4: Maybe that's what you want, and kid the movie you.

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Speaker 2: Could it might be a little different, little strange for sure.

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Speaker 2: What is this about?

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Speaker 1: Is this about like all creatures in Woodland, creatures small

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Speaker 1: furry things or what exactly is this?

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Speaker 8: Yeah?

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Speaker 4: Okay, so the basic gist of it is, there's this

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Speaker 4: girl who loves this Nate. She lives in a town

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Speaker 4: that's called Beaverton, and she there's her favorite Glenn that

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Speaker 4: she was at with her like her grandmother, and grandmother's

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Speaker 4: passed away cause she can't have a Disney movie without

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Speaker 4: a dead parent or relative in there somewhere. But she

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Speaker 4: wants to save it from being bulldozed for a freeway,

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Speaker 4: and so she's been going toe to toe with the

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Speaker 4: mayor and trying to stop it and everything, and she

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Speaker 4: stumbles upon this technology I'm not gonna explain or why,

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Speaker 4: this technology that allows her to basically project her brain,

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Speaker 4: her mind into a robotic beaver that is very realistic,

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Speaker 4: and then she can go talk to the animals and everything,

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Speaker 4: and as the beaver as this as this woodling creature.

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Speaker 4: She starts to try and get them to fight back

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Speaker 4: and everything, and that's the basic gist of it. It

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Speaker 4: goes in that line of Pixar high concept movies. This

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Speaker 4: has been a struggle for me for years on the

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Speaker 4: R video. You know, some things are easy to explain

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Speaker 4: from Pixar. A you know, a rat that wants to

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Speaker 4: be a chef, Okay, that's gratitude. You know, toys that

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Speaker 4: come to life. But then try to try to blurb

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Speaker 4: in and out, inside out as quickly as you can,

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Speaker 4: and it gets a little bit tough. But that's what's

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Speaker 4: so great about Pixar movies is they have these high concept,

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Speaker 4: crazy stuff going on. And Pixar has had some stumbles recently.

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Speaker 4: You know, Lightyear didn't do well and l e O

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Speaker 4: kind of flopped last year. But this is kind of

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Speaker 4: going back to the original idea well, even though it

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Speaker 4: does kind of have that steal that sort of plot

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Speaker 4: point from Avatar. But I mean it's a cute movie,

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Speaker 4: it really is, and it does seem at times derivative

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Speaker 4: from some other Pixar movies, but that's because they've there

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Speaker 4: have been one of like thirty or forty of them

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Speaker 4: by now there's there's a lot.

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Speaker 2: They have made a lot.

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Speaker 1: Now, what do you know about the And I know

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Speaker 1: this is geek stuff, that it's not about content of

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Speaker 1: the film, which looks visually stunning. But over that window

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Speaker 1: of time Kevin Carr, by the way, sober Gecko on

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Speaker 1: Substack with Sterling on the Big One, talking about this

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Speaker 1: new Pixar movie called Hoppers, the visual is amazing. And

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Speaker 1: when they first started doing stuff, we were all blown

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Speaker 1: away then, but they've come a long way. How much

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Speaker 1: different drastically and visually do you think it isn't? And

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Speaker 1: what makes it so much more special? I mean, it's

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Speaker 1: just the technology.

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Speaker 4: I guess, well, yeah, it's it's technology, and you build

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Speaker 4: upon other technology and you get better processing and better

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Speaker 4: computers and different techniques and better emulation processes. I mean,

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Speaker 4: I've had interesting I had had real interesting conversations and

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Speaker 4: interviews with some of the people who work in Pixar.

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Speaker 4: I had the woman I think she I don't think

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Speaker 4: she directs this one, but she's heavily involved in this one.

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Speaker 4: And I talked to her way back when she was

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Speaker 4: working on something early. It may have it may have

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Speaker 4: been Mowana, which is a Disney one rather than Pixar.

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Speaker 4: But her entire job was to figure out how to

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Speaker 4: represent water, and we had a whole conversation about that.

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Speaker 4: But they have people, They have dozens of people just

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Speaker 4: figuring out how to make fur look like fur, and

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Speaker 4: how to make the sunlight come through it, and how

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Speaker 4: to make wind move in a natural, chaotic sense. And

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Speaker 4: it's the science and math and artistry is beyond me.

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Speaker 4: But they've got scores of people doing that, and that's

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Speaker 4: that's where the nuance comes in. They've gotten to the

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Speaker 4: point where they can fully animate everything. It's just it's

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Speaker 4: getting more and more realistic without crossing into that on

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Speaker 4: Kinney Valley, because again, you still have humans. You don't

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Speaker 4: want them to look too human because they look weird,

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Speaker 4: and so they still got to look cartoonish. So there's

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Speaker 4: a lot of stuff that goes on behind the screens

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Speaker 4: in these kind of movies.

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Speaker 1: And how much faster with technology do you think, because

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Speaker 1: I mean you think back to Disney and all the

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Speaker 1: stuff from the early days, some of which now is

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Speaker 1: no longer going to be like it's you know, bit

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Speaker 1: by bit, the trademark or service marks are going away.

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Speaker 1: That's why we've seen some bastardization of some stuff that's

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Speaker 1: been made.

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Speaker 4: But like the public the main stuff like Screamboat Willie

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Speaker 4: and stuff like that, and for Windy dis movie which

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Speaker 4: blending Honey and the Man.

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Speaker 2: Yeah, I love that. But they used to draw this.

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Speaker 1: There were animators like rooms and rooms of them with

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Speaker 1: like pencils and ink and stuff. And now it's obviously

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Speaker 1: uh technology and people behind it with computers.

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Speaker 4: Is it.

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Speaker 1: How much do we know AI in the future of that?

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Speaker 1: I hate to say, And I know everything must like

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Speaker 1: AI AI, everything is AI, but that has to play

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Speaker 1: into this somehow down the line, if not currently.

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Speaker 4: Yeah, well yes and no. I mean it's real dicey

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Speaker 4: for these these companies because you know, Pixar does not

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Speaker 4: want to dip into the AI pool because it would

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Speaker 4: be seen as a slap in the face to all

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Speaker 4: the people that work there. I think a lot of

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Speaker 4: and you've got to really kind of parse AI versus

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Speaker 4: what it is, what it's used for, what people use

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Speaker 4: it for, and how they use it, and whether some

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Speaker 4: people want to use it or never use it. I mean,

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Speaker 4: there's a there's a lot of discussion. I know, you've

442
00:23:03,440 --> 00:23:06,600
Speaker 4: had AI people on before, but I don't think there's

443
00:23:06,600 --> 00:23:08,960
Speaker 4: gonna be anything AI and a Pixar movie anytime soon,

444
00:23:09,000 --> 00:23:13,560
Speaker 4: because Pixar has built itself on the human element of animation.

445
00:23:14,840 --> 00:23:18,960
Speaker 4: And even then AI is used as a g Whiz

446
00:23:19,080 --> 00:23:21,680
Speaker 4: Kitchie type thing of you going on Facebook and saying,

447
00:23:21,680 --> 00:23:24,280
Speaker 4: do an AI portrait of me? Or you want to

448
00:23:24,320 --> 00:23:26,359
Speaker 4: do something. I want to see a dog riding an eagle,

449
00:23:26,440 --> 00:23:30,840
Speaker 4: you know, something like that. But that's that's disposable. That's

450
00:23:31,000 --> 00:23:34,919
Speaker 4: that's there's no market for something like that. You know,

451
00:23:34,960 --> 00:23:38,399
Speaker 4: Like there's an Ohio lottery ad running around it's clearly AI,

452
00:23:38,720 --> 00:23:44,440
Speaker 4: and okay it's a lottery. But like movies like The

453
00:23:44,760 --> 00:23:46,719
Speaker 4: Bad Guys Too. Do you remember that movie that came

454
00:23:46,760 --> 00:23:50,399
Speaker 4: out a couple months ago. Yeah, that one, and and

455
00:23:50,520 --> 00:23:52,600
Speaker 4: other ones that they're starting to do. They're starting to

456
00:23:52,640 --> 00:23:55,679
Speaker 4: put notices on those that say this is not to

457
00:23:55,720 --> 00:23:59,919
Speaker 4: be absorbed by AI and put into their database. We

458
00:24:00,119 --> 00:24:05,000
Speaker 4: prohibit that because there is a huge fight coming, especially

459
00:24:05,640 --> 00:24:10,520
Speaker 4: in U animation and in Hollywood where AI. Because the

460
00:24:10,520 --> 00:24:13,360
Speaker 4: way AI works is it digests all this other stuff

461
00:24:13,680 --> 00:24:15,879
Speaker 4: and then kicks it back out and makes it and

462
00:24:16,000 --> 00:24:19,439
Speaker 4: uses the style. But there's no royalty payment or no

463
00:24:20,400 --> 00:24:23,639
Speaker 4: or no credit given to what it was trained.

464
00:24:23,240 --> 00:24:25,840
Speaker 1: One, and I've talked to experts on that, and I

465
00:24:25,840 --> 00:24:27,399
Speaker 1: don't mean interrupt, but this is the thing that I

466
00:24:27,440 --> 00:24:30,400
Speaker 1: can't process. If you and I went into a room

467
00:24:30,880 --> 00:24:35,280
Speaker 1: and took other people's work and regurgitated it and put

468
00:24:35,280 --> 00:24:36,399
Speaker 1: our thumbprint on it.

469
00:24:36,680 --> 00:24:40,600
Speaker 2: We could be sued. But the AI does that, and

470
00:24:40,680 --> 00:24:42,600
Speaker 2: people go, well, you know it's all out there.

471
00:24:43,359 --> 00:24:45,080
Speaker 4: Yeah, well there's a difference, and that's why I think

472
00:24:45,080 --> 00:24:47,560
Speaker 4: why they're putting those stamps on it. And we talked

473
00:24:47,560 --> 00:24:49,240
Speaker 4: about this a little bit with that that that roof

474
00:24:49,280 --> 00:24:55,320
Speaker 4: type rooftop fight with Brad Pitton, Tom Cruise. Yeah, and

475
00:24:55,359 --> 00:24:59,680
Speaker 4: there's like one with Fanos fighting Darth Vader. Part of those.

476
00:25:00,200 --> 00:25:02,119
Speaker 4: You're getting those and they look cool, but there's no

477
00:25:02,200 --> 00:25:05,080
Speaker 4: story behind them, so you cannot make a movie based

478
00:25:05,119 --> 00:25:08,720
Speaker 4: on that. And they're they're alreadys trying to put safeguards

479
00:25:08,760 --> 00:25:12,600
Speaker 4: in and there are people trying to use AI to

480
00:25:12,280 --> 00:25:15,359
Speaker 4: you know, regurgitate scripts, and I imagine you can probably

481
00:25:15,359 --> 00:25:17,480
Speaker 4: get an AI to regurgitate a you know, like something

482
00:25:17,520 --> 00:25:20,920
Speaker 4: really cheesy, like a like a Hallmark holity. There's something

483
00:25:20,920 --> 00:25:23,879
Speaker 4: that follows that exact formula, but you're not going to

484
00:25:23,920 --> 00:25:25,359
Speaker 4: get a Pixar movie out of it because there's a

485
00:25:25,400 --> 00:25:28,840
Speaker 4: lot of creativity and that sort of flash of genius

486
00:25:29,119 --> 00:25:32,560
Speaker 4: that AI isn't even trained to do. They're just as

487
00:25:32,600 --> 00:25:36,320
Speaker 4: I understand it, Ai, it's a garbage in garbage that

488
00:25:36,400 --> 00:25:38,200
Speaker 4: type thing. They can only do what they've been taught.

489
00:25:38,400 --> 00:25:40,879
Speaker 1: Yeah, and that really is the case in Pixar certainly

490
00:25:40,920 --> 00:25:43,159
Speaker 1: is not garbage, that's for sure. Even though you know

491
00:25:43,320 --> 00:25:45,280
Speaker 1: a couple of those, like you said, weren't exactly as

492
00:25:45,320 --> 00:25:46,440
Speaker 1: popular as they had been.

493
00:25:46,600 --> 00:25:47,280
Speaker 2: So do you like this?

494
00:25:47,400 --> 00:25:48,960
Speaker 1: I mean, if you've got kids, this is one they're

495
00:25:49,000 --> 00:25:51,560
Speaker 1: probably it's hard to find a movie that kids don't like.

496
00:25:51,400 --> 00:25:54,360
Speaker 4: Like this to big a routine right now. So yeah,

497
00:25:54,359 --> 00:25:56,080
Speaker 4: they're no longer a little one.

498
00:25:56,119 --> 00:25:57,000
Speaker 2: They're not yours.

499
00:25:57,080 --> 00:25:58,879
Speaker 1: But I mean when you see this, do you know,

500
00:25:59,240 --> 00:26:01,240
Speaker 1: just like when they were little, did you ever take

501
00:26:01,320 --> 00:26:04,120
Speaker 1: them to an animated feature that they were like, well

502
00:26:04,119 --> 00:26:05,200
Speaker 1: this sucks, dad, let's go.

503
00:26:05,840 --> 00:26:08,280
Speaker 4: Well, they've been ones they liked more than others. Pixar's

504
00:26:09,240 --> 00:26:12,240
Speaker 4: the key with Pixars. Pixar always does stuff that's cute

505
00:26:12,720 --> 00:26:16,119
Speaker 4: and vibrant and entertaining that kids are gonna like even

506
00:26:16,160 --> 00:26:19,840
Speaker 4: the high even something like Up, which has a lot

507
00:26:19,880 --> 00:26:22,280
Speaker 4: of adult themes and ideas in it. And why I

508
00:26:22,280 --> 00:26:23,959
Speaker 4: said adult themes, I don't mean like X Ray. I'm

509
00:26:24,000 --> 00:26:25,080
Speaker 4: just talking about like grown up.

510
00:26:25,520 --> 00:26:25,720
Speaker 2: Yeah.

511
00:26:26,000 --> 00:26:28,959
Speaker 4: Yeah. But then it still has the dog that talks,

512
00:26:29,160 --> 00:26:33,320
Speaker 4: you know what I mean, and which was named Kevin.

513
00:26:33,359 --> 00:26:34,320
Speaker 4: The bird was named Kevin.

514
00:26:34,400 --> 00:26:35,639
Speaker 2: That's Up.

515
00:26:36,200 --> 00:26:38,359
Speaker 4: So that's what Pixar is really good at. That's kind

516
00:26:38,400 --> 00:26:39,879
Speaker 4: of where they're masks all at, where they can do

517
00:26:39,920 --> 00:26:42,560
Speaker 4: the cute stuff that gets the little kids engaged, but

518
00:26:42,600 --> 00:26:45,280
Speaker 4: it also has the story elements that the adults like.

519
00:26:45,760 --> 00:26:49,240
Speaker 4: And so in terms of Hoppers, it's cute forest creatures

520
00:26:49,280 --> 00:26:52,520
Speaker 4: doing funny things. So yeah, kids are gonna like it, right,

521
00:26:52,880 --> 00:26:56,640
Speaker 4: but adults can appreciate it because it goes deeper into

522
00:26:56,680 --> 00:27:00,000
Speaker 4: that and it's a deeper cut and that's what made

523
00:27:00,000 --> 00:27:03,159
Speaker 4: it's a really good movie, even though at times it

524
00:27:03,280 --> 00:27:06,560
Speaker 4: does at certain times kind of feels like it's replaying

525
00:27:06,680 --> 00:27:09,240
Speaker 4: some of Pixar's greatest hits. But like I said, they've

526
00:27:09,240 --> 00:27:12,760
Speaker 4: done a couple of dozen movies, so you're gonna you're

527
00:27:12,760 --> 00:27:14,880
Speaker 4: gonna again.

528
00:27:14,760 --> 00:27:16,200
Speaker 2: Ye, yeah, I would think that's the case.

529
00:27:16,240 --> 00:27:17,920
Speaker 1: Talking to Kevin Carr by the way, Silver Gecko and

530
00:27:17,960 --> 00:27:20,040
Speaker 1: substances where you can find he'll pop in your mailbox.

531
00:27:20,080 --> 00:27:21,960
Speaker 1: He's had this long series. I think it's The Rabbit,

532
00:27:22,040 --> 00:27:24,000
Speaker 1: right or something like that. That's been the.

533
00:27:24,400 --> 00:27:26,560
Speaker 4: Running the Rabbit for Yeah, that's a that's a novella

534
00:27:26,640 --> 00:27:29,879
Speaker 4: that I had been eking out over the weeks.

535
00:27:29,920 --> 00:27:30,440
Speaker 2: Which is great.

536
00:27:30,440 --> 00:27:31,960
Speaker 1: You just sort of here's a little bit, here's a

537
00:27:32,000 --> 00:27:34,320
Speaker 1: little bit, here's a little bit more. That's good marketing.

538
00:27:34,440 --> 00:27:36,760
Speaker 1: I like the way that works. Yeah, all right, so

539
00:27:36,800 --> 00:27:38,639
Speaker 1: Hopper sounds like it might be something now. And I

540
00:27:38,680 --> 00:27:40,879
Speaker 1: know I don't some of this you've seen, maybe some

541
00:27:41,000 --> 00:27:43,240
Speaker 1: you have it. Uh there have been a multitude of

542
00:27:43,240 --> 00:27:45,960
Speaker 1: hockey movies lately, and I know there's another new one

543
00:27:45,960 --> 00:27:48,399
Speaker 1: that just came out this weekend or at least maybe

544
00:27:48,400 --> 00:27:53,600
Speaker 1: streaming called Young Blood. And there's also another Frankenstein or

545
00:27:53,640 --> 00:27:56,200
Speaker 1: Bride the Bride, which is another the Bride of Franken

546
00:27:56,240 --> 00:27:56,639
Speaker 1: stuff the.

547
00:27:56,680 --> 00:27:58,879
Speaker 4: Bride because it's got an exclamation.

548
00:27:58,440 --> 00:27:59,920
Speaker 2: Mark, it does it's very exciting.

549
00:28:00,280 --> 00:28:00,639
Speaker 4: Uh.

550
00:28:00,720 --> 00:28:02,720
Speaker 1: So it's just odd that we have this window of

551
00:28:02,760 --> 00:28:05,360
Speaker 1: time where I can't recall when there were oh, there's

552
00:28:05,400 --> 00:28:07,919
Speaker 1: a couple of hockey movies here here's a and I

553
00:28:07,920 --> 00:28:10,280
Speaker 1: know there have been a variety of Frankenstein type films,

554
00:28:10,320 --> 00:28:12,440
Speaker 1: but you know the Diermo del Toro thing, which I

555
00:28:12,440 --> 00:28:13,080
Speaker 1: thought was cool.

556
00:28:13,160 --> 00:28:14,200
Speaker 2: Now this is The Bride.

557
00:28:14,520 --> 00:28:17,080
Speaker 1: I mean, it just seems like a here's some hockey movies,

558
00:28:17,119 --> 00:28:18,280
Speaker 1: here's some monster movies.

559
00:28:18,359 --> 00:28:18,879
Speaker 2: Very odd.

560
00:28:19,400 --> 00:28:21,879
Speaker 4: Yeah, I don't know. I don't know if Young bloods

561
00:28:21,880 --> 00:28:24,399
Speaker 4: in theaters, but of course I'm assuming that's a remake

562
00:28:24,440 --> 00:28:25,720
Speaker 4: of Young Blood from the eighties.

563
00:28:27,600 --> 00:28:27,800
Speaker 6: Jack.

564
00:28:29,160 --> 00:28:31,080
Speaker 2: Yeah, he's like, he's a daging kid. He's an Ohio

565
00:28:31,119 --> 00:28:34,359
Speaker 2: guy Rob Blaw movie. Yeah, that's true. I think so.

566
00:28:34,359 --> 00:28:36,359
Speaker 2: So there you go, Rush Jagson and you were having

567
00:28:36,359 --> 00:28:37,639
Speaker 2: a mind melt, Kevin.

568
00:28:37,920 --> 00:28:39,920
Speaker 4: There we are. Yeah, you know, I got that Balkan

569
00:28:40,000 --> 00:28:43,080
Speaker 4: strategy going on. But you know, The Bride. What's interesting.

570
00:28:43,280 --> 00:28:45,840
Speaker 4: I've not seen The Bride. I'm very curious about it.

571
00:28:45,880 --> 00:28:50,000
Speaker 4: I understand it's very chaotic and it's not for everyone.

572
00:28:50,800 --> 00:28:53,280
Speaker 4: I think it's I think it's great that like Maggie Jillenhall,

573
00:28:53,320 --> 00:28:57,239
Speaker 4: who the actors, Maggie jillenhal directs that. Ye, and I

574
00:28:57,320 --> 00:28:59,040
Speaker 4: like the fact that she's swinging for the fences and

575
00:28:59,080 --> 00:29:03,720
Speaker 4: it's so completely wholly different than her last movie, which

576
00:29:03,920 --> 00:29:07,360
Speaker 4: was this sort of this relationship drama with Olivia Coleman.

577
00:29:07,360 --> 00:29:10,480
Speaker 4: I can't remember the name of it. Yeah, oh, I

578
00:29:10,480 --> 00:29:14,760
Speaker 4: love Lyvia Coleman. But this one's just kind of off

579
00:29:14,800 --> 00:29:17,920
Speaker 4: the charts in terms of craziness. But also I've heard

580
00:29:18,040 --> 00:29:21,120
Speaker 4: it's kind of like so crazy it doesn't quite give

581
00:29:21,160 --> 00:29:24,240
Speaker 4: you necessarily what you want. But you know, it's not

582
00:29:24,360 --> 00:29:28,040
Speaker 4: a straight up redew of the Bride of Frankenstein, and

583
00:29:28,080 --> 00:29:30,840
Speaker 4: it's certainly not a redew of the Bride which would

584
00:29:30,880 --> 00:29:36,520
Speaker 4: start staying Jennifer Beals back in what nineteen eighty six. Yeah,

585
00:29:36,560 --> 00:29:39,480
Speaker 4: but I mean, I love the if. Frankenstein is such

586
00:29:39,520 --> 00:29:45,160
Speaker 4: a it's it's such a it can be done in

587
00:29:45,200 --> 00:29:47,800
Speaker 4: so many different ways it is. It's that kind of

588
00:29:47,840 --> 00:29:49,680
Speaker 4: movie that you can keep redoing it and you can

589
00:29:49,720 --> 00:29:52,360
Speaker 4: do the original kind of you know, one to one

590
00:29:52,400 --> 00:29:55,920
Speaker 4: comparison of what was written in eighteen eighteen, or you

591
00:29:55,960 --> 00:29:58,000
Speaker 4: can do a modern remake of it, and you can

592
00:29:58,040 --> 00:30:00,840
Speaker 4: do and you can really you can delve deep into

593
00:30:00,880 --> 00:30:03,080
Speaker 4: some of the concepts in there. I mean, Mary Shelley

594
00:30:03,240 --> 00:30:04,960
Speaker 4: was it's a genius piece of work. If you've not

595
00:30:05,080 --> 00:30:08,239
Speaker 4: read it, yeah, it's very flowery.

596
00:30:08,320 --> 00:30:09,480
Speaker 2: A little bit a little bit.

597
00:30:09,560 --> 00:30:12,680
Speaker 4: Yeah, I mean so, I mean it's almost poetic in

598
00:30:12,680 --> 00:30:15,360
Speaker 4: a lot of ways. But it's a fantastic book two,

599
00:30:15,520 --> 00:30:20,480
Speaker 4: which rarely is given the actual treatment of the book.

600
00:30:20,720 --> 00:30:23,600
Speaker 4: Think everyone kind of diverts to the Boris Carlos, the

601
00:30:23,640 --> 00:30:25,720
Speaker 4: James Wayal film from nineteen thirty one.

602
00:30:25,920 --> 00:30:27,960
Speaker 1: Yeah, well, you know what's interesting. And I just just

603
00:30:27,960 --> 00:30:30,280
Speaker 1: search on this and you would know better than I would.

604
00:30:30,440 --> 00:30:31,840
Speaker 1: So I don't know if this is legit or not.

605
00:30:32,320 --> 00:30:35,120
Speaker 1: I just want I asked how many Frankenstein movies have

606
00:30:35,200 --> 00:30:37,960
Speaker 1: been made? Sixty five it says, and they say about

607
00:30:38,000 --> 00:30:40,080
Speaker 1: forty of them. Depending on how you look at it

608
00:30:40,120 --> 00:30:42,520
Speaker 1: would qualify, you know, if you're like being real, I

609
00:30:42,520 --> 00:30:45,240
Speaker 1: guess serious about limiting access.

610
00:30:45,600 --> 00:30:48,960
Speaker 4: Yeah, I mean like the actual Frankenstein's story. But I mean,

611
00:30:49,480 --> 00:30:50,840
Speaker 4: you know there's a been a I mean, does that

612
00:30:50,840 --> 00:30:53,400
Speaker 4: include young Frankenstein and then does that include like ghost

613
00:30:53,440 --> 00:30:55,720
Speaker 4: of Frankenstein and Son of Frankenstein.

614
00:30:56,080 --> 00:31:00,480
Speaker 2: I've got questions now answers, and you're giving me more questions.

615
00:31:00,560 --> 00:31:03,240
Speaker 2: That's not helpful. That's not how we're supposed to work.

616
00:31:03,680 --> 00:31:07,200
Speaker 4: But Frankenstein shows up just in just in the universal running,

617
00:31:07,240 --> 00:31:10,040
Speaker 4: he shows up like six times I mean what Frankenstein,

618
00:31:10,040 --> 00:31:14,080
Speaker 4: bride of Frankenstein, son of Frankenstein, goes to Frankenstein. Then

619
00:31:14,120 --> 00:31:18,120
Speaker 4: he shows up and Frankenstein meets the wolfman Frankenstein, House

620
00:31:18,160 --> 00:31:23,600
Speaker 4: of Dracula, House of Frankensteinstein. And do you count the

621
00:31:23,720 --> 00:31:26,120
Speaker 4: monsters as a as a TV because that's a.

622
00:31:26,080 --> 00:31:28,000
Speaker 2: Franken Frankenstein too.

623
00:31:28,080 --> 00:31:28,240
Speaker 9: Yeah.

624
00:31:28,280 --> 00:31:30,560
Speaker 2: See, I don't even know. So what qualifies just general?

625
00:31:31,360 --> 00:31:33,680
Speaker 1: Is it like creatures that have been pieced back together

626
00:31:33,800 --> 00:31:35,920
Speaker 1: counts as a Frankenstein even if you don't give it

627
00:31:35,960 --> 00:31:37,000
Speaker 1: a Frankenstein name.

628
00:31:37,040 --> 00:31:38,160
Speaker 2: I don't know what the rules are.

629
00:31:38,520 --> 00:31:40,560
Speaker 4: I would say if you just say a straight up

630
00:31:40,600 --> 00:31:43,320
Speaker 4: Frankenstein movie, it involves the creator and a monster of

631
00:31:43,360 --> 00:31:46,320
Speaker 4: some sort. Okay, But I mean, you you there's a

632
00:31:46,320 --> 00:31:49,640
Speaker 4: lot of stuff that that is that that is its

633
00:31:49,640 --> 00:31:52,520
Speaker 4: own Frankens. It's like there's so many versions of Pigmalion.

634
00:31:52,640 --> 00:31:54,600
Speaker 4: You got, you know, my fair lady, you got pretty Woman,

635
00:31:55,080 --> 00:31:57,920
Speaker 4: and and so you know, I'm trying to think of

636
00:31:58,160 --> 00:32:01,520
Speaker 4: a good example of a you know, there's a lot

637
00:32:01,560 --> 00:32:04,960
Speaker 4: of stories that are Frankenstein's stories where somebody makes that

638
00:32:04,920 --> 00:32:08,320
Speaker 4: the product of their own creation comes back and bites

639
00:32:08,360 --> 00:32:08,960
Speaker 4: him into tail.

640
00:32:09,400 --> 00:32:11,120
Speaker 1: Is it wrong for me to say that I think

641
00:32:11,160 --> 00:32:16,280
Speaker 1: that the bride, uh, she's somehow kind of Gothy hot

642
00:32:16,320 --> 00:32:16,520
Speaker 1: to me.

643
00:32:17,320 --> 00:32:19,440
Speaker 4: Yeah, you know, I get that. I mean Jesse Jesse

644
00:32:19,520 --> 00:32:22,600
Speaker 4: Buckley hot because she's probably gonna win the Oscar for Hamnet,

645
00:32:22,600 --> 00:32:22,960
Speaker 4: which is a.

646
00:32:23,160 --> 00:32:26,720
Speaker 1: Very And for those who don't know, because we're about

647
00:32:26,720 --> 00:32:28,920
Speaker 1: out of time, that that's basically a story of Shakespeare

648
00:32:28,960 --> 00:32:31,200
Speaker 1: and how he put together one of his stories.

649
00:32:31,600 --> 00:32:34,000
Speaker 4: Well, yeah, because it's it's based on the death of

650
00:32:34,040 --> 00:32:38,400
Speaker 4: his son, right, yeah, and that's that's the tragedy, is

651
00:32:38,400 --> 00:32:41,480
Speaker 4: what spawned Hamlet, you know what some people would consider

652
00:32:41,560 --> 00:32:42,280
Speaker 4: his greatest play.

653
00:32:42,600 --> 00:32:45,080
Speaker 1: All Right, We've gone so deep into the woods and

654
00:32:45,080 --> 00:32:47,120
Speaker 1: out in a multitude of ways, and it makes me

655
00:32:47,160 --> 00:32:49,600
Speaker 1: want to watch the movies. But I have audio to create,

656
00:32:49,640 --> 00:32:52,040
Speaker 1: and you have helped bring us to the next level.

657
00:32:52,200 --> 00:32:53,840
Speaker 1: Without you, I don't know where I would be. Kevin

658
00:32:53,880 --> 00:32:57,840
Speaker 1: Carr I remember, yes, yes, you can find him on

659
00:32:57,880 --> 00:33:02,880
Speaker 1: the Silber Gecko on substack. I'm sorry, I'm fine. I've

660
00:33:02,920 --> 00:33:05,000
Speaker 1: had all day to prepare for this. I was telling

661
00:33:05,040 --> 00:33:07,640
Speaker 1: Russ Jackson off the air all day. I've been talking

662
00:33:07,880 --> 00:33:10,760
Speaker 1: and fairly clearly here I finally get to hear to

663
00:33:10,800 --> 00:33:13,480
Speaker 1: the show can't talk, can't think and put it all together,

664
00:33:13,520 --> 00:33:15,240
Speaker 1: and all I have is three hours to do out

665
00:33:15,280 --> 00:33:19,000
Speaker 1: of the whole day to this. It's either or maybe

666
00:33:19,000 --> 00:33:23,200
Speaker 1: a cocktail. We'll see how it goes. Oh no, let's

667
00:33:23,240 --> 00:33:25,040
Speaker 1: not do that. No, that's true. Ice T be great,

668
00:33:25,080 --> 00:33:27,760
Speaker 1: all right, Kevin Carr, thank you, we'll talk to you. Yeah,

669
00:33:27,760 --> 00:33:31,600
Speaker 1: Man Silver, geto substack Kevin Carr straight away, ten o'clock

670
00:33:31,640 --> 00:33:34,720
Speaker 1: report latest on what's going on in Iran across the country.

671
00:33:34,760 --> 00:33:37,960
Speaker 1: President Trump coming to town sooner than later to tote

672
00:33:38,160 --> 00:33:41,040
Speaker 1: his agenda. We'll see how that. It comes up in

673
00:33:41,080 --> 00:33:43,080
Speaker 1: the news the other side. A number of things to

674
00:33:43,120 --> 00:33:45,160
Speaker 1: get to, but now we got to stop for news.

675
00:33:45,320 --> 00:33:49,280
Speaker 1: Home of the Reds they play here, seven hundred WLW, Cincinnati.

676
00:33:50,040 --> 00:33:54,160
Speaker 1: It's in every newscast just about you get a.

677
00:33:54,120 --> 00:33:55,320
Speaker 2: News feed, it's there.

678
00:33:55,440 --> 00:33:59,520
Speaker 1: At least I bet I saw three four stories just

679
00:33:59,560 --> 00:34:01,640
Speaker 1: since I been here that have popped up.

680
00:34:01,560 --> 00:34:03,200
Speaker 2: In my feed on my phone.

681
00:34:03,800 --> 00:34:06,280
Speaker 1: How you doing at Sterling hanging out find Friday into

682
00:34:06,320 --> 00:34:10,040
Speaker 1: the weekend, seven hundred WLW. The talk is that we'll

683
00:34:10,080 --> 00:34:12,640
Speaker 1: have robots doing all kinds of work and chores we

684
00:34:12,680 --> 00:34:18,080
Speaker 1: don't want to do. Technology helping surgeons and doctors and

685
00:34:20,000 --> 00:34:23,880
Speaker 1: caregivers for children and everything else, and we'll have all

686
00:34:23,960 --> 00:34:26,880
Speaker 1: kinds of free time, they say. But I came across

687
00:34:26,920 --> 00:34:31,239
Speaker 1: something that I I had a weird conversation with a

688
00:34:31,239 --> 00:34:33,840
Speaker 1: friend of mine and said that they had been to

689
00:34:33,920 --> 00:34:39,160
Speaker 1: Japan on some business and they had talked about going

690
00:34:39,239 --> 00:34:41,879
Speaker 1: to a massus and getting like a fool on rubbed down.

691
00:34:41,960 --> 00:34:44,520
Speaker 1: We joked a little about you know, you know, Geisha

692
00:34:44,560 --> 00:34:47,319
Speaker 1: and all the other stuff with that, and he's like, nah, dude, no, no, no,

693
00:34:47,520 --> 00:34:50,520
Speaker 1: And then they he said that they had a robot massuse,

694
00:34:50,920 --> 00:34:55,360
Speaker 1: like they would have a machine effectively that would do

695
00:34:55,440 --> 00:35:00,399
Speaker 1: a massage, and it was he said, early stages and

696
00:35:01,760 --> 00:35:04,360
Speaker 1: sooner than later. Next level, he said, the way they talked,

697
00:35:04,360 --> 00:35:06,359
Speaker 1: that it would be something that all of us could

698
00:35:06,360 --> 00:35:09,880
Speaker 1: be doing sooner than later. And I just started thinking

699
00:35:09,920 --> 00:35:13,319
Speaker 1: about what could possibly go wrong with the machine. A

700
00:35:13,440 --> 00:35:19,320
Speaker 1: robot is your masseuse, and aside from an ups factor

701
00:35:19,440 --> 00:35:25,319
Speaker 1: with its human ish humanoid not so technologically, I mean,

702
00:35:25,400 --> 00:35:30,000
Speaker 1: you know, dexterius appendages and so forth, squeezing and rubbing

703
00:35:30,000 --> 00:35:33,120
Speaker 1: and manipulating muscle groups and everything else that goes along

704
00:35:33,160 --> 00:35:35,000
Speaker 1: with that, a different type of happy ending. I would

705
00:35:35,000 --> 00:35:37,760
Speaker 1: imagine for sure. But I ask you, would you trust

706
00:35:38,200 --> 00:35:42,439
Speaker 1: a machine, a robot to give you a massage? I mean,

707
00:35:42,800 --> 00:35:46,160
Speaker 1: I could just see even if it wasn't, you know,

708
00:35:46,239 --> 00:35:49,759
Speaker 1: aside from an issue of somebody taking over controls of

709
00:35:49,800 --> 00:35:53,640
Speaker 1: it and then like deliberately manipulating it to cause harm,

710
00:35:54,120 --> 00:35:55,920
Speaker 1: if there was an ups or something in youre in

711
00:35:56,000 --> 00:35:58,239
Speaker 1: there and there's not a human you know, handling it,

712
00:35:58,320 --> 00:36:01,640
Speaker 1: controlling it, watching it it with a shut off in

713
00:36:01,680 --> 00:36:04,160
Speaker 1: a way to unplug it if in fact things get

714
00:36:04,200 --> 00:36:09,319
Speaker 1: weird I or dangerous. I can't I can't imagine that

715
00:36:09,400 --> 00:36:11,879
Speaker 1: being a smart play this early in the game. Now

716
00:36:11,920 --> 00:36:14,279
Speaker 1: maybe down the line, I would not want to be

717
00:36:14,440 --> 00:36:16,759
Speaker 1: a test candidate. He said it was fine, but it

718
00:36:16,880 --> 00:36:19,280
Speaker 1: wasn't able to do all the stuff that the regular

719
00:36:19,360 --> 00:36:20,000
Speaker 1: masseuse did.

720
00:36:20,000 --> 00:36:21,640
Speaker 2: And I guess he had like a half human.

721
00:36:21,640 --> 00:36:23,800
Speaker 1: It was like a half and half, which also lends

722
00:36:24,000 --> 00:36:26,960
Speaker 1: itself to another conversation that we probably can't have or

723
00:36:27,000 --> 00:36:29,520
Speaker 1: shouldn't have on the radio in that situation.

724
00:36:29,760 --> 00:36:30,839
Speaker 2: So I just want to know.

725
00:36:31,239 --> 00:36:35,279
Speaker 1: I'd say, no way in hell would I trust a

726
00:36:35,480 --> 00:36:39,200
Speaker 1: robot to give me a massage. And you go to

727
00:36:39,239 --> 00:36:42,359
Speaker 1: the next level of that, and you know, and all

728
00:36:42,480 --> 00:36:45,520
Speaker 1: to talk is and in Columbus lawmakers in the great

729
00:36:45,560 --> 00:36:48,000
Speaker 1: state of Ohio, it's been floated. I don't think it's

730
00:36:48,040 --> 00:36:50,759
Speaker 1: gotten out of committee at this point, but one of

731
00:36:50,800 --> 00:36:54,120
Speaker 1: our lawmakers was saying that he wanted to have a

732
00:36:54,160 --> 00:36:57,600
Speaker 1: build that would confirm that AI was not a sentient being.

733
00:36:57,680 --> 00:37:01,440
Speaker 1: Therefore humans could not go to the justice of the

734
00:37:01,480 --> 00:37:07,160
Speaker 1: peace and say I do forever and always. This machine

735
00:37:07,200 --> 00:37:10,839
Speaker 1: will obey me as my wife or my husband. And

736
00:37:10,880 --> 00:37:13,640
Speaker 1: that's a whole nother next level thing. And I thought

737
00:37:13,680 --> 00:37:16,040
Speaker 1: that was a little premature to be working on that.

738
00:37:16,120 --> 00:37:19,520
Speaker 1: But maybe, as we've talked, technology has been behind and

739
00:37:19,560 --> 00:37:22,520
Speaker 1: continues to be technology. I should say, is a head

740
00:37:22,520 --> 00:37:25,920
Speaker 1: of a law. Law is behind technology. It's always been

741
00:37:25,960 --> 00:37:28,759
Speaker 1: that way, it continues to be that way. It's in

742
00:37:28,840 --> 00:37:32,240
Speaker 1: the news right now dealing with AI and war plans

743
00:37:32,400 --> 00:37:35,600
Speaker 1: and control of weaponry. But this is where I'm you know,

744
00:37:35,640 --> 00:37:38,560
Speaker 1: they're talking about having weapons as soldiers. You can also

745
00:37:38,640 --> 00:37:40,880
Speaker 1: have a weapon to take care of your kids, or

746
00:37:40,920 --> 00:37:42,440
Speaker 1: I should say, a robot not a weapon.

747
00:37:43,040 --> 00:37:44,560
Speaker 2: It was Freudian, I think maybe.

748
00:37:45,080 --> 00:37:47,960
Speaker 1: And then the other idea is the robot massage five

749
00:37:48,000 --> 00:37:50,839
Speaker 1: one threes, seven, four, nine, seven, eight, hundredth the Big

750
00:37:50,880 --> 00:37:54,120
Speaker 1: One Talk Back, the iHeartRadio app. You know, spa days,

751
00:37:54,160 --> 00:37:59,280
Speaker 1: spa weekend get away kind of thing. It's nice, it's relaxing.

752
00:37:59,320 --> 00:38:00,759
Speaker 1: You can do it as a you do it on

753
00:38:00,800 --> 00:38:04,000
Speaker 1: your own. Uh you know, obviously it's therapeutic. Sometimes you

754
00:38:04,040 --> 00:38:05,680
Speaker 1: do it because you have to to get a massage,

755
00:38:05,680 --> 00:38:07,920
Speaker 1: because you got you know, a health issue or whatever else.

756
00:38:08,320 --> 00:38:10,880
Speaker 1: Would you want to be manipulated by and would you

757
00:38:11,160 --> 00:38:16,799
Speaker 1: trust a robot massuse? And because you are about as

758
00:38:16,880 --> 00:38:18,920
Speaker 1: vulnerable as I can imagine. I mean, have you ever

759
00:38:18,920 --> 00:38:22,759
Speaker 1: fallen asleep getting a massage? If you've gotten one, I have, right,

760
00:38:23,000 --> 00:38:26,239
Speaker 1: and like, hey, you know I need to move here there, Okay,

761
00:38:26,239 --> 00:38:28,040
Speaker 1: we're you know, we're all done. It just puts me

762
00:38:28,120 --> 00:38:30,320
Speaker 1: to sleep and then you just hope nothing weird happens

763
00:38:30,400 --> 00:38:32,600
Speaker 1: or you know, something funny doesn't go on. But what

764
00:38:32,680 --> 00:38:34,799
Speaker 1: I don't think I'd be able to do that with

765
00:38:35,239 --> 00:38:39,440
Speaker 1: a robot. I don't know. It just seems very difficult

766
00:38:39,760 --> 00:38:43,040
Speaker 1: in trusting it and where it could possibly go wrong.

767
00:38:43,320 --> 00:38:46,880
Speaker 1: You know, you can tell me, uh, if that certainly,

768
00:38:47,000 --> 00:38:49,040
Speaker 1: I mean, if it's cheaper, I guess if you could

769
00:38:49,040 --> 00:38:51,520
Speaker 1: have one at the house anytime, that you wanted it maybe,

770
00:38:51,800 --> 00:38:54,399
Speaker 1: and then you've got, of course the love doll, which

771
00:38:54,600 --> 00:38:57,440
Speaker 1: or love robot, which people are wanting to date and

772
00:38:57,480 --> 00:39:00,319
Speaker 1: have relationship with U and so on. And I don't

773
00:39:00,400 --> 00:39:04,040
Speaker 1: mean like the AI on the phone or any other device.

774
00:39:04,280 --> 00:39:10,480
Speaker 1: I mean literally like a programmed look alike human that

775
00:39:10,600 --> 00:39:15,960
Speaker 1: individuals might spend quality time with as someone to keep

776
00:39:16,000 --> 00:39:20,800
Speaker 1: a company at, someone to show you some love, maybe literally,

777
00:39:20,880 --> 00:39:23,760
Speaker 1: maybe figuratively. It gets kind of weird and creepy pretty fast.

778
00:39:24,160 --> 00:39:27,400
Speaker 1: But you know that's a whole other thing. And the

779
00:39:27,440 --> 00:39:32,239
Speaker 1: idea of people, you know, becoming so involved with the technology,

780
00:39:32,320 --> 00:39:35,359
Speaker 1: with the device, with the robot. I mean, I don't

781
00:39:35,360 --> 00:39:37,920
Speaker 1: know the next five years, next ten years. You know,

782
00:39:37,960 --> 00:39:40,399
Speaker 1: you go down to a ballpark and there'll be people

783
00:39:40,440 --> 00:39:44,040
Speaker 1: looking to buy tickets for their their robot to come

784
00:39:44,040 --> 00:39:46,279
Speaker 1: to the ballpark with them. You know, it would be

785
00:39:46,640 --> 00:39:50,200
Speaker 1: like no robot section or something along those lines. You're

786
00:39:50,200 --> 00:39:52,480
Speaker 1: going to go to dinner and instead of being alone,

787
00:39:52,520 --> 00:39:55,840
Speaker 1: maybe you'll have your companion with you sitting at the table.

788
00:39:55,880 --> 00:39:56,880
Speaker 2: That would be a robot.

789
00:39:57,400 --> 00:39:59,640
Speaker 1: I mean, don't I don't know where the line, but

790
00:39:59,640 --> 00:40:03,080
Speaker 1: they're say very quickly, whether it's childcare at home, childcare

791
00:40:03,160 --> 00:40:06,600
Speaker 1: at like a kid's place. We know the expense, we

792
00:40:06,680 --> 00:40:10,680
Speaker 1: know the access issues in the limitations that a lot

793
00:40:10,680 --> 00:40:14,439
Speaker 1: of people have getting childcare. This could be it down

794
00:40:14,480 --> 00:40:17,640
Speaker 1: the line. You know, you just wonder how has it

795
00:40:17,680 --> 00:40:21,320
Speaker 1: been programmed? Who programmed it? May be safer than humans,

796
00:40:21,480 --> 00:40:24,040
Speaker 1: you know, but the vast majority of caregivers, the vast

797
00:40:24,040 --> 00:40:27,360
Speaker 1: majority of people that are you know, caring for kids

798
00:40:27,560 --> 00:40:30,720
Speaker 1: or doing massage, one would figure they're probably.

799
00:40:32,080 --> 00:40:34,719
Speaker 2: Above board, right, I.

800
00:40:34,680 --> 00:40:38,120
Speaker 1: Mean over time, maybe the cost value of that you

801
00:40:38,160 --> 00:40:42,120
Speaker 1: spend extra number of dollars for the childcare provider, and

802
00:40:42,160 --> 00:40:44,319
Speaker 1: maybe then you change the software and after the kids

803
00:40:44,320 --> 00:40:46,680
Speaker 1: are older, they can be you know, some other type

804
00:40:46,680 --> 00:40:49,920
Speaker 1: of help over time. But I could see where it

805
00:40:50,040 --> 00:40:54,279
Speaker 1: might get a little bit dangerous. What happens if you

806
00:40:54,440 --> 00:41:00,360
Speaker 1: aggravate the AI messuse or the AI caregiver robot and

807
00:41:00,400 --> 00:41:03,359
Speaker 1: then it decides to go terminate. I mean, maybe I'm

808
00:41:03,400 --> 00:41:06,600
Speaker 1: just paranoid, but I'm always going to think worst case scenario.

809
00:41:06,600 --> 00:41:07,880
Speaker 2: What could be because of the movies?

810
00:41:08,080 --> 00:41:10,520
Speaker 1: If I went three, seven, four, nine, eight hundred, the

811
00:41:10,520 --> 00:41:12,680
Speaker 1: big one, are you ready for a robot? Massusse to

812
00:41:12,719 --> 00:41:16,400
Speaker 1: Williamsburg with h William Which is ironic Sterling on the

813
00:41:16,400 --> 00:41:17,200
Speaker 1: big one A William.

814
00:41:17,200 --> 00:41:20,240
Speaker 9: What's up, hey, Charling, how are you doing to saving?

815
00:41:20,360 --> 00:41:23,160
Speaker 2: I'm doing okay? Tell me? Would you want a robot massous?

816
00:41:24,560 --> 00:41:28,400
Speaker 9: Yes, sir, I've had chronic back pain in my entire life.

817
00:41:28,880 --> 00:41:31,640
Speaker 9: I heard my back sometime ago falling on the ice.

818
00:41:31,960 --> 00:41:34,000
Speaker 10: Not good, and I wouldn't.

819
00:41:34,400 --> 00:41:38,200
Speaker 9: I've been to these witch doctor carra practors and things

820
00:41:38,239 --> 00:41:40,759
Speaker 9: of that nature. They just want forty five dollars every

821
00:41:40,760 --> 00:41:44,520
Speaker 9: time to come to their establishment, and a staff crackle

822
00:41:44,600 --> 00:41:48,560
Speaker 9: poppy and you feel good for about forty five minutes,

823
00:41:49,000 --> 00:41:51,239
Speaker 9: and then by god, you've got to take another a

824
00:41:51,320 --> 00:41:54,600
Speaker 9: muscle lexer. But I wouldn't. I don't know what's your take,

825
00:41:54,640 --> 00:41:57,040
Speaker 9: but I wouldn't mind being violated by one of them.

826
00:41:57,160 --> 00:42:02,719
Speaker 2: There See, there's a first between being massaged and being violated. Now,

827
00:42:02,760 --> 00:42:05,239
Speaker 2: the violation some people pay good money for that. I

828
00:42:05,280 --> 00:42:08,360
Speaker 2: suppose yeah, but I don't know. If I go ahead.

829
00:42:09,280 --> 00:42:12,000
Speaker 9: When you get up in your seventies, you'll take everything

830
00:42:12,080 --> 00:42:12,640
Speaker 9: you can take.

831
00:42:14,400 --> 00:42:16,319
Speaker 1: I suppose that's true. I hope to make it into

832
00:42:16,360 --> 00:42:18,200
Speaker 1: my seventies. We'll see how it goes. William, thank you.

833
00:42:18,239 --> 00:42:20,680
Speaker 1: I appreciate the call. So William would be for it,

834
00:42:20,719 --> 00:42:22,839
Speaker 1: but it sounds like he would like a different type

835
00:42:22,880 --> 00:42:25,560
Speaker 1: of companion perhaps in that situation, not just for the

836
00:42:25,600 --> 00:42:28,920
Speaker 1: snap crackle and pop rice chrispy like back treatment, but

837
00:42:28,960 --> 00:42:32,680
Speaker 1: maybe some other type of treatment too. Five one, three, seven, nine, seven,

838
00:42:33,160 --> 00:42:36,040
Speaker 1: eight hundred the Big One. I would just be afraid that.

839
00:42:36,239 --> 00:42:38,480
Speaker 1: I mean, you would want limits. What happens if it

840
00:42:38,480 --> 00:42:41,160
Speaker 1: squeezes you too hard, it grabs you to what you know?

841
00:42:41,280 --> 00:42:43,319
Speaker 1: The next thing you know you've been manipulated in a

842
00:42:43,320 --> 00:42:45,160
Speaker 1: weird way, or you have offended it.

843
00:42:45,560 --> 00:42:48,160
Speaker 2: I mean, I don't mean to offend anyone.

844
00:42:48,440 --> 00:42:52,480
Speaker 1: I try very hard to be as congenial and thoughtful

845
00:42:52,520 --> 00:42:55,319
Speaker 1: as I possibly can to my fellow human beings, but

846
00:42:55,440 --> 00:42:58,160
Speaker 1: I often say things that can cross the line.

847
00:42:58,200 --> 00:43:00,640
Speaker 2: I don't mean to. I maybe provoke thought.

848
00:43:01,160 --> 00:43:04,880
Speaker 1: I would hope that in that situation the machine wouldn't

849
00:43:04,920 --> 00:43:08,560
Speaker 1: take offense and then cross the line. I just safeguards

850
00:43:08,560 --> 00:43:10,120
Speaker 1: would be in place. I don't think I'd want to

851
00:43:10,160 --> 00:43:13,720
Speaker 1: be the first one in the neighborhood with the robot

852
00:43:13,760 --> 00:43:17,279
Speaker 1: massus or the robot childcare provider. It could be me

853
00:43:17,400 --> 00:43:20,439
Speaker 1: to Jim now in Ambersville was Sterling on the Big One? Hey, Jim,

854
00:43:20,480 --> 00:43:26,440
Speaker 1: what do you know, Jim. Yeah, hey, Matt, at your time.

855
00:43:26,719 --> 00:43:32,960
Speaker 10: I don't want that part. No, I would want a

856
00:43:33,000 --> 00:43:37,680
Speaker 10: real woman with general soft hands. Yes, that would be

857
00:43:37,719 --> 00:43:38,720
Speaker 10: perfectly fine.

858
00:43:38,800 --> 00:43:40,600
Speaker 2: That would be for the robot massus.

859
00:43:40,680 --> 00:43:43,600
Speaker 1: You say you no robot massuse, but a female would

860
00:43:43,600 --> 00:43:46,040
Speaker 1: you go to a male masseuse to give you in

861
00:43:46,040 --> 00:43:47,320
Speaker 1: a you know, like a rubdown?

862
00:43:48,719 --> 00:43:52,120
Speaker 9: I don't believe so.

863
00:43:52,560 --> 00:43:54,560
Speaker 1: Is the weird thing is that you get into that

864
00:43:54,600 --> 00:43:56,080
Speaker 1: And Jim, I appreciate the call me and thank you.

865
00:43:56,120 --> 00:44:01,680
Speaker 1: And I've had this conversation before in that I've had

866
00:44:01,760 --> 00:44:03,719
Speaker 1: a friend of mine very close to me, and she's like, well,

867
00:44:03,760 --> 00:44:04,760
Speaker 1: I'm gonna go to the messuse.

868
00:44:04,760 --> 00:44:05,959
Speaker 2: I want to let you know it was a dude.

869
00:44:06,520 --> 00:44:10,560
Speaker 1: And I'm like, I really hadn't thought about it, okay,

870
00:44:10,920 --> 00:44:12,680
Speaker 1: And she's like, well, you're not going to have a problem.

871
00:44:12,719 --> 00:44:14,960
Speaker 1: And she tells me that she had gone out with

872
00:44:15,000 --> 00:44:18,200
Speaker 1: another guy at the time and he had a problem

873
00:44:18,200 --> 00:44:21,520
Speaker 1: with her going to get a massage from a guy.

874
00:44:21,719 --> 00:44:24,160
Speaker 1: He wanted her to go to a female messus. And

875
00:44:24,200 --> 00:44:26,879
Speaker 1: I'm like, well, it's a massage. It's not like you're

876
00:44:26,920 --> 00:44:29,480
Speaker 1: going to go get You're not going to a brothel.

877
00:44:30,120 --> 00:44:32,120
Speaker 1: You're going to go get a rub down. So I

878
00:44:32,400 --> 00:44:37,400
Speaker 1: didn't necessarily see the problem in the uncomfortable factor in

879
00:44:37,560 --> 00:44:41,920
Speaker 1: that relationship situation. I suppose could be there on either

880
00:44:41,960 --> 00:44:46,040
Speaker 1: side of the coin, but I'd be less fearful of

881
00:44:46,080 --> 00:44:48,520
Speaker 1: a male masseuse than I would be of a robot

882
00:44:48,600 --> 00:44:50,840
Speaker 1: massuse at this point, you know, when it comes to

883
00:44:50,960 --> 00:44:53,919
Speaker 1: manipulation or controller otherwise five went three, seven, four, nine, seven,

884
00:44:54,280 --> 00:44:56,360
Speaker 1: eight hundred, the big one. Your chance to get interactive

885
00:44:56,760 --> 00:44:58,399
Speaker 1: something else here when we come back after your ten

886
00:44:58,440 --> 00:45:00,359
Speaker 1: third or report. And I'll mention this a little here

887
00:45:00,400 --> 00:45:04,120
Speaker 1: now too. Conversation I had to start the show was

888
00:45:04,160 --> 00:45:05,040
Speaker 1: with Morgan Fox.

889
00:45:05,120 --> 00:45:05,960
Speaker 2: He works for.

890
00:45:07,440 --> 00:45:10,759
Speaker 1: Normal which is an organization that's tried to get back

891
00:45:10,760 --> 00:45:16,200
Speaker 1: to a normalized law and rational control of marijuana across

892
00:45:16,239 --> 00:45:20,080
Speaker 1: these United States effectively. And we're talking about the issue

893
00:45:20,080 --> 00:45:22,360
Speaker 1: of cannabis use and what was argued in front of

894
00:45:22,360 --> 00:45:25,600
Speaker 1: the Supreme Court the other day, which is the idea,

895
00:45:26,239 --> 00:45:29,160
Speaker 1: and the court seemed thankfully, although you don't know until

896
00:45:29,200 --> 00:45:31,640
Speaker 1: they come up with the decision, which could be months

897
00:45:31,680 --> 00:45:35,080
Speaker 1: from now, but they seemed less inclined by the way

898
00:45:35,080 --> 00:45:37,759
Speaker 1: of their questioning to be hip to the idea to

899
00:45:37,920 --> 00:45:44,120
Speaker 1: keep people from having access to firearms and embracing the

900
00:45:44,160 --> 00:45:50,600
Speaker 1: Second Amendment bare arms for anyone using marijuana, because there

901
00:45:50,600 --> 00:45:52,719
Speaker 1: are some people who are of the opinion that if

902
00:45:52,719 --> 00:45:55,360
Speaker 1: you use marijuana, and I don't mean getting high and

903
00:45:55,400 --> 00:45:58,200
Speaker 1: then picking up your gun, just in general, if you

904
00:45:58,480 --> 00:46:02,600
Speaker 1: and vibe, whether it's for medical purposes or recreational purposes,

905
00:46:02,880 --> 00:46:05,279
Speaker 1: the idea and I don't see any difference between that

906
00:46:05,360 --> 00:46:08,120
Speaker 1: and alcohol, which is really the rub. And where do

907
00:46:08,200 --> 00:46:11,120
Speaker 1: they stop. Because it's been illegal for anyone who uses

908
00:46:11,160 --> 00:46:14,440
Speaker 1: marijuana or cannabis products to have a firearm or use one.

909
00:46:14,719 --> 00:46:16,960
Speaker 1: They want to keep that even though it's legal and

910
00:46:17,000 --> 00:46:21,560
Speaker 1: decriminalized in Ohio, whether it's for medicine or for recreation.

911
00:46:21,760 --> 00:46:24,120
Speaker 1: In more and more states like Kentucky with the medicinal

912
00:46:24,160 --> 00:46:28,200
Speaker 1: and so on, it's growing the communities across the country.

913
00:46:28,320 --> 00:46:31,800
Speaker 1: State by state, they're falling like Domino's more reasonable rational

914
00:46:32,880 --> 00:46:37,359
Speaker 1: idea of people being responsible adults handling their business and

915
00:46:37,480 --> 00:46:41,040
Speaker 1: until you act otherwise. Where you are causing a problem

916
00:46:42,040 --> 00:46:47,920
Speaker 1: driving intoxicated, whether it's from bourbon or beer or you know,

917
00:46:48,040 --> 00:46:50,560
Speaker 1: a weed for that matter, it's no difference if you

918
00:46:50,640 --> 00:46:54,040
Speaker 1: pick up a gun and you're drunk. There's a problem,

919
00:46:54,600 --> 00:46:56,600
Speaker 1: and a lot of the stuff that you hear about

920
00:46:56,640 --> 00:46:59,800
Speaker 1: in the news with people grabbing a gun and involving

921
00:46:59,800 --> 00:47:03,600
Speaker 1: them selves and some type of gun play and engaging

922
00:47:03,640 --> 00:47:07,560
Speaker 1: in violent behavior with the firearm. They're often drunk or

923
00:47:07,680 --> 00:47:10,839
Speaker 1: high or something like that. It doesn't mean that being

924
00:47:10,920 --> 00:47:13,759
Speaker 1: drunk or high causes the behavior. It just means that

925
00:47:13,800 --> 00:47:16,640
Speaker 1: some people don't the same way they get behind the

926
00:47:16,640 --> 00:47:19,200
Speaker 1: wheel of a car, the same way they do other

927
00:47:19,239 --> 00:47:22,560
Speaker 1: things irresponsibly. But you know, we are at place that

928
00:47:22,800 --> 00:47:29,200
Speaker 1: until you do something dumb and irresponsible, generally you're free

929
00:47:29,280 --> 00:47:32,120
Speaker 1: to roam about the sandbox of life and go about

930
00:47:32,120 --> 00:47:35,080
Speaker 1: your business. Are and I'll open up the phone and

931
00:47:35,120 --> 00:47:37,319
Speaker 1: give you a chance to sound off as we get

932
00:47:37,320 --> 00:47:40,600
Speaker 1: closer to news here. I'm curious, are you of the

933
00:47:40,680 --> 00:47:45,680
Speaker 1: opinion that individuals who go to the dispensary and get weed,

934
00:47:46,120 --> 00:47:49,480
Speaker 1: whether it's for recreation or for medicinal purposes, because they've

935
00:47:49,480 --> 00:47:51,840
Speaker 1: got some type of pain or whatever other reason, the

936
00:47:51,880 --> 00:47:54,000
Speaker 1: doctor has given them the okay to go get the

937
00:47:54,000 --> 00:47:56,160
Speaker 1: weed product of some sort, whether it's a you know,

938
00:47:56,400 --> 00:47:59,520
Speaker 1: a gummy or an edible of some sort, or something

939
00:47:59,560 --> 00:48:03,200
Speaker 1: to smoke with whatever. Is there any difference between the

940
00:48:03,239 --> 00:48:07,799
Speaker 1: weed and alcohol when it comes to handling your business responsibly.

941
00:48:08,080 --> 00:48:10,760
Speaker 1: And what I mean by that is if somebody drinks,

942
00:48:10,880 --> 00:48:15,120
Speaker 1: do you immediately say you shouldn't have a gun? I

943
00:48:15,120 --> 00:48:18,280
Speaker 1: don't mean I'm not talking about a habitual alcoholic drunk

944
00:48:18,360 --> 00:48:21,080
Speaker 1: driving you, you know, making bad choices all the time

945
00:48:21,680 --> 00:48:23,080
Speaker 1: and not handling their business.

946
00:48:23,520 --> 00:48:25,120
Speaker 2: But just everyday people.

947
00:48:25,520 --> 00:48:28,920
Speaker 1: I think most reasonable, rational people can simply look at

948
00:48:28,960 --> 00:48:33,000
Speaker 1: things and go, Okay, it's legal to drink, and as

949
00:48:33,000 --> 00:48:37,000
Speaker 1: long as you don't do dumb things while drinking and drunk,

950
00:48:37,440 --> 00:48:41,200
Speaker 1: then you're fine, in other words, to be responsible. What's

951
00:48:41,239 --> 00:48:43,240
Speaker 1: the difference between that in the weed and the argument

952
00:48:43,280 --> 00:48:45,960
Speaker 1: that the Supreme Court and the questions that the Supreme

953
00:48:46,040 --> 00:48:48,479
Speaker 1: Court asked of those arguing that case the other day

954
00:48:48,719 --> 00:48:51,000
Speaker 1: would lead me to believe that they're looking at weed

955
00:48:51,080 --> 00:48:54,600
Speaker 1: no differently than alcohol. But there are many people, and

956
00:48:54,880 --> 00:48:56,480
Speaker 1: I got some people close to me who are of

957
00:48:56,520 --> 00:48:57,200
Speaker 1: a different view.

958
00:48:57,360 --> 00:48:57,920
Speaker 2: We'll give you a.

959
00:48:57,880 --> 00:48:59,520
Speaker 1: Chance to sound up on that and a whole lot

960
00:48:59,560 --> 00:49:02,600
Speaker 1: more commonversation coming up on a Friday night. Your ten

961
00:49:02,680 --> 00:49:06,120
Speaker 1: third report sooner than later as well, with a second

962
00:49:06,120 --> 00:49:08,520
Speaker 1: half now underway. By the way, it's a six point

963
00:49:08,600 --> 00:49:13,120
Speaker 1: leave for Miami leading OU right now in Athens over

964
00:49:13,160 --> 00:49:16,960
Speaker 1: the Bobcats red Hawks sixty one and I think it's

965
00:49:16,960 --> 00:49:20,160
Speaker 1: a fifty five for OU News straight away.

966
00:49:20,320 --> 00:49:22,960
Speaker 2: More Sterling right here, seven hundred WLW.

967
00:49:23,320 --> 00:49:26,719
Speaker 1: You got a United States in Brazil getting on a

968
00:49:27,200 --> 00:49:28,759
Speaker 1: World Baseball Classic right now.

969
00:49:28,960 --> 00:49:31,440
Speaker 2: I think they're in Houston, aren't they? If I'm not mistaken.

970
00:49:31,920 --> 00:49:33,960
Speaker 1: What used to be Enron Field, which I think they

971
00:49:34,000 --> 00:49:38,839
Speaker 1: still call Minute May Park. Nobody, Oh, oh, somebody else

972
00:49:38,880 --> 00:49:41,160
Speaker 1: bought the rights. I don't know. Since they didn't pay me,

973
00:49:41,200 --> 00:49:43,000
Speaker 1: I'm not really all that concerned about it. It is

974
00:49:43,040 --> 00:49:45,080
Speaker 1: a great ballpark. If you ever get a chance to

975
00:49:45,080 --> 00:49:47,239
Speaker 1: go to Houston to see the Reds on a road trip,

976
00:49:47,280 --> 00:49:51,960
Speaker 1: I highly recommended. Incredible ballpark, great city. Aaron Judge up

977
00:49:51,960 --> 00:49:54,040
Speaker 1: to bat now one for four, the two run home

978
00:49:54,120 --> 00:49:57,920
Speaker 1: run earlier, seven to four, USA leading Brazil, And there

979
00:49:57,960 --> 00:50:00,239
Speaker 1: was a home run off of Walka just a in

980
00:50:00,280 --> 00:50:02,160
Speaker 1: the other half of the inning, and I was talking

981
00:50:02,160 --> 00:50:04,200
Speaker 1: to Russ off the air. I said, normally I don't

982
00:50:04,239 --> 00:50:07,000
Speaker 1: really like get excited about a competitive team, like hitting

983
00:50:07,040 --> 00:50:09,279
Speaker 1: a home run off a team I'm rooting for. But

984
00:50:09,360 --> 00:50:13,880
Speaker 1: they hand the crowd in the stadium and there were

985
00:50:13,920 --> 00:50:18,400
Speaker 1: these people supporting Brazil and Brazilian women just dancing around,

986
00:50:18,400 --> 00:50:22,239
Speaker 1: and I'm alright with that. I just you know what

987
00:50:22,239 --> 00:50:24,160
Speaker 1: I mean, it's wrong to say that. I don't mean

988
00:50:24,200 --> 00:50:26,160
Speaker 1: to sound lecherous. I don't mean to sound dirty. I

989
00:50:26,160 --> 00:50:28,400
Speaker 1: don't mean to sound wrong. But if that's wrong, I

990
00:50:28,440 --> 00:50:33,160
Speaker 1: don't necessarily want to be right. Reds can win, USA

991
00:50:33,280 --> 00:50:37,000
Speaker 1: can win. Brazilian's happy about a home run. I'm fine

992
00:50:37,000 --> 00:50:40,880
Speaker 1: to watch the celebration. I hope that's okay. I updated

993
00:50:41,080 --> 00:50:44,080
Speaker 1: sooner than later about the two injured after a shooting

994
00:50:44,239 --> 00:50:48,600
Speaker 1: in Mainville Kroger there apparently closing for the rest of

995
00:50:48,640 --> 00:50:52,760
Speaker 1: the night. They are Hamlet and Township police given updates

996
00:50:52,800 --> 00:50:56,080
Speaker 1: on that. That's there on forty eight in Mainfield, right

997
00:50:56,160 --> 00:50:59,399
Speaker 1: near where my buddies mom used to live in that area.

998
00:50:59,440 --> 00:51:01,279
Speaker 1: I think I've actually been to that Kroger now that

999
00:51:01,320 --> 00:51:05,360
Speaker 1: I think about it, so hopefully it's not too serious.

1000
00:51:05,400 --> 00:51:08,400
Speaker 1: They say both people have minor injuries from the police

1001
00:51:08,640 --> 00:51:11,560
Speaker 1: report that they've shared so far, in stable condition and

1002
00:51:11,840 --> 00:51:14,000
Speaker 1: at the hospital or at least for the time being

1003
00:51:14,080 --> 00:51:17,000
Speaker 1: last report that I have seen, so hopefully they're okay

1004
00:51:17,040 --> 00:51:18,160
Speaker 1: and we'll figure out exactly what.

1005
00:51:18,120 --> 00:51:19,040
Speaker 2: The deal is with that.

1006
00:51:20,200 --> 00:51:23,160
Speaker 1: I want to mention something else, and I teased it

1007
00:51:23,239 --> 00:51:29,560
Speaker 1: going in to the news, and I am somewhat taken

1008
00:51:30,280 --> 00:51:30,920
Speaker 1: a back by it.

1009
00:51:32,239 --> 00:51:37,399
Speaker 2: Here's my question to you. If you drink, you like beer.

1010
00:51:37,440 --> 00:51:39,439
Speaker 1: A lot of people go to the ballpark, they like beer, right,

1011
00:51:39,520 --> 00:51:41,399
Speaker 1: A lot of people in the backyard patio. I mean

1012
00:51:41,480 --> 00:51:45,000
Speaker 1: it sort of felt like summer ish, certainly baseball season

1013
00:51:45,239 --> 00:51:46,880
Speaker 1: ish here in the Tri State.

1014
00:51:47,120 --> 00:51:47,880
Speaker 2: Out of the patio.

1015
00:51:47,960 --> 00:51:51,319
Speaker 1: Maybe have a couple of cold drinks, some cocktails or

1016
00:51:51,360 --> 00:51:55,440
Speaker 1: whatever else tonight. Should you be allowed, as it stands

1017
00:51:55,520 --> 00:51:58,319
Speaker 1: right now, to have alcohol and still be able to

1018
00:51:58,400 --> 00:52:02,320
Speaker 1: have the right to have, you know, guns, Should you

1019
00:52:02,440 --> 00:52:05,759
Speaker 1: be able to bear arms, have the right to own firearms?

1020
00:52:05,800 --> 00:52:08,160
Speaker 1: If you drink, I don't mean if you're drunk and

1021
00:52:08,280 --> 00:52:13,200
Speaker 1: shooting the weapon irresponsibly. That's a question because if in fact,

1022
00:52:13,239 --> 00:52:15,359
Speaker 1: the argument in front of the Supreme Court this week

1023
00:52:15,440 --> 00:52:18,040
Speaker 1: goes the direction of some who say that they believe

1024
00:52:18,080 --> 00:52:21,680
Speaker 1: if you use cannabis, if you use marijuana products, you

1025
00:52:21,719 --> 00:52:25,320
Speaker 1: should not be allowed to have or use a firearm.

1026
00:52:26,680 --> 00:52:28,560
Speaker 1: And no one's talking about doing it while you're high

1027
00:52:28,840 --> 00:52:30,680
Speaker 1: or while you're drinking. A lot of people have mood

1028
00:52:30,719 --> 00:52:35,759
Speaker 1: altering drugs, you know, from depression, for bipolar stuff, you

1029
00:52:35,840 --> 00:52:37,520
Speaker 1: name it. A lot of people, a lot of different

1030
00:52:37,520 --> 00:52:41,440
Speaker 1: types of medications and so on. And the argument that

1031
00:52:41,480 --> 00:52:44,279
Speaker 1: they had in front of the Supreme Court is trying

1032
00:52:44,360 --> 00:52:47,240
Speaker 1: to maintain, even where weed is legal, like in Ohio

1033
00:52:47,280 --> 00:52:52,799
Speaker 1: for recreation and also for medicinal purposes, to say that

1034
00:52:53,239 --> 00:52:56,080
Speaker 1: if in fact you go to the dispensary use weed

1035
00:52:56,160 --> 00:53:00,480
Speaker 1: responsibly or some product associated with cannabis, or whether you

1036
00:53:00,520 --> 00:53:02,200
Speaker 1: do it because you have a prescription, because you've got

1037
00:53:02,200 --> 00:53:06,960
Speaker 1: clock homa or something else along those ideas lignes that

1038
00:53:07,040 --> 00:53:10,759
Speaker 1: you should now somehow not be allowed to have the

1039
00:53:10,840 --> 00:53:13,640
Speaker 1: right to bear arms like everyone else. And I simply

1040
00:53:13,680 --> 00:53:16,680
Speaker 1: ask you this, until you do something wrong that shows

1041
00:53:16,719 --> 00:53:19,520
Speaker 1: your ear responsible, until you have a history of past

1042
00:53:19,560 --> 00:53:24,360
Speaker 1: practices of being not capable of handling your business like

1043
00:53:24,480 --> 00:53:27,359
Speaker 1: a responsible adult, then they need to stay the hell

1044
00:53:27,400 --> 00:53:29,000
Speaker 1: out of your rights and my rights.

1045
00:53:29,239 --> 00:53:30,040
Speaker 2: Do you not agree?

1046
00:53:30,120 --> 00:53:32,960
Speaker 1: Five one, three, seven, four, nine, seven, eight hundred The

1047
00:53:32,960 --> 00:53:36,640
Speaker 1: big one sounded like the justices and Cony Barrett as

1048
00:53:36,680 --> 00:53:40,120
Speaker 1: others asking questions as that was being argued. It didn't

1049
00:53:40,160 --> 00:53:42,319
Speaker 1: seem like the attorney had much of a comeback for

1050
00:53:42,360 --> 00:53:43,880
Speaker 1: a lot of a question, so we'll see how it

1051
00:53:43,880 --> 00:53:45,719
Speaker 1: plays out a couple months down the line. I'm just

1052
00:53:45,840 --> 00:53:47,840
Speaker 1: curious where your head is on this because I know

1053
00:53:47,880 --> 00:53:49,839
Speaker 1: a lot of people are somewhat conflicted. They go, well,

1054
00:53:49,840 --> 00:53:51,640
Speaker 1: I don't like them smoking the weed and getting, you know,

1055
00:53:51,640 --> 00:53:54,360
Speaker 1: getting their guns out. Well, you shouldn't be drinking and

1056
00:53:54,400 --> 00:53:56,600
Speaker 1: getting your guns out either. It's a matter of being

1057
00:53:56,680 --> 00:53:59,760
Speaker 1: responsible and it's a legal product, and if you handle

1058
00:53:59,760 --> 00:54:02,600
Speaker 1: your self responsibly, it should be no different until you

1059
00:54:02,800 --> 00:54:06,480
Speaker 1: act inappropriately five point three seven four nine seven thousand,

1060
00:54:06,560 --> 00:54:09,080
Speaker 1: eight hundred the Big One. Your chance to get interactive

1061
00:54:09,560 --> 00:54:12,120
Speaker 1: on that as well at Sterling Radio. If you're on

1062
00:54:12,640 --> 00:54:16,040
Speaker 1: x what used to be called Twitter, you can certainly

1063
00:54:16,080 --> 00:54:18,640
Speaker 1: sound off that way as well. It just seems like

1064
00:54:18,760 --> 00:54:23,040
Speaker 1: a very basic thing where individuals should be able to

1065
00:54:23,080 --> 00:54:27,200
Speaker 1: be responsible handle their business and until you do something wrong,

1066
00:54:27,280 --> 00:54:29,440
Speaker 1: I don't know why people want to get into your business.

1067
00:54:29,560 --> 00:54:31,560
Speaker 1: I want the less government in your life. I want

1068
00:54:31,640 --> 00:54:35,799
Speaker 1: less government in my life. It's just bewildering how when

1069
00:54:35,800 --> 00:54:38,799
Speaker 1: it's convenient and it's something that someone personally doesn't like,

1070
00:54:38,920 --> 00:54:41,399
Speaker 1: they think you, if you do, should not be able

1071
00:54:41,440 --> 00:54:42,680
Speaker 1: to do what it is that you want.

1072
00:54:43,080 --> 00:54:43,720
Speaker 2: It's an odd.

1073
00:54:44,040 --> 00:54:45,440
Speaker 1: I don't even know what to call it, if it's a

1074
00:54:45,520 --> 00:54:48,839
Speaker 1: nanny state kind of thing or what, but it's it's

1075
00:54:49,080 --> 00:54:53,400
Speaker 1: very weird, and it's a multitude of different things that

1076
00:54:53,480 --> 00:54:55,960
Speaker 1: come up in that way. But it's very hypocritical. I

1077
00:54:55,960 --> 00:54:58,799
Speaker 1: think they're like, oh, no, you can drink, but you

1078
00:54:58,840 --> 00:55:02,400
Speaker 1: can't smoke, or or whatever else it is, and it

1079
00:55:02,520 --> 00:55:07,719
Speaker 1: just makes no sense. So hopefully some reasonable, rational, thoughtful

1080
00:55:08,000 --> 00:55:12,680
Speaker 1: decision making, and when that response is handled down for

1081
00:55:12,760 --> 00:55:17,840
Speaker 1: the Supreme Court, hopefully they won't do something stupid. For

1082
00:55:17,880 --> 00:55:20,319
Speaker 1: one of a better way to describe it, your chance

1083
00:55:20,320 --> 00:55:23,200
Speaker 1: to get interactive now five point three seven nine, eight

1084
00:55:23,280 --> 00:55:25,320
Speaker 1: hundred the Big One to Hamilton and Mark then Larry

1085
00:55:25,320 --> 00:55:27,680
Speaker 1: in room for you on a Friday night, Sterling, Mark,

1086
00:55:27,719 --> 00:55:28,239
Speaker 1: what's going on?

1087
00:55:28,280 --> 00:55:29,680
Speaker 2: Appreciate you being on the Big One.

1088
00:55:30,520 --> 00:55:31,520
Speaker 8: Oh, not too much.

1089
00:55:31,560 --> 00:55:32,160
Speaker 4: How you doing?

1090
00:55:32,880 --> 00:55:34,719
Speaker 1: I think I'm all right, man, just hanging out and

1091
00:55:34,840 --> 00:55:38,200
Speaker 1: joining watching this on Miami game seventy six sixty seven

1092
00:55:38,280 --> 00:55:40,200
Speaker 1: over the Bobcats right now with about ten and a

1093
00:55:40,239 --> 00:55:43,160
Speaker 1: half minutes left in the second half and waiting for

1094
00:55:43,200 --> 00:55:46,359
Speaker 1: Red's baseball. It feels like baseball weather now. I feel good.

1095
00:55:46,360 --> 00:55:46,759
Speaker 1: How are you?

1096
00:55:47,400 --> 00:55:47,880
Speaker 9: Excellent?

1097
00:55:48,040 --> 00:55:48,480
Speaker 10: Excellent?

1098
00:55:48,560 --> 00:55:49,399
Speaker 8: Same way here.

1099
00:55:49,560 --> 00:55:49,799
Speaker 2: Good.

1100
00:55:49,960 --> 00:55:53,160
Speaker 8: So what's the bottom line is we have the Second

1101
00:55:53,160 --> 00:55:57,440
Speaker 8: Amendment and that's for that's its sense to have the

1102
00:55:57,520 --> 00:56:01,399
Speaker 8: right to bear arms against born or mastic enemies. Yeah,

1103
00:56:01,600 --> 00:56:04,320
Speaker 8: whether it be our own government or anybody, that's correct.

1104
00:56:04,320 --> 00:56:05,959
Speaker 8: And that's the way I feel about. I'm a vetter

1105
00:56:06,040 --> 00:56:07,160
Speaker 8: in the United States Navy.

1106
00:56:07,520 --> 00:56:08,319
Speaker 3: I appreciate your.

1107
00:56:11,000 --> 00:56:13,640
Speaker 8: The problem is, it's like anything now, it's you how

1108
00:56:13,680 --> 00:56:17,080
Speaker 8: to be a responsible citizen. There's too many idiots out there.

1109
00:56:17,120 --> 00:56:20,480
Speaker 8: Over half America's idiots, and we got to take care

1110
00:56:20,520 --> 00:56:22,000
Speaker 8: of business.

1111
00:56:23,160 --> 00:56:25,040
Speaker 1: Yeah, well, wait a minute, Mark, don't go anywhere yet.

1112
00:56:25,080 --> 00:56:27,680
Speaker 1: I'm kind of curious, do you who decides who's an

1113
00:56:27,719 --> 00:56:30,440
Speaker 1: idiot and who should lose their rights because of their

1114
00:56:30,440 --> 00:56:31,480
Speaker 1: idiotic behavior.

1115
00:56:31,920 --> 00:56:33,560
Speaker 2: That seems like a hygh percentage of.

1116
00:56:33,520 --> 00:56:36,920
Speaker 8: Idiots going, idiots felling through, Idiots because they got busted

1117
00:56:36,920 --> 00:56:38,120
Speaker 8: for doing something stupid.

1118
00:56:38,440 --> 00:56:41,560
Speaker 1: Well, if they if they were rightfully convicted. But sometimes,

1119
00:56:41,880 --> 00:56:44,680
Speaker 1: you know, the law could be wrong sometimes situations.

1120
00:56:44,800 --> 00:56:47,520
Speaker 8: Actually that's right too, that's also correct.

1121
00:56:47,800 --> 00:56:51,399
Speaker 1: Yeah, it's difficult, but yeah, I don't necessarily just hear.

1122
00:56:51,440 --> 00:56:54,040
Speaker 1: The problem is, Mark that as we speak, somebody's driving

1123
00:56:54,040 --> 00:56:56,279
Speaker 1: down seventy four going you know, that's Stirling and Mark.

1124
00:56:56,320 --> 00:56:58,440
Speaker 1: They sound like idiots and we are on the other half,

1125
00:56:58,920 --> 00:56:59,680
Speaker 1: and then what do you do?

1126
00:57:00,160 --> 00:57:02,799
Speaker 8: Right, that's right, Well, that's the whole problem. They're the

1127
00:57:02,800 --> 00:57:04,520
Speaker 8: ones that hit said on the other side.

1128
00:57:04,560 --> 00:57:06,160
Speaker 4: Because if you can't.

1129
00:57:05,880 --> 00:57:09,759
Speaker 8: Be responsible human beings is in the United States of America,

1130
00:57:10,239 --> 00:57:11,680
Speaker 8: then I don't know what the problem is.

1131
00:57:11,840 --> 00:57:13,719
Speaker 1: Well I don't either, and I think that's just a

1132
00:57:13,800 --> 00:57:17,120
Speaker 1: human thing across the board, just in general, to be responsible,

1133
00:57:17,160 --> 00:57:18,880
Speaker 1: hand of your business and kind to your neighbor.

1134
00:57:18,880 --> 00:57:20,000
Speaker 2: Mark, I appreciate the calling in.

1135
00:57:20,080 --> 00:57:23,120
Speaker 1: You're listening to Larry now with Sterling on the big one, Larry,

1136
00:57:23,160 --> 00:57:23,840
Speaker 1: what's going on?

1137
00:57:24,760 --> 00:57:29,200
Speaker 9: No real fast? Well, on the guns in marijuana, I mean, it.

1138
00:57:29,280 --> 00:57:34,000
Speaker 11: Doesn't state in the constitution that you can't.

1139
00:57:33,760 --> 00:57:35,320
Speaker 10: On the arm if you smoke pot.

1140
00:57:35,400 --> 00:57:37,520
Speaker 11: I mean that's so you can't just splinter a law

1141
00:57:37,680 --> 00:57:40,960
Speaker 11: from that's that's if you got somebody who.

1142
00:57:40,800 --> 00:57:42,600
Speaker 3: Want to charge your takeaway, you're gone.

1143
00:57:42,640 --> 00:57:46,560
Speaker 11: You could certainly argued on that basis that the person

1144
00:57:46,640 --> 00:57:48,640
Speaker 11: then it says I had the right to bear arms.

1145
00:57:48,640 --> 00:57:51,800
Speaker 11: It doesn't specify anything in that and that's period. But

1146
00:57:53,000 --> 00:57:55,480
Speaker 11: also a shout out to any of the students out

1147
00:57:55,520 --> 00:57:58,880
Speaker 11: there that's taking any film classes to do yourself or

1148
00:57:58,960 --> 00:57:59,960
Speaker 11: acting or directing.

1149
00:58:00,080 --> 00:58:03,480
Speaker 9: Do yourself a favor and listen to watch Harvey.

1150
00:58:04,880 --> 00:58:07,120
Speaker 2: Listen to what. I'm sorry, I.

1151
00:58:07,200 --> 00:58:11,800
Speaker 11: Watched the movie Harvey, Oh, Harvey the Rabbit and Jimmy Stewart.

1152
00:58:11,840 --> 00:58:12,800
Speaker 2: Yeah, with Jimmy Stewart.

1153
00:58:13,080 --> 00:58:15,120
Speaker 10: Brilliant, brilliant, brilliant movie.

1154
00:58:15,200 --> 00:58:15,680
Speaker 3: Great movie.

1155
00:58:15,720 --> 00:58:17,320
Speaker 11: I'm sure we ben are very on that it's a

1156
00:58:17,360 --> 00:58:17,960
Speaker 11: great movie.

1157
00:58:18,120 --> 00:58:20,760
Speaker 2: So do you know another movie in modern times?

1158
00:58:20,800 --> 00:58:22,840
Speaker 1: Not to say that that wasn't a modern times picture,

1159
00:58:22,840 --> 00:58:24,920
Speaker 1: but it is a great movie about the rabbit. Nobody

1160
00:58:24,920 --> 00:58:29,480
Speaker 1: else saw Donnie Darko. This is another movie with a

1161
00:58:29,560 --> 00:58:30,200
Speaker 1: rabbit in there.

1162
00:58:30,560 --> 00:58:31,120
Speaker 2: Have you seen that?

1163
00:58:31,240 --> 00:58:35,120
Speaker 11: I've never seen it. Originally, I just wanted to make

1164
00:58:35,120 --> 00:58:38,919
Speaker 11: a comment Cincinnati, Cincinnati went out of his way and

1165
00:58:39,000 --> 00:58:41,120
Speaker 11: to make a statement. How anti is say?

1166
00:58:41,240 --> 00:58:42,360
Speaker 3: Are wouldn't it.

1167
00:58:42,280 --> 00:58:45,040
Speaker 11: Be nice Trump's coming here? As matter of fact, Monday

1168
00:58:45,040 --> 00:58:49,640
Speaker 11: I heard would may be surprised if the federal government

1169
00:58:49,840 --> 00:58:51,760
Speaker 11: just told them they'll go jone Bridge?

1170
00:58:51,800 --> 00:58:55,439
Speaker 2: Then well, I think those moneys have already been set

1171
00:58:55,480 --> 00:58:57,640
Speaker 2: aside in budgeting in a.

1172
00:58:57,640 --> 00:59:00,680
Speaker 11: Way, just like the builder of the hotel, Why don't

1173
00:59:00,720 --> 00:59:02,800
Speaker 11: they just come along, you know, the conventional way.

1174
00:59:02,840 --> 00:59:04,400
Speaker 1: Why are you wanting to put a wait a minute,

1175
00:59:04,400 --> 00:59:06,440
Speaker 1: why are you trying to crap on the economy in

1176
00:59:06,480 --> 00:59:08,680
Speaker 1: a bridge that should have been built thirty years ago.

1177
00:59:09,280 --> 00:59:14,080
Speaker 11: Because they made a statement of that such of substance

1178
00:59:14,120 --> 00:59:17,000
Speaker 11: about how they're anti ICE and anti ICE and this

1179
00:59:17,080 --> 00:59:20,640
Speaker 11: and that, or at least criminals without notifying ICE. They

1180
00:59:20,720 --> 00:59:22,800
Speaker 11: went through their trouble of doing that, So let's go

1181
00:59:22,840 --> 00:59:24,600
Speaker 11: through the trouble or taking their bridge away.

1182
00:59:24,640 --> 00:59:27,800
Speaker 2: I don't go well, day, did you see you wouldn't appear.

1183
00:59:28,280 --> 00:59:30,680
Speaker 1: I understand, and it's clear that you don't, and Larry,

1184
00:59:30,680 --> 00:59:32,400
Speaker 1: I appreciate the call, but I don't think that you

1185
00:59:32,440 --> 00:59:35,120
Speaker 1: can punish the rest of the tri State and one

1186
00:59:35,160 --> 00:59:38,880
Speaker 1: of the busiest interstate highways in the nation North South

1187
00:59:39,000 --> 00:59:43,360
Speaker 1: seventy five seventy one going across the Ohio River. It's

1188
00:59:43,440 --> 00:59:46,000
Speaker 1: just a dumb ass of an idea as somehow trying

1189
00:59:46,040 --> 00:59:49,280
Speaker 1: to threaten the bridge built by Canada, that somehow you're

1190
00:59:49,280 --> 00:59:51,600
Speaker 1: not going to open the bridge or whatever else. I mean,

1191
00:59:51,640 --> 00:59:55,520
Speaker 1: come on, seriously, and the reality is that if you've

1192
00:59:55,560 --> 00:59:59,200
Speaker 1: got violent criminals, people who have been busted doing criminal behavior,

1193
00:59:59,280 --> 01:00:03,320
Speaker 1: there is no reason any reasonable rational person should say

1194
01:00:03,560 --> 01:00:06,520
Speaker 1: if you're here illegally and you've done criminal stuff beyond that,

1195
01:00:06,600 --> 01:00:09,520
Speaker 1: and you're locked up and you've been charged, and once

1196
01:00:09,560 --> 01:00:12,920
Speaker 1: that process moves through and they're convicted, then they can

1197
01:00:12,960 --> 01:00:16,320
Speaker 1: be booted and move along through that plant. It seems

1198
01:00:16,360 --> 01:00:20,560
Speaker 1: to me that one of the problems we've seen, aside

1199
01:00:20,560 --> 01:00:23,560
Speaker 1: from what was a disaster in the Twin Cities area

1200
01:00:23,600 --> 01:00:26,680
Speaker 1: and the way ICE has handled their business there. And

1201
01:00:26,840 --> 01:00:29,280
Speaker 1: they've said as much that it was effectively an abortion

1202
01:00:29,600 --> 01:00:32,320
Speaker 1: but it's exactly what they wanted as a show, but

1203
01:00:32,960 --> 01:00:36,480
Speaker 1: really poor planning in the way that it was operated

1204
01:00:36,880 --> 01:00:39,440
Speaker 1: as far as working for the people of the United States.

1205
01:00:40,000 --> 01:00:40,960
Speaker 2: I mean, it just is.

1206
01:00:41,400 --> 01:00:44,160
Speaker 1: But you know, in the big scheme of things, you know,

1207
01:00:45,720 --> 01:00:49,080
Speaker 1: if you're in a situation where you're trying to look

1208
01:00:49,080 --> 01:00:52,640
Speaker 1: out for the betterment of the community, then yeah, you

1209
01:00:52,800 --> 01:00:55,440
Speaker 1: have to to say, Okay, these people are in trouble,

1210
01:00:55,480 --> 01:00:59,840
Speaker 1: they've done criminal behaviors, Okay, they're locked up, they've been charged.

1211
01:01:00,120 --> 01:01:02,520
Speaker 1: Then yeah, you notify ICE they're here illegally and they've

1212
01:01:02,520 --> 01:01:05,000
Speaker 1: broken the law, and then you can go through that process.

1213
01:01:05,400 --> 01:01:08,480
Speaker 1: But just running, you know, willie Nilly, turning through neighborhoods

1214
01:01:08,520 --> 01:01:11,200
Speaker 1: and grabbing people who happen to look or sound like

1215
01:01:11,240 --> 01:01:13,760
Speaker 1: they might not be here illegally, which for a nation

1216
01:01:13,920 --> 01:01:17,760
Speaker 1: that is made up of people from everywhere else, it's

1217
01:01:17,840 --> 01:01:20,680
Speaker 1: pretty stupid. And generally, you know, what, what does it

1218
01:01:20,720 --> 01:01:24,240
Speaker 1: take a generation to two, depending for people who fall

1219
01:01:24,280 --> 01:01:27,360
Speaker 1: off the boat or come across the border one way

1220
01:01:27,480 --> 01:01:31,840
Speaker 1: or another and to decide to call America home. That

1221
01:01:32,560 --> 01:01:35,080
Speaker 1: first generation, depending on their age and where they come from,

1222
01:01:35,120 --> 01:01:38,080
Speaker 1: they may not really have a firm grasp of English

1223
01:01:38,360 --> 01:01:42,000
Speaker 1: and how we live here societally, but that next generation

1224
01:01:42,120 --> 01:01:45,200
Speaker 1: tends to, and then that third generation certainly does. And

1225
01:01:45,240 --> 01:01:48,040
Speaker 1: that's the way it has always worked, and it will

1226
01:01:48,040 --> 01:01:49,479
Speaker 1: probably continue to be that way.

1227
01:01:49,600 --> 01:01:50,360
Speaker 2: What's amazing.

1228
01:01:50,560 --> 01:01:52,360
Speaker 1: And I've been fortunate enough to where I've been able

1229
01:01:52,360 --> 01:01:54,240
Speaker 1: to go to a number of different places out of

1230
01:01:54,240 --> 01:01:58,600
Speaker 1: the country, and probably to you know, the disgust of

1231
01:01:58,640 --> 01:02:00,760
Speaker 1: some others, I may have been the ugly American from

1232
01:02:00,800 --> 01:02:02,520
Speaker 1: time to time, even though I've tried not to be.

1233
01:02:03,280 --> 01:02:08,280
Speaker 1: And the truth is, everywhere I've gone. Initially traveling out

1234
01:02:08,280 --> 01:02:09,880
Speaker 1: of the country, I made a point to try to

1235
01:02:09,880 --> 01:02:13,000
Speaker 1: go to places where English was pretty common there and

1236
01:02:13,040 --> 01:02:16,480
Speaker 1: maybe like to the UK first and so on. And

1237
01:02:16,520 --> 01:02:18,200
Speaker 1: then as I got a little braver and they're like, Okay,

1238
01:02:18,200 --> 01:02:19,640
Speaker 1: well I'm gonna go to France, or I'm gonna go

1239
01:02:19,640 --> 01:02:22,120
Speaker 1: to like, you know, in the Netherlands in Amsterdam, and

1240
01:02:22,200 --> 01:02:25,120
Speaker 1: I'm gonna go to Mexico and everybody else around the

1241
01:02:25,160 --> 01:02:27,480
Speaker 1: world pretty much not everybody, but a whole lot of

1242
01:02:27,520 --> 01:02:30,640
Speaker 1: people know English. It's sort of like the universal language.

1243
01:02:31,720 --> 01:02:34,800
Speaker 1: So in time they come here and they learn it.

1244
01:02:34,840 --> 01:02:36,880
Speaker 1: But you can't just point fingers at somebody because they

1245
01:02:36,880 --> 01:02:39,120
Speaker 1: sound different or look different and say, oh, you're you know,

1246
01:02:39,160 --> 01:02:42,240
Speaker 1: you got to go. And that's the problem that I

1247
01:02:42,240 --> 01:02:44,200
Speaker 1: think a lot of people have is that that's the

1248
01:02:44,240 --> 01:02:47,080
Speaker 1: way that was being handled. Hopefully the new guy in

1249
01:02:47,200 --> 01:02:50,640
Speaker 1: charge and Holman obviously, who come out a history of

1250
01:02:50,920 --> 01:02:54,000
Speaker 1: dealing with border issues and so forth, and maybe even

1251
01:02:54,000 --> 01:02:56,160
Speaker 1: they turned the page back and look at exactly how

1252
01:02:56,160 --> 01:02:58,920
Speaker 1: they got out and I misspoke about this, and I'm

1253
01:02:58,960 --> 01:03:01,520
Speaker 1: glad this came up. Larious, thank you for bringing it up.

1254
01:03:02,720 --> 01:03:06,200
Speaker 1: About two weeks ago, I was talking about the disaster

1255
01:03:06,280 --> 01:03:09,240
Speaker 1: that was the Twin Cities enforcement issue and all the

1256
01:03:09,320 --> 01:03:11,280
Speaker 1: ugliness there and the way it was going on, and

1257
01:03:11,320 --> 01:03:13,280
Speaker 1: they were talking about everybody, well, let's get the illegals

1258
01:03:13,280 --> 01:03:16,640
Speaker 1: out let's get the illegals out, and the numbers are

1259
01:03:16,760 --> 01:03:21,120
Speaker 1: bewildering and lacking in some credibility when they say how

1260
01:03:21,120 --> 01:03:24,560
Speaker 1: many are here criminally doing criminal stuff aside from just

1261
01:03:24,560 --> 01:03:27,720
Speaker 1: being here illegally, which there is some difference. But if

1262
01:03:27,760 --> 01:03:30,720
Speaker 1: you're here illegally, that's well, it's in the name, you're

1263
01:03:30,720 --> 01:03:36,480
Speaker 1: illegally here, right. But that being said, it's just troubling

1264
01:03:37,280 --> 01:03:41,760
Speaker 1: that you're in a situation where you're just randomly going

1265
01:03:41,800 --> 01:03:46,320
Speaker 1: after people. Otherwise in an administration or two ago, going

1266
01:03:46,360 --> 01:03:50,560
Speaker 1: back to arguably Biden, but certainly before that. Trump's first

1267
01:03:50,640 --> 01:03:54,000
Speaker 1: term less so, but the two before that with Obama

1268
01:03:54,480 --> 01:03:56,640
Speaker 1: and then even Clinton before that, they got out close

1269
01:03:56,680 --> 01:03:58,720
Speaker 1: to four million people. I think it was three point

1270
01:03:58,840 --> 01:04:02,480
Speaker 1: two or three point four million people, and there was

1271
01:04:02,560 --> 01:04:06,800
Speaker 1: not the type of weird, over the top activities that

1272
01:04:06,840 --> 01:04:09,920
Speaker 1: we have witnessed in this early part of the second

1273
01:04:10,040 --> 01:04:13,240
Speaker 1: term for Trump. So hopefully they'll move ahead and go

1274
01:04:13,320 --> 01:04:16,240
Speaker 1: after the criminals and go after the problems and then

1275
01:04:16,280 --> 01:04:19,040
Speaker 1: maybe be in a better situation that way. We'll see

1276
01:04:19,040 --> 01:04:23,760
Speaker 1: how it goes. I mean it, it's just difficult.

1277
01:04:23,920 --> 01:04:24,600
Speaker 2: It really is.

1278
01:04:25,040 --> 01:04:27,680
Speaker 1: Five point three seven four nine, seven, eight hundred. The

1279
01:04:27,680 --> 01:04:29,960
Speaker 1: big one your chance to get interactive. Coming up after

1280
01:04:30,000 --> 01:04:33,320
Speaker 1: eleven o'clock Mike d Wall from space dot com he

1281
01:04:33,360 --> 01:04:35,600
Speaker 1: will join us. We'll talk about that Artemis rocket that

1282
01:04:35,640 --> 01:04:38,640
Speaker 1: they were repairing and a new schedule for changes of

1283
01:04:38,680 --> 01:04:41,360
Speaker 1: them trying to get up and around the moon. Plus

1284
01:04:41,400 --> 01:04:44,960
Speaker 1: also private space stations and all that talk about like

1285
01:04:45,480 --> 01:04:48,080
Speaker 1: going to near space and taking a trip that way.

1286
01:04:48,480 --> 01:04:50,800
Speaker 1: Sooner than later we'll be able to go to private

1287
01:04:50,880 --> 01:04:54,760
Speaker 1: space stations like on vacation or you know, like there

1288
01:04:54,840 --> 01:04:58,360
Speaker 1: might be a Hiltons or something in space which would

1289
01:04:58,360 --> 01:05:01,440
Speaker 1: be tremendous. Let's get one more here before the break

1290
01:05:01,480 --> 01:05:03,520
Speaker 1: to Mason and Randy was sterling on the big one.

1291
01:05:03,520 --> 01:05:05,400
Speaker 2: Hey Randy, I.

1292
01:05:05,320 --> 01:05:06,360
Speaker 10: Mean thanks for taking to call.

1293
01:05:06,560 --> 01:05:08,760
Speaker 3: Yeah, man, well, i'd like to I'd like to.

1294
01:05:08,720 --> 01:05:12,240
Speaker 10: Know you know that every time the administration says that

1295
01:05:12,360 --> 01:05:16,240
Speaker 10: you know that they're rounding up these illegal aliens, that

1296
01:05:16,240 --> 01:05:18,560
Speaker 10: that they're always the worst of the worst. Everybody's a

1297
01:05:18,640 --> 01:05:24,360
Speaker 10: rapist or murderer or you know, uh, battery. But but

1298
01:05:24,480 --> 01:05:27,360
Speaker 10: I I find it hard to believe that there's that

1299
01:05:27,640 --> 01:05:30,480
Speaker 10: many of them and most of them are not just

1300
01:05:30,760 --> 01:05:34,200
Speaker 10: here whose only crime is here illegally, as opposed to

1301
01:05:35,000 --> 01:05:38,400
Speaker 10: trying to break, you know, support their family, work hard,

1302
01:05:38,600 --> 01:05:39,080
Speaker 10: and so on.

1303
01:05:39,200 --> 01:05:41,760
Speaker 1: If you heard well, you know, I can tell you

1304
01:05:41,800 --> 01:05:43,840
Speaker 1: this that the numbers that have come out that have

1305
01:05:43,840 --> 01:05:46,760
Speaker 1: been published by the government don't go along with what

1306
01:05:47,040 --> 01:05:49,600
Speaker 1: the government has been saying publicly.

1307
01:05:49,720 --> 01:05:51,960
Speaker 2: If that makes sense, Okay, they've said.

1308
01:05:51,800 --> 01:05:54,760
Speaker 10: What that's that's that's kind of that That's exactly what

1309
01:05:54,800 --> 01:05:56,400
Speaker 10: I was trying to ask and get.

1310
01:05:56,240 --> 01:05:59,280
Speaker 1: At there their numbers, what they have said, as you

1311
01:05:59,400 --> 01:06:01,520
Speaker 1: just described, the worst of the worst, has been a

1312
01:06:01,520 --> 01:06:03,880
Speaker 1: lot of talk. But the numbers that they show of

1313
01:06:03,960 --> 01:06:07,160
Speaker 1: actual people that have been taken and you're either being

1314
01:06:07,200 --> 01:06:10,360
Speaker 1: held currently or have been deported, it's a much smaller number.

1315
01:06:10,360 --> 01:06:12,480
Speaker 1: It's a lot more of what you described as just

1316
01:06:12,520 --> 01:06:15,440
Speaker 1: being here illegally. But it is key term there is

1317
01:06:15,480 --> 01:06:19,240
Speaker 1: they're not legally here, So you're kind of you're kind

1318
01:06:19,280 --> 01:06:19,840
Speaker 1: of in that wear.

1319
01:06:20,000 --> 01:06:23,440
Speaker 10: If I understand that, well, except that I don't, I

1320
01:06:23,440 --> 01:06:27,760
Speaker 10: can justify being here, you know, break, you know, you know,

1321
01:06:27,880 --> 01:06:31,240
Speaker 10: being here illegally to support your family. In other words,

1322
01:06:31,200 --> 01:06:35,040
Speaker 10: if that's your if that's your crime, then more power

1323
01:06:35,080 --> 01:06:38,520
Speaker 10: to you. I'm never going to convict. If I was

1324
01:06:38,520 --> 01:06:41,360
Speaker 10: on the jury, I would never convict that person of

1325
01:06:41,920 --> 01:06:43,240
Speaker 10: being here illegally.

1326
01:06:43,520 --> 01:06:45,720
Speaker 1: Well, I don't think that there's such a thing as illegal.

1327
01:06:46,240 --> 01:06:47,400
Speaker 1: Let me just say this because I don't think we

1328
01:06:47,440 --> 01:06:50,080
Speaker 1: necessarily disagree fully on this. I don't think there's anything

1329
01:06:50,280 --> 01:06:53,360
Speaker 1: described as like an illegal human. But the bottom line is,

1330
01:06:53,400 --> 01:06:56,120
Speaker 1: you know, being aggressive and treating people that way for

1331
01:06:56,320 --> 01:06:59,400
Speaker 1: just being here across the border and doing exactly what

1332
01:06:59,440 --> 01:07:01,200
Speaker 1: you said would is trying to have a better life

1333
01:07:01,200 --> 01:07:03,920
Speaker 1: and are working, contributing to the community and contributing to

1334
01:07:03,960 --> 01:07:06,720
Speaker 1: the society. That's another thing. And maybe there's a pathway

1335
01:07:06,760 --> 01:07:09,479
Speaker 1: to citizenship or something else, which they've done numerous times

1336
01:07:09,520 --> 01:07:12,360
Speaker 1: in our history. So we can agree on some stuff,

1337
01:07:12,440 --> 01:07:14,520
Speaker 1: other stuff we can't. And obviously a lot of the

1338
01:07:14,560 --> 01:07:18,160
Speaker 1: other at show and it's you know, it's chumming the

1339
01:07:18,160 --> 01:07:20,720
Speaker 1: water for people that like to, you know, to have

1340
01:07:20,840 --> 01:07:23,200
Speaker 1: that type of thing because we're motivated by pleasure and

1341
01:07:23,240 --> 01:07:25,480
Speaker 1: pain and hate, and that's very effective.

1342
01:07:26,560 --> 01:07:29,480
Speaker 10: Well, maybe maybe this new guy will be a little

1343
01:07:29,480 --> 01:07:30,680
Speaker 10: different than.

1344
01:07:31,160 --> 01:07:32,840
Speaker 2: We'll see how that goes. I hope so too.

1345
01:07:32,920 --> 01:07:34,840
Speaker 1: I think Holman knows what he's doing. And Randy, I

1346
01:07:34,840 --> 01:07:36,920
Speaker 1: appreciate the comment. Thank you against the wall in time.

1347
01:07:36,960 --> 01:07:39,480
Speaker 1: I'm actually late. Russ Jackson don't be mad. I think

1348
01:07:39,480 --> 01:07:42,040
Speaker 1: I owe you a minute. Uh, Mike Wall straight away,

1349
01:07:42,240 --> 01:07:44,320
Speaker 1: Kevin Carr talking movies. There's more to do. It's a

1350
01:07:44,360 --> 01:07:46,400
Speaker 1: Friday Starling where the Reds play home with the Reds

1351
01:07:46,600 --> 01:07:49,600
Speaker 1: and those basketball bear catch tomorrow in action here seven

1352
01:07:49,680 --> 01:07:54,720
Speaker 1: hundred wwle Cincinnati Comfy confines to the studio with the

1353
01:07:54,760 --> 01:07:57,560
Speaker 1: window into a hallway along Montgomery Road down from the

1354
01:07:57,640 --> 01:07:58,920
Speaker 1: Kenwood Town Center.

1355
01:07:58,760 --> 01:08:01,120
Speaker 2: All the way to the Bay Area for Ohio.

1356
01:08:01,240 --> 01:08:05,160
Speaker 1: Guy who knows from space flight stuff that directs such

1357
01:08:05,200 --> 01:08:07,600
Speaker 1: things for space dot Com might be well, welcome back

1358
01:08:07,600 --> 01:08:08,640
Speaker 1: to the big One with Sterling.

1359
01:08:08,680 --> 01:08:09,200
Speaker 2: How are you.

1360
01:08:09,160 --> 01:08:11,600
Speaker 3: Man doing good?

1361
01:08:12,160 --> 01:08:14,680
Speaker 2: I'm doing okay. I have to ask.

1362
01:08:14,920 --> 01:08:17,719
Speaker 1: So we talked a couple of weeks ago, and I

1363
01:08:17,800 --> 01:08:22,439
Speaker 1: realized that getting to space on the best of days

1364
01:08:23,000 --> 01:08:26,960
Speaker 1: is dangerous. On the worst of days, you end up

1365
01:08:27,000 --> 01:08:31,360
Speaker 1: a cautionary tale and a horrible story of tragedy and

1366
01:08:31,439 --> 01:08:35,400
Speaker 1: loss and being a pioneer to get somewhere out there.

1367
01:08:36,120 --> 01:08:38,760
Speaker 1: Which leads me to the Artemis to Moon rocket that's

1368
01:08:38,760 --> 01:08:41,360
Speaker 1: supposed to be going up and around the Moon. As

1369
01:08:41,400 --> 01:08:42,920
Speaker 1: they start to plan to get to the Moon and

1370
01:08:42,960 --> 01:08:45,799
Speaker 1: then maybe elsewhere like Mars and so forth, down the line.

1371
01:08:46,200 --> 01:08:49,120
Speaker 1: NASA was repairing it. It was supposed to be fixed

1372
01:08:49,280 --> 01:08:51,760
Speaker 1: in the last week or two. The wheels will come off,

1373
01:08:51,760 --> 01:08:53,559
Speaker 1: which I don't think it really has wheels except when

1374
01:08:53,560 --> 01:08:56,120
Speaker 1: it rolls to the bad Can you blreak down what happened,

1375
01:08:56,320 --> 01:08:56,920
Speaker 1: what they're.

1376
01:08:56,840 --> 01:08:57,639
Speaker 2: Doing, please?

1377
01:08:59,080 --> 01:08:59,320
Speaker 9: Yes.

1378
01:08:59,439 --> 01:09:02,200
Speaker 12: So they they found like a little problem with the

1379
01:09:02,520 --> 01:09:04,800
Speaker 12: upper stage of the rocket. There was a problem with

1380
01:09:04,800 --> 01:09:08,920
Speaker 12: with like the they're like the flow of like helium

1381
01:09:09,000 --> 01:09:12,840
Speaker 12: through the upper stage and that's that's an issue because

1382
01:09:12,880 --> 01:09:16,080
Speaker 12: because they use helium to actually pressurize the propellant tanks.

1383
01:09:16,600 --> 01:09:18,760
Speaker 12: So if the helium is not flowing through properly, then

1384
01:09:18,800 --> 01:09:22,120
Speaker 12: the tanks can't pressurize and you can't fill them properly.

1385
01:09:22,160 --> 01:09:23,559
Speaker 3: And it's just it's it's a no go.

1386
01:09:23,720 --> 01:09:26,280
Speaker 12: So they had to roll it off the launch pad, uh,

1387
01:09:26,720 --> 01:09:29,439
Speaker 12: probably like a week and a half ago to get

1388
01:09:29,439 --> 01:09:32,599
Speaker 12: it fixed back in the hangar at Kennedy State Center

1389
01:09:32,600 --> 01:09:33,120
Speaker 12: in Florida.

1390
01:09:33,920 --> 01:09:35,760
Speaker 3: And they apparently have done that.

1391
01:09:35,920 --> 01:09:38,080
Speaker 12: I mean they they've given us a few updates over

1392
01:09:38,120 --> 01:09:40,400
Speaker 12: the past week or so saying that that the fixes

1393
01:09:40,439 --> 01:09:43,240
Speaker 12: are going pretty well. But the but the rollback, they

1394
01:09:43,560 --> 01:09:45,800
Speaker 12: like had been actually pushing for a launch like as

1395
01:09:45,840 --> 01:09:48,080
Speaker 12: early as as like today I think it was, but

1396
01:09:48,160 --> 01:09:52,439
Speaker 12: with the rollback from the pad that took the sort

1397
01:09:52,479 --> 01:09:54,680
Speaker 12: of window out of play, that the March window out

1398
01:09:54,720 --> 01:09:56,920
Speaker 12: of place, and now the earliest it could launch is

1399
01:09:56,920 --> 01:09:58,040
Speaker 12: actually April first.

1400
01:09:58,800 --> 01:10:02,680
Speaker 1: Well at least they're fixing it before sending it up

1401
01:10:02,680 --> 01:10:05,559
Speaker 1: there and then going, oh, well that didn't work out

1402
01:10:05,600 --> 01:10:07,760
Speaker 1: for us, because we've seen a couple of times when

1403
01:10:07,840 --> 01:10:12,559
Speaker 1: you know, something catastrophic has occurred. How much time do

1404
01:10:12,600 --> 01:10:15,479
Speaker 1: you know that they have spent from coming up with

1405
01:10:15,560 --> 01:10:19,240
Speaker 1: this artemous rocket change to where they are now with

1406
01:10:19,320 --> 01:10:20,880
Speaker 1: the idea that it would get to you know, to

1407
01:10:21,000 --> 01:10:23,680
Speaker 1: the moon and back around and so forth, and then

1408
01:10:23,720 --> 01:10:26,080
Speaker 1: maybe utilize it over time, because this is one of

1409
01:10:26,120 --> 01:10:27,200
Speaker 1: those reusable deals.

1410
01:10:27,320 --> 01:10:30,400
Speaker 2: Yeah, no, it's actually this.

1411
01:10:30,400 --> 01:10:33,759
Speaker 3: This is this. Yeah, this is like not a reusable rocket.

1412
01:10:33,800 --> 01:10:36,160
Speaker 12: You know, we're like we're so used to uh just

1413
01:10:36,320 --> 01:10:40,400
Speaker 12: SpaceX kind of making reusability kind of commonplace, or you

1414
01:10:40,479 --> 01:10:42,840
Speaker 12: just you just sort of assume most rockets are re usable,

1415
01:10:42,880 --> 01:10:46,400
Speaker 12: because most rockets are because most rockets are launched by SpaceX.

1416
01:10:46,880 --> 01:10:50,559
Speaker 12: But yeah, this is this is like an old fashioned

1417
01:10:50,560 --> 01:10:53,439
Speaker 12: like expendable rocket. Fly it once and it falls into

1418
01:10:53,439 --> 01:10:55,240
Speaker 12: the ocean, and you don't use it again, which is

1419
01:10:55,280 --> 01:10:58,320
Speaker 12: sort of that's one of the reasons why there's been

1420
01:10:58,400 --> 01:11:01,599
Speaker 12: like this long lag time. If people are remember that this, yeah,

1421
01:11:01,640 --> 01:11:04,320
Speaker 12: this is the Artemis two mission. I mean Artemis one

1422
01:11:05,000 --> 01:11:08,440
Speaker 12: launched November of twenty twenty two, and that was a success.

1423
01:11:08,800 --> 01:11:11,479
Speaker 12: It was also long delayed. They had to roll back

1424
01:11:11,520 --> 01:11:14,360
Speaker 12: to the to the hangar at Kenny Space Center multiple

1425
01:11:14,439 --> 01:11:17,439
Speaker 12: times to fix propellant leaks and stuff like that. But

1426
01:11:17,960 --> 01:11:21,600
Speaker 12: that mission, which sent like an uncrewed Orion capsule to

1427
01:11:22,200 --> 01:11:25,400
Speaker 12: orbit around the Moon, it was ultimately successful back in

1428
01:11:25,479 --> 01:11:29,120
Speaker 12: late twenty twenty two. But here we are in early

1429
01:11:29,160 --> 01:11:32,360
Speaker 12: twenty twenty six and we haven't had another Artemist mission yet.

1430
01:11:32,360 --> 01:11:33,920
Speaker 3: We're still waiting for Artemis two to fly.

1431
01:11:34,040 --> 01:11:35,920
Speaker 12: So it's coming up on three and a half years

1432
01:11:35,960 --> 01:11:39,719
Speaker 12: between the first Artemist mission and the second. And that's

1433
01:11:39,760 --> 01:11:42,519
Speaker 12: not something that that NASSA Ahead planned when they set

1434
01:11:43,320 --> 01:11:45,759
Speaker 12: they started mapping out like the Artemis missions and how

1435
01:11:46,200 --> 01:11:48,840
Speaker 12: it was, Yeah, because a vision they would fly about

1436
01:11:48,840 --> 01:11:51,880
Speaker 12: once per year, and yeah, we just haven't seen that.

1437
01:11:51,960 --> 01:11:54,160
Speaker 12: Part of that's because it's difficult to build a moon

1438
01:11:54,240 --> 01:11:56,439
Speaker 12: rocket and this is a new one and they're being

1439
01:11:56,520 --> 01:11:58,840
Speaker 12: ultra careful because this is going to have astronauts on

1440
01:11:58,880 --> 01:12:00,600
Speaker 12: it and so forth. But it's still well, yeah, this

1441
01:12:00,680 --> 01:12:03,439
Speaker 12: is still like a much bigger gap between launches than

1442
01:12:03,479 --> 01:12:04,520
Speaker 12: nasahead anticipated.

1443
01:12:04,680 --> 01:12:07,439
Speaker 1: Talking to Micah Wall from space dot com Stirling on

1444
01:12:07,479 --> 01:12:09,880
Speaker 1: the big one. So yeah, okay, so not reusable, but

1445
01:12:09,960 --> 01:12:13,080
Speaker 1: it is massive. I mean, we've talked about a couple

1446
01:12:13,120 --> 01:12:16,479
Speaker 1: of these, and you think about like skyscrapers, you know,

1447
01:12:16,600 --> 01:12:20,680
Speaker 1: thirty five forty stories tall. Some of these rockets are

1448
01:12:20,840 --> 01:12:24,040
Speaker 1: comparable size to a mid sized or even you know,

1449
01:12:24,200 --> 01:12:29,360
Speaker 1: forty story skyscraper. That's hard for someone to process how

1450
01:12:29,400 --> 01:12:33,360
Speaker 1: that thing is propelled out of our atmosphere anywhere, let

1451
01:12:33,360 --> 01:12:34,680
Speaker 1: alone off the ground at all.

1452
01:12:36,400 --> 01:12:39,160
Speaker 12: Yeah, and that's the case with the Artemis Moon rocket.

1453
01:12:39,200 --> 01:12:41,320
Speaker 12: It's called the Space Launch System. It's about three hundred

1454
01:12:41,320 --> 01:12:44,240
Speaker 12: and twenty feet tall, so it is basically like I mean,

1455
01:12:44,240 --> 01:12:47,960
Speaker 12: it's like a thirty story building that launches launches into space.

1456
01:12:48,040 --> 01:12:51,679
Speaker 12: It's it is remarkable, and you can't really like appreciate

1457
01:12:51,720 --> 01:12:54,000
Speaker 12: the scale of these things unless you're actually standing next

1458
01:12:54,040 --> 01:12:55,640
Speaker 12: to them or kind of close to them on the

1459
01:12:55,680 --> 01:12:56,160
Speaker 12: launch pad.

1460
01:12:56,160 --> 01:12:57,439
Speaker 3: You can't get like right next to them.

1461
01:12:57,479 --> 01:13:00,120
Speaker 12: Obviously it's dangerous, but if you could see them with

1462
01:13:00,160 --> 01:13:01,280
Speaker 12: your own eyes and just see.

1463
01:13:01,160 --> 01:13:01,800
Speaker 3: How big they are.

1464
01:13:01,840 --> 01:13:04,559
Speaker 12: It is, I mean it is really it's it's kind

1465
01:13:04,560 --> 01:13:07,519
Speaker 12: of shocking that they can actually fly and get up

1466
01:13:07,520 --> 01:13:10,440
Speaker 12: into space, and that just gives you a better appreciation

1467
01:13:10,640 --> 01:13:13,240
Speaker 12: for how much energy is going into these things. And

1468
01:13:13,240 --> 01:13:15,680
Speaker 12: that's exactly why spaceflight is dangerous and why they have

1469
01:13:15,680 --> 01:13:18,599
Speaker 12: to be so careful because any yeah, any little kind

1470
01:13:18,600 --> 01:13:21,360
Speaker 12: of problem with that much energy involved is going to

1471
01:13:21,439 --> 01:13:22,639
Speaker 12: be a big, big deal.

1472
01:13:22,760 --> 01:13:25,160
Speaker 1: Yeah, it could be catastrophic, to say the least, if

1473
01:13:25,200 --> 01:13:27,760
Speaker 1: it were using gas, which it's not because you know,

1474
01:13:27,840 --> 01:13:29,040
Speaker 1: gas prices have gone up.

1475
01:13:29,360 --> 01:13:30,679
Speaker 2: What fuel does it use it?

1476
01:13:30,760 --> 01:13:33,120
Speaker 1: Because, I mean it is massive and most of that

1477
01:13:33,320 --> 01:13:35,400
Speaker 1: they would use a small one, right, if it didn't

1478
01:13:35,439 --> 01:13:38,479
Speaker 1: take so much fuel, you know, in that process to

1479
01:13:38,600 --> 01:13:40,639
Speaker 1: ignite it to get it going. Correct. So, I mean

1480
01:13:40,960 --> 01:13:43,360
Speaker 1: it's not because there's that much stuff that it's carrying.

1481
01:13:43,439 --> 01:13:46,120
Speaker 1: That's just propellant I guess or whatever you whatever that

1482
01:13:46,240 --> 01:13:47,559
Speaker 1: term is for the fuel.

1483
01:13:47,560 --> 01:13:47,920
Speaker 2: Correct.

1484
01:13:49,280 --> 01:13:51,679
Speaker 3: Yeah, they they do use a lot of propellant.

1485
01:13:51,680 --> 01:13:54,959
Speaker 12: It actually runs like liquid hydrogen is the main propellant

1486
01:13:54,960 --> 01:13:58,600
Speaker 12: and then there's an aquidizer liquid oxygen, and both of

1487
01:13:58,640 --> 01:14:02,160
Speaker 12: them are cryogenic to get which means really cold, like

1488
01:14:02,200 --> 01:14:05,720
Speaker 12: I mean, to be liquid. Those those those molecules have

1489
01:14:05,800 --> 01:14:08,960
Speaker 12: to be super super cold. So that's another complication. You

1490
01:14:09,080 --> 01:14:12,200
Speaker 12: liquid hydrogen is a very small molecule, you know, it's

1491
01:14:12,240 --> 01:14:15,960
Speaker 12: just too it's it's it's two hydrogen atomsponded together. And

1492
01:14:16,000 --> 01:14:18,280
Speaker 12: that's been an issue, especially on the first Artimist mission.

1493
01:14:18,280 --> 01:14:20,839
Speaker 12: If that's a really small molecule, so it leaks very easily.

1494
01:14:21,360 --> 01:14:23,320
Speaker 12: And that's why they had all these leak problems on

1495
01:14:23,439 --> 01:14:24,000
Speaker 12: Artemious one.

1496
01:14:24,040 --> 01:14:25,120
Speaker 3: There if there's a.

1497
01:14:25,160 --> 01:14:27,639
Speaker 12: Tiny little leak in any of the seals or anything,

1498
01:14:27,640 --> 01:14:29,560
Speaker 12: I mean, liquid hydrogen can just zip out through it

1499
01:14:29,640 --> 01:14:32,439
Speaker 12: such a small molecule, and so they just really had

1500
01:14:32,479 --> 01:14:34,639
Speaker 12: to work hard to fix those leaks in the first one.

1501
01:14:35,120 --> 01:14:37,599
Speaker 12: They seem to have that under control now, but they

1502
01:14:38,080 --> 01:14:41,120
Speaker 12: there's there's always something, there's always a new complication. It

1503
01:14:41,160 --> 01:14:43,880
Speaker 12: seems like when there's a giant rocket like this, it

1504
01:14:43,920 --> 01:14:46,880
Speaker 12: is made up of like literally millions of different parts

1505
01:14:46,880 --> 01:14:49,120
Speaker 12: and all of them have to be installed perfectly correctly

1506
01:14:49,200 --> 01:14:51,800
Speaker 12: and work in concert with each other. It's it's just

1507
01:14:51,840 --> 01:14:54,439
Speaker 12: a really difficult undertake. I mean, it is rocket science

1508
01:14:54,439 --> 01:14:55,000
Speaker 12: after all.

1509
01:14:55,720 --> 01:14:58,760
Speaker 1: The name it's like it's rocket science, you know, it

1510
01:14:58,800 --> 01:15:02,960
Speaker 1: really is. Talking to a Spaceflight Tech Channel editor from

1511
01:15:03,000 --> 01:15:05,720
Speaker 1: space dot com, Ohio guy out west, Michael O.

1512
01:15:05,880 --> 01:15:07,559
Speaker 2: Wall was stirling on the big one.

1513
01:15:07,720 --> 01:15:10,840
Speaker 1: Now, let's shift gears if we can, because we've talked

1514
01:15:10,880 --> 01:15:13,839
Speaker 1: about you know, being trash men in space or you know,

1515
01:15:14,160 --> 01:15:16,679
Speaker 1: you know, like waist recovery, like a runky or whatever

1516
01:15:16,720 --> 01:15:19,920
Speaker 1: else up in space. You know, that's there's the future

1517
01:15:19,920 --> 01:15:22,920
Speaker 1: in that because the space debris a problem. But the

1518
01:15:23,000 --> 01:15:24,880
Speaker 1: other thing that we talked about, you know, these trips

1519
01:15:24,880 --> 01:15:28,760
Speaker 1: to space for tourists, you know, for obviously people of

1520
01:15:28,840 --> 01:15:31,120
Speaker 1: some means or fame where you know, they can see

1521
01:15:31,160 --> 01:15:33,519
Speaker 1: the marketplace by saying, you know, so and so into

1522
01:15:33,560 --> 01:15:35,800
Speaker 1: space and then some other rich person will cough up

1523
01:15:35,800 --> 01:15:38,280
Speaker 1: some cash because they want to be like them. But

1524
01:15:38,800 --> 01:15:42,680
Speaker 1: we had joked about space stations and you know, if

1525
01:15:42,760 --> 01:15:44,880
Speaker 1: regular people could be living up there, whatever the hell

1526
01:15:44,960 --> 01:15:49,080
Speaker 1: regular people mean, Mike. But there are apparently at least

1527
01:15:49,120 --> 01:15:53,240
Speaker 1: one or two private space station projects that are going

1528
01:15:53,320 --> 01:15:55,880
Speaker 1: on or not up there yet, but they're building tourment.

1529
01:15:55,960 --> 01:15:58,240
Speaker 1: Can you break down what is going on? One of

1530
01:15:58,280 --> 01:16:00,759
Speaker 1: which is like a half billion dollar d called Haven.

1531
01:16:00,840 --> 01:16:04,760
Speaker 12: I think, yeah, it's it's actually more than one or two.

1532
01:16:04,800 --> 01:16:08,040
Speaker 12: It's like more like four or five. It's in that neighborhood,

1533
01:16:08,040 --> 01:16:10,479
Speaker 12: you know. And that's put a that's probably because actually

1534
01:16:10,560 --> 01:16:14,240
Speaker 12: NASA has been encouraging their development. NASA has, yeah, has

1535
01:16:14,280 --> 01:16:17,000
Speaker 12: been funding some of these private space stations because the

1536
01:16:17,680 --> 01:16:19,600
Speaker 12: like the goal is you know, like like the International

1537
01:16:19,600 --> 01:16:22,559
Speaker 12: Space Station, which has been around for a quarter century

1538
01:16:22,560 --> 01:16:25,679
Speaker 12: now with astronauts on board all the time, it's coming

1539
01:16:25,760 --> 01:16:28,000
Speaker 12: toward the end of its life. The current plan is

1540
01:16:28,040 --> 01:16:30,240
Speaker 12: to kind of retire at the end of twenty thirty,

1541
01:16:30,280 --> 01:16:33,759
Speaker 12: although actually Congress is pushing to extend that by two years.

1542
01:16:35,280 --> 01:16:37,600
Speaker 12: And so what NASA wants to do is have a

1543
01:16:38,120 --> 01:16:40,000
Speaker 12: you have at least one or two kind of private

1544
01:16:40,040 --> 01:16:43,719
Speaker 12: space stations ready to go like when the ISS is done,

1545
01:16:43,760 --> 01:16:45,800
Speaker 12: so that there will be no gap in sort of

1546
01:16:45,840 --> 01:16:47,800
Speaker 12: like a destination to send their astronauts to in the

1547
01:16:47,840 --> 01:16:51,519
Speaker 12: North orbit and so, yeahs as astronauts are going up

1548
01:16:51,560 --> 01:16:53,519
Speaker 12: and down in the National Space Station, NASA has also

1549
01:16:53,560 --> 01:16:55,800
Speaker 12: got this other program that is encouraging the development of

1550
01:16:55,840 --> 01:16:58,599
Speaker 12: these private space stations. It's like sort of like you know,

1551
01:16:58,640 --> 01:17:02,880
Speaker 12: how how the agency they encourage the development of of

1552
01:17:02,920 --> 01:17:06,120
Speaker 12: like private ashnout taxis like the most famous one has

1553
01:17:06,160 --> 01:17:09,400
Speaker 12: been very successful by SpaceX, you know, to take ashnuts

1554
01:17:09,439 --> 01:17:12,200
Speaker 12: up and down, do that like via the private sector.

1555
01:17:12,280 --> 01:17:14,160
Speaker 12: So if you have the same kind of vision in

1556
01:17:14,240 --> 01:17:17,320
Speaker 12: line with private space stations, you know, help them get

1557
01:17:17,360 --> 01:17:19,680
Speaker 12: up and running, be like an anchor.

1558
01:17:19,400 --> 01:17:21,920
Speaker 3: Tenant for them, to help them stay afloat.

1559
01:17:21,960 --> 01:17:24,559
Speaker 12: And then like eventually other kind of customers would come along,

1560
01:17:24,600 --> 01:17:26,280
Speaker 12: and they may be super rich people who want to

1561
01:17:26,320 --> 01:17:28,680
Speaker 12: go up there and spend one hundred million dollars to

1562
01:17:28,720 --> 01:17:30,840
Speaker 12: spend like like a month in orth orbit and so on,

1563
01:17:31,479 --> 01:17:31,920
Speaker 12: and just.

1564
01:17:31,920 --> 01:17:34,879
Speaker 1: Kind of yes, yeah, yeah, I could live the interest

1565
01:17:34,920 --> 01:17:36,599
Speaker 1: of the one hundred but like, oh just a month,

1566
01:17:37,800 --> 01:17:39,439
Speaker 1: you know, and think about going to Mexico and doing

1567
01:17:39,479 --> 01:17:41,360
Speaker 1: scuba diving, and I'm like, can I pull off a month?

1568
01:17:41,400 --> 01:17:43,599
Speaker 2: Could I do that? Just go to space? The hell

1569
01:17:43,640 --> 01:17:45,599
Speaker 2: would it? Do it? It's only a four million, two

1570
01:17:45,680 --> 01:17:48,400
Speaker 2: hundred million you can spare that, right, that's crazy?

1571
01:17:48,439 --> 01:17:51,000
Speaker 12: Yeah, yeah, well, there there are a lot of There

1572
01:17:51,040 --> 01:17:53,120
Speaker 12: are a lot of very very wealthy people out there

1573
01:17:53,160 --> 01:17:56,360
Speaker 12: who are looking for new and impressive ways to spend

1574
01:17:56,400 --> 01:17:58,599
Speaker 12: their money and to impress their friends.

1575
01:17:58,760 --> 01:17:59,320
Speaker 2: Absolutely.

1576
01:17:59,360 --> 01:18:00,920
Speaker 1: You know what I love about this though, in the

1577
01:18:00,960 --> 01:18:03,799
Speaker 1: midst of all of the talk Mike about robots taking

1578
01:18:03,840 --> 01:18:07,360
Speaker 1: over an AI and what's coming. They name one of

1579
01:18:07,400 --> 01:18:10,360
Speaker 1: these space stations haven because this is where the rich

1580
01:18:10,400 --> 01:18:12,599
Speaker 1: are gonna look to escape, Like the really rich, you're

1581
01:18:12,640 --> 01:18:15,519
Speaker 1: looking to escape, a haven away from the hell when

1582
01:18:15,560 --> 01:18:18,360
Speaker 1: they go when everything goes down the toilet, they're gonna

1583
01:18:18,400 --> 01:18:21,479
Speaker 1: leave us here. Yeah, you know, you just seem as

1584
01:18:21,479 --> 01:18:23,559
Speaker 1: a matter but yeah, yeah, I mean, I guess I

1585
01:18:23,600 --> 01:18:26,000
Speaker 1: can't change it. I shouldn't be bothered. But you're just like, well,

1586
01:18:26,040 --> 01:18:27,920
Speaker 1: of course they are. That doesn't make me feel better

1587
01:18:27,960 --> 01:18:28,200
Speaker 1: at all.

1588
01:18:28,240 --> 01:18:32,200
Speaker 12: Well, it's sort of there is like a dystopian line

1589
01:18:32,280 --> 01:18:35,719
Speaker 12: of thinking by some of the people who are space

1590
01:18:35,760 --> 01:18:38,760
Speaker 12: flight enthusiasts who are just like, well, we can, like

1591
01:18:38,840 --> 01:18:41,599
Speaker 12: we need to expand Commandy's footprint out into the Solar System,

1592
01:18:41,640 --> 01:18:44,679
Speaker 12: we need to colonize Mars. We need to do something

1593
01:18:44,800 --> 01:18:47,759
Speaker 12: because you know, Earth is a way station. We're eventually

1594
01:18:47,800 --> 01:18:49,640
Speaker 12: gonna screw it up enough where it's eventually going to

1595
01:18:49,640 --> 01:18:52,479
Speaker 12: be animable. And it's like that that may be true,

1596
01:18:52,479 --> 01:18:54,200
Speaker 12: but it doesn't mean we should give up on Earth,

1597
01:18:54,320 --> 01:18:56,519
Speaker 12: or we should just say everything's screwed up and we

1598
01:18:56,560 --> 01:18:58,920
Speaker 12: should just move on. But there are some people who

1599
01:18:59,040 --> 01:19:01,519
Speaker 12: kind of it's kind of implied in some of the

1600
01:19:02,080 --> 01:19:05,040
Speaker 12: push out into space kind of arguments.

1601
01:19:04,479 --> 01:19:07,160
Speaker 1: Well, it's pretty wild, and so they'll go out on

1602
01:19:07,200 --> 01:19:11,360
Speaker 1: a missile a rocket to space and stay and if

1603
01:19:11,360 --> 01:19:15,479
Speaker 1: we're lucky, I mean, your situation may be mine different,

1604
01:19:16,720 --> 01:19:20,320
Speaker 1: will end up like in an old abandoned silo, living underground. Maybe,

1605
01:19:20,960 --> 01:19:23,360
Speaker 1: I mean, that's that's what's left for the rest of us.

1606
01:19:23,400 --> 01:19:25,680
Speaker 1: I don't know, you know, maybe Russ Jackson, maybe our

1607
01:19:25,720 --> 01:19:26,759
Speaker 1: Willie will live different.

1608
01:19:26,800 --> 01:19:27,800
Speaker 2: I don't know, but.

1609
01:19:29,240 --> 01:19:31,400
Speaker 1: That just I'm not I mean, like, did you ever

1610
01:19:31,400 --> 01:19:37,320
Speaker 1: see that movie Chud Cannibalistic humanoid underground dwellers. Yeah, I'm

1611
01:19:37,400 --> 01:19:39,559
Speaker 1: very unnerved by that. Now this ties into that one

1612
01:19:39,560 --> 01:19:40,880
Speaker 1: more thing and then we'll let you hop and I

1613
01:19:40,960 --> 01:19:43,320
Speaker 1: really do appreciate you making time, you know, on your

1614
01:19:43,320 --> 01:19:45,720
Speaker 1: weekend Mighty Wall from space dot Com with Sterling on

1615
01:19:45,760 --> 01:19:48,680
Speaker 1: the Big One. Something that ties into whether it's a

1616
01:19:48,720 --> 01:19:51,439
Speaker 1: scientist and astronauts of one type or another on the

1617
01:19:51,439 --> 01:19:53,960
Speaker 1: space station or elsewhere, or the rest of us on a

1618
01:19:54,080 --> 01:19:56,639
Speaker 1: vacation or escaping, you know, the end of the world

1619
01:19:56,680 --> 01:19:59,960
Speaker 1: as we know it. They've been attempting to grow all

1620
01:20:00,080 --> 01:20:03,160
Speaker 1: kinds of things. But apparently now that they've simulated lunar

1621
01:20:03,320 --> 01:20:05,160
Speaker 1: dirt and so forth, I don't know how that happens.

1622
01:20:05,240 --> 01:20:06,280
Speaker 2: They've grown chickpeas.

1623
01:20:06,360 --> 01:20:08,479
Speaker 1: That's a positive thing, right for the future and being

1624
01:20:08,479 --> 01:20:11,040
Speaker 1: able to sustain life and then using that as a

1625
01:20:11,080 --> 01:20:14,640
Speaker 1: place to go to the next yeah.

1626
01:20:13,720 --> 01:20:16,120
Speaker 12: Yeah, yeah, And it's sort of like the expansion off

1627
01:20:16,160 --> 01:20:17,720
Speaker 12: of Earth, like we're talking about it. It's like a

1628
01:20:17,720 --> 01:20:21,200
Speaker 12: step by step project and these are baby steps, but

1629
01:20:21,200 --> 01:20:23,840
Speaker 12: there's still steps, you know, trying to figure out can

1630
01:20:23,920 --> 01:20:27,920
Speaker 12: we grow crops in lunar in lunar dirt? And if

1631
01:20:27,960 --> 01:20:30,639
Speaker 12: we can, how efficient would it be? And if we can't,

1632
01:20:30,760 --> 01:20:34,000
Speaker 12: why is that? What might we have to change? And yeah,

1633
01:20:34,040 --> 01:20:36,720
Speaker 12: so there's a group of scientists who did like successfully

1634
01:20:36,760 --> 01:20:39,360
Speaker 12: grow chickpeas and in simulated moon dirt.

1635
01:20:39,400 --> 01:20:41,479
Speaker 3: You know, we've we've brought dirt back.

1636
01:20:41,400 --> 01:20:43,040
Speaker 12: From the Moon on the Apollo missions, so we know

1637
01:20:43,200 --> 01:20:47,679
Speaker 12: like the basic consistency, how big the the grains are,

1638
01:20:47,800 --> 01:20:50,479
Speaker 12: what the they're composed of, so you can you can

1639
01:20:50,520 --> 01:20:52,400
Speaker 12: make a pretty faithful simulant of that stuff.

1640
01:20:52,400 --> 01:20:53,880
Speaker 3: And there's been a lot of kind.

1641
01:20:53,800 --> 01:20:56,400
Speaker 12: Of experiments using those sorts of simulants of both Mars

1642
01:20:56,439 --> 01:21:00,120
Speaker 12: dirt and Moon dirt, And yeah, scientists are starting to

1643
01:21:00,160 --> 01:21:02,840
Speaker 12: figure out that you can grow plants in them. You

1644
01:21:02,960 --> 01:21:04,680
Speaker 12: just have to add some of the nutrients, and you

1645
01:21:04,760 --> 01:21:06,519
Speaker 12: have to be very patient, and you just have to

1646
01:21:06,560 --> 01:21:07,599
Speaker 12: do a lot of trial and error.

1647
01:21:07,600 --> 01:21:08,479
Speaker 3: But I mean some of those.

1648
01:21:08,320 --> 01:21:11,439
Speaker 12: Experiments are actually returning like relatively positive results.

1649
01:21:11,600 --> 01:21:12,880
Speaker 2: That's a step in the right direction.

1650
01:21:12,920 --> 01:21:14,720
Speaker 1: And then that course leads me to, then does that

1651
01:21:14,760 --> 01:21:17,280
Speaker 1: mean that we'll eat like real protein, Like they'll bring

1652
01:21:17,360 --> 01:21:19,560
Speaker 1: chickens that'll float around, they'll have to like, I don't know,

1653
01:21:19,680 --> 01:21:22,200
Speaker 1: velcrow them down, or cattle there'll be velcrowed to the

1654
01:21:22,240 --> 01:21:25,120
Speaker 1: wall like Letterman in the old days or whatever else.

1655
01:21:25,560 --> 01:21:28,439
Speaker 1: Or will it just be simulated meat protein products that

1656
01:21:28,479 --> 01:21:30,760
Speaker 1: you know or whatever else? Do they have a plan

1657
01:21:30,920 --> 01:21:33,040
Speaker 1: or an idea, any thoughts that they've shared, or what

1658
01:21:33,080 --> 01:21:33,599
Speaker 1: do you think?

1659
01:21:35,320 --> 01:21:39,080
Speaker 12: I think that the food science will progress in concert

1660
01:21:39,160 --> 01:21:42,000
Speaker 12: with the space science such that we won't have to

1661
01:21:42,000 --> 01:21:46,520
Speaker 12: take cows with us, hopefully, but that that could there, They're.

1662
01:21:46,120 --> 01:21:49,360
Speaker 1: Like, and then we'll just leave and the cows will

1663
01:21:49,400 --> 01:21:51,200
Speaker 1: be like, well, there weren't really a lot of us before.

1664
01:21:51,240 --> 01:21:55,639
Speaker 1: The people anyway, Yeah, they're probably gonna they're probably gonna

1665
01:21:55,640 --> 01:21:57,920
Speaker 1: be enough people who make breakthroughs with like with like

1666
01:21:57,960 --> 01:22:02,280
Speaker 1: simulated meat, or people set it slabs of tofu or

1667
01:22:02,680 --> 01:22:04,679
Speaker 1: i know, squeeze the tea of tofu into your mouth.

1668
01:22:04,680 --> 01:22:06,920
Speaker 3: There's something on the way. It's probably a lot more like.

1669
01:22:07,479 --> 01:22:09,679
Speaker 1: Yeah, because I'm thinking like on a on a Sunday

1670
01:22:09,720 --> 01:22:13,360
Speaker 1: afternoon watching space baseball or whatever the hell else is

1671
01:22:13,360 --> 01:22:15,200
Speaker 1: going on. Other be like, hey, can I get one

1672
01:22:15,200 --> 01:22:18,040
Speaker 1: of those vacuum packs of squeezable ribs please?

1673
01:22:18,160 --> 01:22:19,200
Speaker 2: Yeah, I can.

1674
01:22:19,320 --> 01:22:22,320
Speaker 1: I can see that being my Sunday afternoon. You could

1675
01:22:22,400 --> 01:22:24,680
Speaker 1: at least grow green. You know, we'll see about the

1676
01:22:24,680 --> 01:22:25,200
Speaker 1: other stuff.

1677
01:22:25,360 --> 01:22:26,240
Speaker 2: Thank you for making time.

1678
01:22:26,280 --> 01:22:28,599
Speaker 1: Anything else in short order that we should look forward

1679
01:22:28,640 --> 01:22:31,040
Speaker 1: to in this next week or so ahead in space

1680
01:22:31,160 --> 01:22:32,120
Speaker 1: or otherwise, Mike.

1681
01:22:33,680 --> 01:22:35,760
Speaker 12: I don't think so, just sort of the lead up

1682
01:22:35,760 --> 01:22:37,719
Speaker 12: to Artemis too. You know, it's not that far away.

1683
01:22:37,760 --> 01:22:41,320
Speaker 12: If if if April first is still the target dat

1684
01:22:41,320 --> 01:22:43,400
Speaker 12: and it seems like it is, then that's only a

1685
01:22:43,439 --> 01:22:47,120
Speaker 12: few weeks off. So there'll be a drumbeat of anticipation

1686
01:22:47,240 --> 01:22:50,280
Speaker 12: for that and and little news news pieces coming out

1687
01:22:50,280 --> 01:22:51,880
Speaker 12: about that. But that's that's gonna be a really big

1688
01:22:51,880 --> 01:22:54,240
Speaker 12: deal when it happens, you know, sending astronauts to the

1689
01:22:54,240 --> 01:22:55,720
Speaker 12: neighborhood of the Moon for the first time.

1690
01:22:55,800 --> 01:22:56,280
Speaker 3: It's Apollo.

1691
01:22:56,479 --> 01:22:57,719
Speaker 2: Oh hell yeah, that's massive.

1692
01:22:58,200 --> 01:22:58,920
Speaker 3: Yeah, it'll be cool.

1693
01:22:58,960 --> 01:23:01,200
Speaker 1: They should move it to April second, just on principles.

1694
01:23:01,240 --> 01:23:02,760
Speaker 1: People won't believe it or something like that.

1695
01:23:03,200 --> 01:23:03,599
Speaker 9: I don't know.

1696
01:23:03,800 --> 01:23:04,360
Speaker 3: Yeah.

1697
01:23:04,600 --> 01:23:06,760
Speaker 2: Always a good talking to you from space dot Com.

1698
01:23:06,800 --> 01:23:07,320
Speaker 2: It's Mike d.

1699
01:23:07,439 --> 01:23:11,639
Speaker 1: Wall he knows from space Stuffs, tech Channel editor in Spaceflight.

1700
01:23:11,680 --> 01:23:13,280
Speaker 1: Thank you, man, take care of yourself. Enjoyed the rest

1701
01:23:13,280 --> 01:23:13,719
Speaker 1: of your weekend.

1702
01:23:15,080 --> 01:23:16,240
Speaker 3: Yep, yeah, man said to you.

1703
01:23:16,320 --> 01:23:17,960
Speaker 1: Take care of yourself all right, straight away. You got

1704
01:23:18,000 --> 01:23:21,000
Speaker 1: your eleven thirty report. It's not ed up, but one

1705
01:23:21,080 --> 01:23:24,240
Speaker 1: hundred right now with five minutes to go in overtime

1706
01:23:24,320 --> 01:23:27,240
Speaker 1: Miami RedHawks and oh you getting at it the news

1707
01:23:27,280 --> 01:23:30,559
Speaker 1: straight away, Kevin Carr of the Other Side talking movies

1708
01:23:30,640 --> 01:23:37,559
Speaker 1: here the Home of the Red seven hundred. Wow, just

1709
01:23:37,600 --> 01:23:38,960
Speaker 1: when he thought it was safe to go back to

1710
01:23:39,000 --> 01:23:42,320
Speaker 1: the movie. Sure, there's been Frankenstein movies built and rebuilt

1711
01:23:42,640 --> 01:23:45,679
Speaker 1: creatures of one kind or another, a couple of those recently,

1712
01:23:45,720 --> 01:23:49,080
Speaker 1: one new this weekend, and Pixar's back with something new too.

1713
01:23:49,360 --> 01:23:53,400
Speaker 1: They've created something and it looks beautiful, at least the trailers.

1714
01:23:53,439 --> 01:23:55,519
Speaker 1: I've seen a guy who sees these things. He picks

1715
01:23:55,560 --> 01:23:57,880
Speaker 1: one every week, he joins us. He can end up

1716
01:23:57,880 --> 01:24:00,000
Speaker 1: in your mailbox if you find him a silver gecko

1717
01:24:00,120 --> 01:24:02,640
Speaker 1: on the sub stack. He was also my partner of

1718
01:24:02,640 --> 01:24:04,880
Speaker 1: the Chubby and Stick podcast. Kevin Carr. Welcome back to

1719
01:24:04,920 --> 01:24:06,839
Speaker 1: seven hundred w welw wi Sterling.

1720
01:24:06,840 --> 01:24:07,559
Speaker 2: What is going on?

1721
01:24:08,320 --> 01:24:10,439
Speaker 4: Oh, not much, just just getting ready to talk to

1722
01:24:10,520 --> 01:24:12,280
Speaker 4: you about the new Pixar movie.

1723
01:24:12,320 --> 01:24:15,320
Speaker 2: I guess right, well, I think so. Yeah, Hopper, Hopper.

1724
01:24:15,200 --> 01:24:19,160
Speaker 4: Hopper has nothing to do with the sheriff from Stranger Things.

1725
01:24:19,160 --> 01:24:23,599
Speaker 4: Don't worry different thing or you know, maybe that's what

1726
01:24:23,640 --> 01:24:25,800
Speaker 4: you want and the kid's movie, you could.

1727
01:24:25,560 --> 01:24:27,880
Speaker 2: It might be a little different, a little strange for sure.

1728
01:24:28,360 --> 01:24:29,040
Speaker 2: What is this about?

1729
01:24:29,080 --> 01:24:31,799
Speaker 1: Is this about like all creatures in Woodland, creatures, small

1730
01:24:31,840 --> 01:24:33,800
Speaker 1: furry things or what exactly is this?

1731
01:24:34,400 --> 01:24:34,599
Speaker 8: Yeah?

1732
01:24:34,600 --> 01:24:36,800
Speaker 4: Okay, so the basic gist of it is, there's this

1733
01:24:36,840 --> 01:24:40,960
Speaker 4: girl who loves this Nate. She lives in a town

1734
01:24:41,080 --> 01:24:45,800
Speaker 4: that's called Beaverton, and she there's her favorite Glenn that

1735
01:24:45,840 --> 01:24:49,320
Speaker 4: she was at with her like her grandmother, and grandmother's

1736
01:24:49,360 --> 01:24:51,920
Speaker 4: passed away. Could she can't have a Disney movie without

1737
01:24:51,920 --> 01:24:53,960
Speaker 4: a dead parent or relative in there somewhere.

1738
01:24:54,760 --> 01:24:55,080
Speaker 2: So she.

1739
01:24:56,640 --> 01:25:00,000
Speaker 4: Wants to save it from being bulldozed for a free

1740
01:25:00,280 --> 01:25:01,840
Speaker 4: and so she's been going toe to toe with the

1741
01:25:01,880 --> 01:25:04,320
Speaker 4: mayor and trying to stop it and everything, and she

1742
01:25:04,400 --> 01:25:07,599
Speaker 4: stumbles upon this technology. I'm not gonna explain how or why,

1743
01:25:07,880 --> 01:25:11,920
Speaker 4: this technology that allows her to basically project her brain

1744
01:25:12,320 --> 01:25:15,800
Speaker 4: her mind into a robotic beaver that is very realistic,

1745
01:25:16,000 --> 01:25:17,960
Speaker 4: and then she can go talk to the animals and everything,

1746
01:25:18,280 --> 01:25:22,240
Speaker 4: and as the beaver as this as this woodling creature,

1747
01:25:22,320 --> 01:25:25,400
Speaker 4: she starts to try and get them to fight back

1748
01:25:25,400 --> 01:25:27,599
Speaker 4: and everything. And that's the basic gist of it. It's

1749
01:25:27,880 --> 01:25:30,799
Speaker 4: it goes in that line of Pixar high concept movies.

1750
01:25:31,600 --> 01:25:33,600
Speaker 4: This has been a struggle for me for years on

1751
01:25:33,640 --> 01:25:37,160
Speaker 4: the radio. You know, some things are easy to explain

1752
01:25:37,240 --> 01:25:40,479
Speaker 4: from Pixar. A you know, a rack that wants to

1753
01:25:40,479 --> 01:25:42,880
Speaker 4: be a chef. Okay, that's gratitude. You know, toys that

1754
01:25:42,920 --> 01:25:46,040
Speaker 4: come to life. But then try to try to blurb

1755
01:25:46,080 --> 01:25:49,400
Speaker 4: in and out, inside out as quickly as you can,

1756
01:25:50,240 --> 01:25:52,760
Speaker 4: and it gets a little bit tough. But that's what's

1757
01:25:52,760 --> 01:25:54,840
Speaker 4: so great about Pixar movies is they have these high

1758
01:25:54,880 --> 01:25:59,080
Speaker 4: concept crazy stuff going on, and Pixar has had some

1759
01:25:59,160 --> 01:26:01,760
Speaker 4: stumbles recently. You know, light Year didn't do well and

1760
01:26:02,280 --> 01:26:05,720
Speaker 4: l e O kind of flopped last year. But this

1761
01:26:05,800 --> 01:26:09,240
Speaker 4: is kind of going back to the original idea well,

1762
01:26:09,880 --> 01:26:11,880
Speaker 4: even though it does kind of have that steal that

1763
01:26:11,920 --> 01:26:15,040
Speaker 4: sort of plot point from Avatar. But I mean it's

1764
01:26:15,080 --> 01:26:18,120
Speaker 4: a cute movie, it really is. And it does seem

1765
01:26:18,120 --> 01:26:21,360
Speaker 4: at times derivative from some other Pixar movies, but that's

1766
01:26:21,360 --> 01:26:23,880
Speaker 4: because they've they've been one like thirty or forty of

1767
01:26:23,920 --> 01:26:25,440
Speaker 4: them by now there's.

1768
01:26:25,080 --> 01:26:26,559
Speaker 2: A lot they have made a lot.

1769
01:26:26,600 --> 01:26:28,640
Speaker 1: Now, what do you know about the and I know

1770
01:26:28,760 --> 01:26:31,000
Speaker 1: this is geek stuff that it's not about content of

1771
01:26:31,080 --> 01:26:34,799
Speaker 1: the film, which looks visually stunning, but over that window

1772
01:26:34,880 --> 01:26:37,200
Speaker 1: of time. Kevin Carr, by the way, sover Gecko on

1773
01:26:37,280 --> 01:26:39,160
Speaker 1: Substack with Sterling on the Big One talking about this

1774
01:26:39,160 --> 01:26:43,559
Speaker 1: new Pixar movie called Hoppers, the visual is amazing and

1775
01:26:43,560 --> 01:26:46,160
Speaker 1: when they first started doing stuff, we were all blown

1776
01:26:46,160 --> 01:26:48,920
Speaker 1: away then, But they've come a long way. How much

1777
01:26:49,160 --> 01:26:51,920
Speaker 1: different drastically and visually do you think it isn't? And

1778
01:26:52,000 --> 01:26:54,160
Speaker 1: what makes it so much more special? I mean it's

1779
01:26:54,160 --> 01:26:55,639
Speaker 1: just the technology, I guess.

1780
01:26:56,120 --> 01:26:58,639
Speaker 4: Well, yeah, it's it's technology, and you build upon other

1781
01:26:58,680 --> 01:27:01,840
Speaker 4: technology and you get better processing and better computers and

1782
01:27:02,240 --> 01:27:05,559
Speaker 4: different techniques and better emulation processes. I mean, I've had

1783
01:27:06,000 --> 01:27:10,519
Speaker 4: interesting I have had real interesting conversations and interviews with

1784
01:27:10,560 --> 01:27:12,240
Speaker 4: some of the people who work in Pictar. I had

1785
01:27:12,680 --> 01:27:15,160
Speaker 4: the woman I think she I don't think she directs

1786
01:27:15,160 --> 01:27:17,080
Speaker 4: this one, but she's heavily involved in this one. And

1787
01:27:17,160 --> 01:27:19,120
Speaker 4: I talked to her way back when she was working

1788
01:27:19,120 --> 01:27:23,360
Speaker 4: on something early. It may have it may have been Mowana,

1789
01:27:23,400 --> 01:27:26,559
Speaker 4: which is a Disney one rather than Pixar, but her

1790
01:27:26,760 --> 01:27:30,920
Speaker 4: entire job was to figure out how to represent water. Yes,

1791
01:27:32,160 --> 01:27:34,320
Speaker 4: and we had a whole conversation about that. But they

1792
01:27:34,360 --> 01:27:36,800
Speaker 4: have people, they have dozens of people just figuring out

1793
01:27:37,320 --> 01:27:39,640
Speaker 4: how to make fur look like fur, and how to

1794
01:27:39,640 --> 01:27:42,000
Speaker 4: make the sunlight come through it, and how to make

1795
01:27:42,520 --> 01:27:46,360
Speaker 4: wind move in a natural, chaotic sense. And it's the

1796
01:27:46,840 --> 01:27:50,479
Speaker 4: science and math and artistry is beyond me. But they've

1797
01:27:50,479 --> 01:27:54,599
Speaker 4: got scores of people doing that, and that's that's where

1798
01:27:54,640 --> 01:27:57,639
Speaker 4: the nuance comes in. They've gotten to the point where

1799
01:27:57,680 --> 01:28:01,280
Speaker 4: they can fully animate everything. It's just it's getting more

1800
01:28:01,400 --> 01:28:05,080
Speaker 4: and more realistic. Without crossing into that on Kinney Valley

1801
01:28:05,120 --> 01:28:07,920
Speaker 4: because again you still have humans. You don't want them

1802
01:28:07,960 --> 01:28:10,280
Speaker 4: to look too human because they look weird, and so

1803
01:28:10,320 --> 01:28:13,559
Speaker 4: they still got to look cartoonish. So there's a lot

1804
01:28:13,600 --> 01:28:15,439
Speaker 4: of stuff that goes on behind the screens in these

1805
01:28:15,479 --> 01:28:15,960
Speaker 4: kind of movies.

1806
01:28:16,640 --> 01:28:19,360
Speaker 1: How much faster with technology do you think, because I

1807
01:28:19,400 --> 01:28:21,559
Speaker 1: mean you think back to Disney and all the stuff

1808
01:28:21,600 --> 01:28:23,600
Speaker 1: from the early days, some of which now is no

1809
01:28:23,680 --> 01:28:26,000
Speaker 1: longer going to be like it's you know, bit by

1810
01:28:26,040 --> 01:28:28,880
Speaker 1: bit the trademark or service marks are going away. That's

1811
01:28:28,920 --> 01:28:31,799
Speaker 1: why we've seen some bastardization of some stuff that's been made.

1812
01:28:32,000 --> 01:28:35,479
Speaker 4: But like the public domain stuff like Screamboat Willie and

1813
01:28:35,479 --> 01:28:36,880
Speaker 4: stuff like that for.

1814
01:28:37,000 --> 01:28:38,600
Speaker 2: Windy to food Movie.

1815
01:28:40,760 --> 01:28:44,559
Speaker 4: And Honey and which was man, Yeah.

1816
01:28:44,000 --> 01:28:46,519
Speaker 2: I love that. But they used to draw this.

1817
01:28:46,640 --> 01:28:49,639
Speaker 1: There were animators like rooms and rooms of them with

1818
01:28:49,720 --> 01:28:53,840
Speaker 1: like pencils and ink and stuff. And now it's obviously

1819
01:28:54,240 --> 01:28:56,880
Speaker 1: uh technology and people behind it with computers.

1820
01:28:57,640 --> 01:28:57,880
Speaker 2: Is it?

1821
01:28:57,880 --> 01:29:00,479
Speaker 1: How much do we know AI in the few turevent

1822
01:29:00,520 --> 01:29:02,080
Speaker 1: I hate to say, and I know everything must like

1823
01:29:02,160 --> 01:29:05,200
Speaker 1: AI AI. Everything is AI. But that has to play

1824
01:29:05,240 --> 01:29:08,200
Speaker 1: into this somehow down the line. If not currently yeah.

1825
01:29:08,520 --> 01:29:10,519
Speaker 4: Well yes, and no, I mean it's real dicey for

1826
01:29:10,680 --> 01:29:14,479
Speaker 4: these these companies because you know, Pixar does not want

1827
01:29:14,520 --> 01:29:18,439
Speaker 4: to dip into the AI pool because it would be

1828
01:29:18,720 --> 01:29:20,400
Speaker 4: seen as a slap in the face to all the

1829
01:29:20,439 --> 01:29:23,040
Speaker 4: people that work there. I think a lot of and

1830
01:29:23,080 --> 01:29:25,680
Speaker 4: you've got to really kind of parse AI versus what

1831
01:29:25,800 --> 01:29:30,200
Speaker 4: it is, what it's used for, what people use it for,

1832
01:29:30,320 --> 01:29:34,080
Speaker 4: and how they use it, and whether some people want

1833
01:29:34,120 --> 01:29:35,479
Speaker 4: to use it or never use it. I mean, there's

1834
01:29:35,520 --> 01:29:37,360
Speaker 4: a there's a lot of discussion. I know you've had

1835
01:29:37,439 --> 01:29:40,479
Speaker 4: AI people on before, but I don't think there's going

1836
01:29:40,560 --> 01:29:42,760
Speaker 4: to be anything AI and a Pixar movie anytime soon,

1837
01:29:42,800 --> 01:29:47,360
Speaker 4: because Pixar has built itself on the human element of animation.

1838
01:29:48,640 --> 01:29:52,800
Speaker 4: And even then AI is used as a g Whiz

1839
01:29:52,880 --> 01:29:55,439
Speaker 4: Kitchie type thing of you going on Facebook and saying,

1840
01:29:55,479 --> 01:29:58,080
Speaker 4: do an AI portrait of me? Or you want to

1841
01:29:58,120 --> 01:29:59,679
Speaker 4: do something that I want to see a dog riding

1842
01:29:59,720 --> 01:30:04,320
Speaker 4: in the you know, something like that. But that's that's disposable,

1843
01:30:04,400 --> 01:30:08,720
Speaker 4: that's that's there's no market for something like that. You know,

1844
01:30:08,800 --> 01:30:11,879
Speaker 4: Like there's an Ohio lottery ad running around it's clearly

1845
01:30:11,920 --> 01:30:18,120
Speaker 4: AI and okay it's a lottery. But like movies like

1846
01:30:18,200 --> 01:30:20,320
Speaker 4: The Bad Guys, too. Do you remember that movie that

1847
01:30:20,400 --> 01:30:23,479
Speaker 4: came out a couple of months ago. Uh, yeah, that one,

1848
01:30:23,960 --> 01:30:26,000
Speaker 4: and and other ones that they're starting to do. They're

1849
01:30:26,000 --> 01:30:29,200
Speaker 4: starting to put notices on those that say this is

1850
01:30:29,240 --> 01:30:32,880
Speaker 4: not to be absorbed by AI and put into their database.

1851
01:30:33,680 --> 01:30:38,800
Speaker 4: We prohibit that because there's a huge fight coming, especially

1852
01:30:39,439 --> 01:30:44,320
Speaker 4: in UH Animation and in Hollywood where AI. Because the

1853
01:30:44,320 --> 01:30:47,120
Speaker 4: way AI works is it digests all this other stuff

1854
01:30:47,479 --> 01:30:49,680
Speaker 4: and then kicks it back out and makes it and

1855
01:30:49,800 --> 01:30:53,240
Speaker 4: uses the style, but there's no royalty payment or no

1856
01:30:54,200 --> 01:30:57,160
Speaker 4: or no credit given to what it was trained on.

1857
01:30:57,560 --> 01:31:00,600
Speaker 1: I talked exts on that, and I mean, but this

1858
01:31:00,680 --> 01:31:03,120
Speaker 1: is the thing that I can't process. If you and

1859
01:31:03,160 --> 01:31:06,479
Speaker 1: I went into a room and took other people's work

1860
01:31:06,600 --> 01:31:10,639
Speaker 1: and regurgitated it and put our thumbprint on it, we.

1861
01:31:10,640 --> 01:31:11,320
Speaker 2: Could be sued.

1862
01:31:11,760 --> 01:31:15,320
Speaker 1: But the AI does that and people go, well, you

1863
01:31:15,360 --> 01:31:16,400
Speaker 1: know it's all out there.

1864
01:31:17,160 --> 01:31:18,840
Speaker 4: Yeah, Well there's the difference, and that's why I think

1865
01:31:18,880 --> 01:31:21,360
Speaker 4: why they're putting those stamps on it. And we talked

1866
01:31:21,400 --> 01:31:23,040
Speaker 4: about this a little bit with that that that roof

1867
01:31:23,080 --> 01:31:29,400
Speaker 4: type rooftop fight with Brad Pitton Tom Cruiser, and there's

1868
01:31:29,400 --> 01:31:33,479
Speaker 4: like one with Fanos fighting Darth Vader part of those.

1869
01:31:33,960 --> 01:31:35,920
Speaker 4: You're getting those and they look cool, but there's no

1870
01:31:36,000 --> 01:31:38,880
Speaker 4: story behind them, so you cannot make a movie based

1871
01:31:38,920 --> 01:31:42,560
Speaker 4: on that. And they're they're alreadys trying to put safeguards

1872
01:31:42,560 --> 01:31:46,400
Speaker 4: in and there are people trying to use AI to

1873
01:31:46,439 --> 01:31:49,400
Speaker 4: regurgitate scripts. And I imagine you could probably get an

1874
01:31:49,400 --> 01:31:52,479
Speaker 4: AI to regurgitate a you know, like something really cheesy,

1875
01:31:52,560 --> 01:31:55,400
Speaker 4: like a like a Hallmark Holity, there's something that follows

1876
01:31:55,400 --> 01:31:57,920
Speaker 4: that exact formula, but you're not going to get a

1877
01:31:57,920 --> 01:31:59,400
Speaker 4: Pixar movie out of it, because there's a lot of

1878
01:31:59,400 --> 01:32:03,519
Speaker 4: creativity and that sort of flash of genius that AI

1879
01:32:03,960 --> 01:32:07,519
Speaker 4: isn't even trained to do. They're just as I understand it, AI,

1880
01:32:08,760 --> 01:32:10,640
Speaker 4: it's it's a garbage in garbage a type thing. They

1881
01:32:10,640 --> 01:32:12,000
Speaker 4: can only do what they've been taught.

1882
01:32:12,200 --> 01:32:14,679
Speaker 1: Yeah, and that really is the case in Pixar certainly

1883
01:32:14,760 --> 01:32:16,960
Speaker 1: is not garbage, that's for sure. Even though you know

1884
01:32:17,120 --> 01:32:19,120
Speaker 1: a couple of those, like you said, weren't exactly as

1885
01:32:19,120 --> 01:32:20,200
Speaker 1: popular as they have been.

1886
01:32:20,400 --> 01:32:21,080
Speaker 2: So do you like this?

1887
01:32:21,200 --> 01:32:22,760
Speaker 1: I mean, if you got kids, this is one they're

1888
01:32:22,800 --> 01:32:25,200
Speaker 1: probably It's hard to find a movie that kids don't like,

1889
01:32:25,200 --> 01:32:26,679
Speaker 1: like this, trying.

1890
01:32:26,479 --> 01:32:29,439
Speaker 4: To figure routine right now. So, yeah, they're no longer

1891
01:32:29,439 --> 01:32:30,040
Speaker 4: a little one.

1892
01:32:29,920 --> 01:32:30,799
Speaker 2: They're not yours.

1893
01:32:30,880 --> 01:32:32,680
Speaker 1: But I mean when you see this, do you know,

1894
01:32:33,000 --> 01:32:35,080
Speaker 1: just like when they were little, did you ever take

1895
01:32:35,120 --> 01:32:37,920
Speaker 1: them to an animated feature that they were like, well

1896
01:32:37,920 --> 01:32:39,000
Speaker 1: this sucks, dad, let's go.

1897
01:32:39,640 --> 01:32:41,439
Speaker 4: Well, they've been the ones they liked more than others.

1898
01:32:41,560 --> 01:32:45,639
Speaker 4: Pixars The key with Pixars. Pixar always does stuff that's

1899
01:32:45,720 --> 01:32:49,320
Speaker 4: cute and vibrant and entertaining that kids are going to like,

1900
01:32:49,680 --> 01:32:53,439
Speaker 4: even the high even something like Up, which has a

1901
01:32:53,479 --> 01:32:56,040
Speaker 4: lot of adult themes and ideas in it. And why

1902
01:32:56,040 --> 01:32:57,559
Speaker 4: I said adult themes, I don't mean like X ray

1903
01:32:57,560 --> 01:32:58,479
Speaker 4: and I'm just talking about like.

1904
01:32:58,400 --> 01:32:59,519
Speaker 2: Grown up thoughts. Yeah.

1905
01:32:59,760 --> 01:33:02,759
Speaker 4: Yeah, but then it still has the dog that talks,

1906
01:33:02,920 --> 01:33:07,120
Speaker 4: you know what I mean, and which was named Kevin.

1907
01:33:07,160 --> 01:33:08,120
Speaker 4: The bird was named Kevin.

1908
01:33:08,240 --> 01:33:09,439
Speaker 2: That's right up.

1909
01:33:10,040 --> 01:33:12,200
Speaker 4: So that's what Pixar is really good at. That's kind

1910
01:33:12,200 --> 01:33:13,800
Speaker 4: of where they're maskall at, where they can do the

1911
01:33:13,880 --> 01:33:16,519
Speaker 4: cute stuff that gets the little kids engaged, but it

1912
01:33:16,560 --> 01:33:19,720
Speaker 4: also has the story elements that the adults like. And

1913
01:33:19,800 --> 01:33:23,320
Speaker 4: so in terms of Hoppers, it's cute forest creatures doing

1914
01:33:23,360 --> 01:33:26,240
Speaker 4: funny things. So yeah, kids are gonna like it. Right,

1915
01:33:26,680 --> 01:33:30,439
Speaker 4: But adults can appreciate it because it goes deeper into

1916
01:33:30,479 --> 01:33:33,960
Speaker 4: that and it's a deeper cut and that's what makes

1917
01:33:33,960 --> 01:33:36,960
Speaker 4: a really good movie. Uh, even though at times this

1918
01:33:37,080 --> 01:33:39,679
Speaker 4: does at certain times it kind of feels like it's

1919
01:33:39,720 --> 01:33:42,800
Speaker 4: replaying some of Pixar's greatest hits. But like I said,

1920
01:33:42,840 --> 01:33:46,280
Speaker 4: they've done a couple dozen movies. So you're you're gonna

1921
01:33:46,439 --> 01:33:48,479
Speaker 4: you're gonna try to flame ground again.

1922
01:33:48,560 --> 01:33:50,000
Speaker 2: Yeah, I would think that's the case.

1923
01:33:50,040 --> 01:33:51,760
Speaker 1: Talking to Kevin Carr by the way, Silver Gecko and

1924
01:33:51,760 --> 01:33:53,839
Speaker 1: substats where you can find he'll pop in your mailbox.

1925
01:33:53,880 --> 01:33:55,759
Speaker 2: He's had this long series. I think it's The Rabbit,

1926
01:33:55,840 --> 01:33:59,120
Speaker 2: right or something like that that's been running The Rabbit.

1927
01:33:58,920 --> 01:34:01,400
Speaker 4: For Yeah, that's a that's an vella that I had

1928
01:34:01,400 --> 01:34:03,360
Speaker 4: been eking out over the week.

1929
01:34:03,720 --> 01:34:04,240
Speaker 2: Which is great.

1930
01:34:04,240 --> 01:34:05,760
Speaker 1: You just sort of here's a little bit, here's a

1931
01:34:05,800 --> 01:34:08,120
Speaker 1: little bit, here's a little bit more. That's good marketing.

1932
01:34:08,280 --> 01:34:10,559
Speaker 1: I like the way that works. Yeah, all right, so

1933
01:34:10,600 --> 01:34:12,439
Speaker 1: Hopper sounds like it might be something now, And I

1934
01:34:12,479 --> 01:34:14,680
Speaker 1: know I don't some of this you've seen maybe some

1935
01:34:14,840 --> 01:34:17,400
Speaker 1: you have it. There have been a multitude of hockey

1936
01:34:17,439 --> 01:34:19,880
Speaker 1: movies lately, and I know there's another new one that

1937
01:34:19,960 --> 01:34:22,679
Speaker 1: just came out this weekend or at least maybe streaming,

1938
01:34:22,720 --> 01:34:27,839
Speaker 1: called young Blood. And there's also another Frankenstein or Bride,

1939
01:34:27,840 --> 01:34:30,880
Speaker 1: the Bride, which is another the Bride of Frankenstein.

1940
01:34:30,360 --> 01:34:32,439
Speaker 4: A bride because it's got an exclamation mark.

1941
01:34:32,560 --> 01:34:33,759
Speaker 2: It does it's very exciting.

1942
01:34:34,520 --> 01:34:36,519
Speaker 1: So it's just odd that we have this window of

1943
01:34:36,560 --> 01:34:39,160
Speaker 1: time where I can't recall when there were, oh, there's

1944
01:34:39,200 --> 01:34:41,720
Speaker 1: a couple of hockey movies. Here, here's a and I

1945
01:34:41,720 --> 01:34:44,200
Speaker 1: know there've been a variety of Frankenstein type films, but

1946
01:34:44,360 --> 01:34:46,519
Speaker 1: you know, the Guermo del Toro thing, which I thought

1947
01:34:46,560 --> 01:34:46,880
Speaker 1: was cool.

1948
01:34:46,960 --> 01:34:47,879
Speaker 2: Now this is the Bride.

1949
01:34:48,360 --> 01:34:50,880
Speaker 1: I mean, it just seems like a, here's some hockey movies,

1950
01:34:50,920 --> 01:34:52,080
Speaker 1: here's some monster movies.

1951
01:34:52,160 --> 01:34:52,639
Speaker 2: Very odd.

1952
01:34:53,200 --> 01:34:55,679
Speaker 4: Yeah, I don't know. I don't know if Young bloods

1953
01:34:55,720 --> 01:34:58,160
Speaker 4: in theaters, but of course I'm assuming that's a remake

1954
01:34:58,200 --> 01:34:59,479
Speaker 4: of from the eighties.

1955
01:34:59,600 --> 01:35:04,400
Speaker 2: Yeah, Jack, Yeah, he's like he's a dagging kid. He's

1956
01:35:04,400 --> 01:35:07,000
Speaker 2: an Ohio guy Rob Blaw movie. Yeah, that's true. I think.

1957
01:35:07,040 --> 01:35:09,920
Speaker 2: So So there you go, Rush Dragson and you were

1958
01:35:09,920 --> 01:35:11,160
Speaker 2: having a mind melt, Kevin.

1959
01:35:11,720 --> 01:35:13,759
Speaker 4: There we are. Yeah, you know, I got that Bulkan

1960
01:35:13,800 --> 01:35:16,880
Speaker 4: strategy going on. But you know, The Bride. What's interesting.

1961
01:35:17,080 --> 01:35:19,640
Speaker 4: I've not seen The Bride. I'm very curious about it.

1962
01:35:19,680 --> 01:35:23,799
Speaker 4: I understand it's very chaotic and it's not for everyone.

1963
01:35:24,600 --> 01:35:27,080
Speaker 4: I think it's I think it's great that like Maggie Jillenhall,

1964
01:35:27,120 --> 01:35:31,040
Speaker 4: who the actress Maggie Jillhall, directs that. Yeah, and I

1965
01:35:31,120 --> 01:35:32,840
Speaker 4: like the fact that she's swinging for the fences and

1966
01:35:32,880 --> 01:35:37,519
Speaker 4: it's so completely wholly different than her last movie, which

1967
01:35:37,720 --> 01:35:41,160
Speaker 4: was this sort of this relationship drama with Olivia Coleman.

1968
01:35:41,200 --> 01:35:44,280
Speaker 4: I can't remember the name of it. Yeah, Oh, I

1969
01:35:44,320 --> 01:35:48,559
Speaker 4: love Lyvia Coleman. But this one's just kind of off

1970
01:35:48,600 --> 01:35:51,719
Speaker 4: the charts in terms of craziness. But also I've heard

1971
01:35:51,840 --> 01:35:54,920
Speaker 4: it's kind of like so crazy it doesn't quite give

1972
01:35:54,960 --> 01:35:57,679
Speaker 4: you necessarily what you want, but you know, it's it's

1973
01:35:57,720 --> 01:36:01,440
Speaker 4: it's not a straight up of the Bride of Frankenstein,

1974
01:36:01,720 --> 01:36:04,400
Speaker 4: and it's certainly not a redo of The Bride, which

1975
01:36:04,439 --> 01:36:07,360
Speaker 4: would start staying in Jennifer Beel's back in what nineteen

1976
01:36:07,400 --> 01:36:12,200
Speaker 4: eighty six? Yeah, but I mean, I love the if.

1977
01:36:12,200 --> 01:36:18,479
Speaker 4: Frankenstein is such a it's it's such a it can

1978
01:36:18,520 --> 01:36:21,120
Speaker 4: be done in so many different ways. It is it's

1979
01:36:21,120 --> 01:36:23,120
Speaker 4: that kind of movie that you can keep redoing it,

1980
01:36:23,160 --> 01:36:25,120
Speaker 4: and you can do the original kind of you know,

1981
01:36:25,640 --> 01:36:28,639
Speaker 4: one to one comparison of what was written in eighteen eighteen,

1982
01:36:29,360 --> 01:36:31,559
Speaker 4: or you can do a modern remake of it, and

1983
01:36:31,560 --> 01:36:34,120
Speaker 4: you can do and you can really you can delve

1984
01:36:34,160 --> 01:36:36,200
Speaker 4: deep into some of the concepts in there. I mean,

1985
01:36:36,240 --> 01:36:38,479
Speaker 4: Mary Shelley was it's a genius piece of work. If

1986
01:36:38,520 --> 01:36:43,599
Speaker 4: you've not read it, it's very flowery little but yeah,

1987
01:36:43,640 --> 01:36:46,560
Speaker 4: I mean so, I mean it's almost poetic in a

1988
01:36:46,560 --> 01:36:49,599
Speaker 4: lot of ways. But it's a fantastic book too, which

1989
01:36:50,400 --> 01:36:54,400
Speaker 4: rarely is given the actual treatment of the book. They

1990
01:36:54,520 --> 01:36:57,400
Speaker 4: think everyone kind of diverts to the Boris Carloff, the

1991
01:36:57,479 --> 01:36:59,799
Speaker 4: James Whale film from nineteen thirty one.

1992
01:37:00,240 --> 01:37:02,000
Speaker 1: Well, you know what's interesting And I just just search

1993
01:37:02,040 --> 01:37:04,120
Speaker 1: on this and you would know better than I would.

1994
01:37:04,240 --> 01:37:05,640
Speaker 1: So I don't know if this is legit or not.

1995
01:37:06,120 --> 01:37:08,920
Speaker 1: I just want I asked how many Frankenstein movies have

1996
01:37:09,000 --> 01:37:11,800
Speaker 1: been made? Sixty five, it says, and they say about

1997
01:37:11,800 --> 01:37:13,880
Speaker 1: forty of them. Depending on how you look at it

1998
01:37:13,920 --> 01:37:16,320
Speaker 1: would qualify, you know, if you're like being real, I

1999
01:37:16,360 --> 01:37:19,800
Speaker 1: guess serious about limiting access.

2000
01:37:19,400 --> 01:37:22,760
Speaker 4: Yeah, I mean, like the actual Frankenstein's story. But I mean,

2001
01:37:23,280 --> 01:37:25,000
Speaker 4: you know there's a mint I mean, does that include

2002
01:37:25,000 --> 01:37:27,320
Speaker 4: young Frankenstein and then does that include like Ghost of

2003
01:37:27,320 --> 01:37:29,520
Speaker 4: Frankenstein and Son of Frankenstein.

2004
01:37:29,640 --> 01:37:33,280
Speaker 2: See, I've got questions. Now you're answers and you're giving

2005
01:37:33,320 --> 01:37:36,160
Speaker 2: me more questions. That's not helpful. That's not how we're

2006
01:37:36,200 --> 01:37:37,040
Speaker 2: supposed to work.

2007
01:37:37,520 --> 01:37:40,680
Speaker 4: But Frankenstein shows up just in just in the universal

2008
01:37:40,760 --> 01:37:43,840
Speaker 4: running he shows up like six times. I mean, what Frankenstein,

2009
01:37:43,840 --> 01:37:47,920
Speaker 4: Bride of Frankenstein, Son of Frankenstein, Ghost of Frankenstein. Then

2010
01:37:47,920 --> 01:37:51,960
Speaker 4: he shows up and Frankenstein meets the wolfman Frankenstein, House

2011
01:37:51,960 --> 01:37:53,440
Speaker 4: of Dracula, House of Frankenstein.

2012
01:37:55,280 --> 01:37:56,640
Speaker 2: Oh I like that one. Yeah.

2013
01:37:56,640 --> 01:37:58,960
Speaker 4: And do you count the monsters as a as a

2014
01:37:59,000 --> 01:37:59,880
Speaker 4: TV because that's.

2015
01:37:59,720 --> 01:38:01,800
Speaker 2: A Frankenstein too.

2016
01:38:01,880 --> 01:38:02,040
Speaker 3: Yeah.

2017
01:38:02,080 --> 01:38:04,360
Speaker 2: See, I don't even know. So what qualifies just general?

2018
01:38:05,160 --> 01:38:07,479
Speaker 1: Is it like creatures that have been pieced back together

2019
01:38:07,600 --> 01:38:09,760
Speaker 1: counts as of Frankenstein even if you don't give it

2020
01:38:09,760 --> 01:38:10,800
Speaker 1: a Frankenstein name.

2021
01:38:10,840 --> 01:38:11,920
Speaker 2: I don't know what the rules are.

2022
01:38:12,320 --> 01:38:14,360
Speaker 4: I would say if you just say a straight up

2023
01:38:14,400 --> 01:38:17,160
Speaker 4: Frankenstein movie, it involves the creator and a monster of

2024
01:38:17,160 --> 01:38:20,120
Speaker 4: some sort. Okay, but I mean you you there's a

2025
01:38:20,120 --> 01:38:23,439
Speaker 4: lot of stuff that that is that that is its

2026
01:38:23,439 --> 01:38:26,320
Speaker 4: own Franks. It's like, there's so many versions of Pygmalion,

2027
01:38:26,439 --> 01:38:28,400
Speaker 4: you got you know, my fair Lady, you got pretty Woman,

2028
01:38:28,880 --> 01:38:31,720
Speaker 4: and and so, you know, I'm trying to think of

2029
01:38:31,960 --> 01:38:35,320
Speaker 4: a good example of a you know, there's a lot

2030
01:38:35,360 --> 01:38:38,760
Speaker 4: of stories that are Frankenstein's stories where somebody makes that

2031
01:38:38,720 --> 01:38:42,120
Speaker 4: a product of their own creation comes back and bites

2032
01:38:42,160 --> 01:38:42,760
Speaker 4: him in the tail.

2033
01:38:43,240 --> 01:38:44,920
Speaker 1: Is it wrong for me to say that I think

2034
01:38:44,960 --> 01:38:50,080
Speaker 1: that the bride is she somehow kind of Gothy hot

2035
01:38:50,120 --> 01:38:50,320
Speaker 1: to me?

2036
01:38:51,160 --> 01:38:53,240
Speaker 4: Yeah, you know, I get that. I mean Jesse Jesse

2037
01:38:53,320 --> 01:38:56,400
Speaker 4: Buckley hot because she's probably gonna win the Oscar for Hamnet,

2038
01:38:56,400 --> 01:38:58,960
Speaker 4: which is a very.

2039
01:38:58,640 --> 01:39:00,720
Speaker 1: And for those who don't know, because we're about out

2040
01:39:00,720 --> 01:39:02,840
Speaker 1: of time, that's that's basically a story of Shakespeare and

2041
01:39:02,840 --> 01:39:05,040
Speaker 1: how he put together one of his stories.

2042
01:39:05,439 --> 01:39:07,840
Speaker 4: Well, yeah, because it's it's based on the death of

2043
01:39:07,840 --> 01:39:11,040
Speaker 4: his son, right, yeah, and that's that's sort of the

2044
01:39:11,439 --> 01:39:14,840
Speaker 4: tragedy is what spawned Hamlet, you know what some people

2045
01:39:14,840 --> 01:39:16,080
Speaker 4: would consider his greatest play.

2046
01:39:16,400 --> 01:39:18,880
Speaker 1: All Right, we've gone so deep into the woods and

2047
01:39:18,920 --> 01:39:20,920
Speaker 1: out in a multitude of ways, and it makes me

2048
01:39:20,960 --> 01:39:22,920
Speaker 1: want to watch the movies but I have audio to

2049
01:39:23,000 --> 01:39:25,840
Speaker 1: create and you have helped bring us to the next level.

2050
01:39:25,840 --> 01:39:27,320
Speaker 1: And without you, I don't know where I would be.

2051
01:39:27,439 --> 01:39:31,720
Speaker 1: Kevin Carr, Yes, yes, you can find him on the

2052
01:39:32,920 --> 01:39:36,880
Speaker 1: sober Gecko on substack. I'm sorry, I'm fine. I've had

2053
01:39:36,920 --> 01:39:39,080
Speaker 1: all day to prepare for this. I was telling Russ

2054
01:39:39,120 --> 01:39:41,760
Speaker 1: Jackson off the air all day. I've been talking and

2055
01:39:41,800 --> 01:39:44,960
Speaker 1: fairly clearly. Here I finally get to hear to the show.

2056
01:39:45,240 --> 01:39:47,400
Speaker 1: Can't talk, can't think and put it all together, and

2057
01:39:47,439 --> 01:39:49,120
Speaker 1: all I have is three hours to do out of

2058
01:39:49,120 --> 01:39:53,360
Speaker 1: the whole day to this. It's or maybe a cocktail.

2059
01:39:53,400 --> 01:39:57,519
Speaker 1: We'll see how it goes. Well, now, let's not do that. No,

2060
01:39:57,760 --> 01:39:59,679
Speaker 1: that's true. Ice T be great, all right, Kevin Carr,

2061
01:39:59,680 --> 01:40:02,280
Speaker 1: thank you, We'll talk to you. Yeah, man, Silver Gecko

2062
01:40:02,360 --> 01:40:05,240
Speaker 1: substat Kevin Carr. Home of the Reds. They play here,

2063
01:40:05,600 --> 01:40:07,639
Speaker 1: seven hundred WULW, Cincinnati,