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Speaker 1: I think tonight's a fairly historic night where I think

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Speaker 1: you can go back and when you write the history,

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Speaker 1: you'll say this is the night that the global free

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Speaker 1: trade era begun by the United States and the post

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Speaker 1: war era led by the United States really came to

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Speaker 1: an end. There is now, I think, a permanent tariff

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Speaker 1: curtain around this country. Whether that's for good or for ill,

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Speaker 1: well we'll find out. But right now what it means

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Speaker 1: is that one person, one man, has put in place

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Speaker 1: the tariffs without Congress. There's some question about the legality

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Speaker 1: of what he's done, but you can also say, I

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Speaker 1: guess it was done democratically. If you voted for Donald

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Speaker 1: Trump and didn't know he was going to put these

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Speaker 1: tariffs on that were going to raise your prices and

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Speaker 1: limit your choice, well you were either willfully or we're

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Speaker 1: just misinformed. So this is a big night.

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Speaker 2: This is it.

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Speaker 1: We are now in a place where there are tariffs

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Speaker 1: that have gone off from what we're three percent, and

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Speaker 1: an effort that went on for decades to reduce tariff

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Speaker 1: barriers and increase free trade, it's over. Now there's a

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Speaker 1: tariff curtain around America.

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Speaker 3: Welcome back to squat Box.

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Speaker 4: Rick Santelli here with the big breaking news of the morning,

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Speaker 4: the big July job job jobs report. Non farm payrolls

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Speaker 4: up seventy three thousand. Definitely a bit light, but maybe

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Speaker 4: it's the goldilocks left. See all the market moves seventy

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Speaker 4: three thousand, that would be the lightest rate.

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Speaker 5: Of the year.

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Speaker 4: You have to go back to October of last year

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Speaker 4: to find a lower non farm pace at forty four thousand.

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Speaker 4: Now the revisions, here's a biggie, the two month revision

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Speaker 4: minus two hundred and fifty eight thousand.

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Speaker 5: That is a biggie a biggie.

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Speaker 4: Average hourly earnings on month to month paces come in

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Speaker 4: as expected, up three tenths. And if we look at

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Speaker 4: year over your perspective, up three point nine, that's important.

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Speaker 4: That's a tenth higher than expected, two tenths higher than

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Speaker 4: the three point seven in the rearview mirror. And that

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Speaker 4: three point seven was the lowest year over year earnings

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Speaker 4: rate going back to mid twenty one. If we look

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Speaker 4: at the hours worked hours work at thirty four point three,

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Speaker 4: that's up a ten.

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Speaker 5: That's a good thing.

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Speaker 4: The unemployment rate moves up a tenth, It moves up

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Speaker 4: a ten from four point one to four point two,

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Speaker 4: and this makes it the one two three, the fourth

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Speaker 4: four point two read of the year. To find a

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Speaker 4: higher reading, you're going way back. You're going all the

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Speaker 4: way back to October of twenty one when it was

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Speaker 4: four point five. Now, if you look at labor force

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Speaker 4: participation comes in a tenth light sixty two point two.

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Speaker 5: That's a tenth light in the rearview mirror.

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Speaker 4: And expectations sixty two point two. To find a lower number,

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Speaker 4: you're going back to the end of twenty two. And finally,

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Speaker 4: the underemployment.

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Speaker 5: Rate, which is called U six.

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Speaker 4: That four point two is called U three seven point

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Speaker 4: nine on the under employment rate, that would equal where

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Speaker 4: we were in March.

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Speaker 2: To find a.

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Speaker 4: Higher one, you're going to February. What's the market doing?

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Speaker 4: The market and interest rates is moving lower. Why is

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Speaker 4: it moving low because of the big revision, would be

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Speaker 4: my guess, and maybe partially due to the light non.

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Speaker 5: Farm, but it is the revision.

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Speaker 4: We have moved down quite a bit. We're at four

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Speaker 4: point thirty two now. Pre number, we were hovering around

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Speaker 4: four thirty nine ish. And if you look at where

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Speaker 4: we said the last week in a ten it was

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Speaker 4: at four thirty nine, so we're now down about seven

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Speaker 4: basis points on the week. A two year last week

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Speaker 4: closed at three ninety three. It is now down ten

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Speaker 4: basis points, and that's after closing at the highest level yesterday.

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Speaker 5: In the Jordan.

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Speaker 4: Since mid June, of course, of this year, preopening equities,

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Speaker 4: they're moving a bit lower, but they haven't made new

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Speaker 4: lows in the Dow futures yet, so we want to

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Speaker 4: monitor that.

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Speaker 6: There's a couple of things we got to remember as

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Speaker 6: we look at this data. One is the fact that

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Speaker 6: these massive downward revisions are not new to this year.

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Speaker 6: The idea that somehow this is because of staffing shortages

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Speaker 6: doesn't explain why we had the massive downward revisions for

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Speaker 6: the last four years. Basically, this is a post COVID

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Speaker 6: data collection problem when it comes to the jobs numbers.

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Speaker 6: In fact, just earlier this week we got the quarterly

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Speaker 6: Business Employment Dynamics report from the Bureau of Labor Statistics,

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Speaker 6: and sure enough that showed that twenty twenty four has

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Speaker 6: another massive overestimation of the number of non farm payrolls.

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Speaker 6: So next year, when we get the annual benchmark report

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Speaker 6: for that twelve month period from March to March, we're

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Speaker 6: going to see another huge annual downward revision. And that's

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Speaker 6: on top of the existing month to month downward revisions

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Speaker 6: that we've already had and that we clearly continue to have.

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Speaker 6: So again the idea that somehow there's something wrong with

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Speaker 6: the data and it just started this year, that's not

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Speaker 6: really new.

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Speaker 2: Again.

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Speaker 6: This is a post COVID problem. The BLS probably needs

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Speaker 6: to seriously rethink all of their models, whether it's whether

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Speaker 6: it's non farm payrolls, inflation, you name it. The other

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Speaker 6: good thing that I on this report, though, is the

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Speaker 6: fact that a lot of the decreases that we've seen

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Speaker 6: are actually coming from the federal government. Since January, non

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Speaker 6: foreign payrolls at the federal level are down eighty four thousand,

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Speaker 6: So they're clearly making good progress in terms of cutting

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Speaker 6: the bureaucracy.

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Speaker 3: This is the climal screen of a dying regime.

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Speaker 7: Pray for our enemies, because we're going to medieval on

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Speaker 7: these people. There's not got a free shot on all

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Speaker 7: these networks lying about the people.

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Speaker 3: The people have had a belly full of it. I

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Speaker 3: know you don't like hearing that. I know you tried

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Speaker 3: to do everything in the world to stop that. But

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Speaker 3: you're not going to stop it. It's going to happen.

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Speaker 3: And where do people like that go to share the

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Speaker 3: big line?

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Speaker 2: Mega media?

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Speaker 6: I wish in my soul, I wish that any of

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Speaker 6: these people had a conscience.

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Speaker 7: Ask yourself, what is my task and what is my purpose?

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Speaker 7: If that answer is to save my country, this country

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Speaker 7: will be saved.

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Speaker 8: WARO.

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Speaker 2: Here's your host, Stephen k Ba.

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Speaker 7: It's Friday, one August. You're of Alert twenty twenty five.

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Speaker 3: Thank you. We got.

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Speaker 7: So much you get to this morning. So let's just

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Speaker 7: cut through the jungle here with the machete. We're gonna

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Speaker 7: have a couple of senators on here. I think about

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Speaker 7: the recess and what we're gonna do about these appointments,

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Speaker 7: going to get update in Texas. I'm gonna have a

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Speaker 7: very special guest come on of EP, the Brazil situation.

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Speaker 7: President Trump hammering hard, Joe Allen, massive news on artificial intelligence.

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Speaker 7: We've got to start with the economy and these job numbers.

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Speaker 7: Joe Vorniate joins us from Treasury, So Joe walkers through.

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Speaker 7: I think what people are most concerned about are not

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Speaker 7: the light number for the month of job pickups versus

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Speaker 7: non farm But it's the revisions, and particularly I think

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Speaker 7: the concern is that we haven't had a lot of

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Speaker 7: time to go through it released, but the fact that

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Speaker 7: it looks like the increases in jobs are coming in healthcare.

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Speaker 7: You let's talk jobs first and then we'll talk terriffsis

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Speaker 7: President Trump last night put out a whole new Uh

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Speaker 7: not a whole new, but really I think threw down hard.

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Speaker 7: We are reordering the world's trading relationships and this is

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Speaker 7: the way it's going to be. And uh, this is

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Speaker 7: very significant because the day's one August when he said

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Speaker 7: everything was going to happen.

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Speaker 3: Let's start with the jobs numbers, sir.

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Speaker 9: Sure, Steve So, yes, the numbers were light relative to

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Speaker 9: what they had been and they were down to revisions.

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Speaker 9: But I want to focus on a couple of the

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Speaker 9: key you know.

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Speaker 2: The good news.

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Speaker 9: Number one is that layoffs are very low. We see

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Speaker 9: that in jobless claims and initial claims are back down

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Speaker 9: to the lowest reading in weeks, so there's very little layoffs.

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Speaker 9: We have the one big, beautiful bill passed. There's certainty

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Speaker 9: on that. You just talked about trade. We've had numerous

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Speaker 9: huge bilateral trade deals with our some of our key

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Speaker 9: trading partners still some more to come.

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Speaker 2: That's a positive.

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Speaker 9: And we've got the capex comeback, and that matters, Steve,

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Speaker 9: because when capex is growing at a decade plus high,

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Speaker 9: that always pressages faster employment. So the data we're on

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Speaker 9: the softer side, but the outlook is great in terms

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Speaker 9: of income creation.

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Speaker 2: We had strong wages.

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Speaker 9: It's important because if we look at the details, all

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Speaker 9: of the job gains year to date have been in

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Speaker 9: native born employment. They're up about two point five million.

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Speaker 9: Foreium born employment, which people use as a proxy for

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Speaker 9: illegal immigration, was actually down a million. So the wage

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Speaker 9: trend will strengthen, a Secretary Besson has said, and President

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Speaker 9: Trump's economic policies now which are being codified, will lead

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Speaker 9: us on a much faster growth trajectory.

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Speaker 2: Steve, but we do.

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Speaker 9: Need lower rates because lower rates will smooth this process

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Speaker 9: to much faster growth. And again President Trump has been

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Speaker 9: proven correct. You need lower interest rates.

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Speaker 7: I agree with all that, and particularly native born versus

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Speaker 7: non native born real wage growth.

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Speaker 3: All of it the.

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Speaker 7: Only caveat I would put, sir, and I realize this

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Speaker 7: administration has taken a very different tact in silicond of

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Speaker 7: valuys taking a very different tact, but traditional your theory

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Speaker 7: of the case on capital expenditures is based on a

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Speaker 7: classical model where capital expenditures add to jobs. I would

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Speaker 7: actually argue that most of this is coming in capital

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Speaker 7: a lot of it, not most of but a lot

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Speaker 7: of it's coming in capital expenditures related to artificial intelligence.

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Speaker 7: And I get a sense that the lightness in some

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Speaker 7: of these numbers you're starting to see not just that

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Speaker 7: you know, not just economy coming out of this horrible

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Speaker 7: Biden ditch, right, but you're also seeing this beginning see

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Speaker 7: the impact of artificial intelligence. And my concern is the

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Speaker 7: big capital expenditure may not lead to the actual employment

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Speaker 7: growth that we anticipate given traditional models of capex to employment.

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Speaker 7: But since so much of this is going into either

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Speaker 7: data center energy for data centers, or in infrastructure around

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Speaker 7: artificial intelligence, we will start to say you will not

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Speaker 7: get the labor pickup you think, particularly in entry level

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Speaker 7: white collar jobs.

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Speaker 3: Any thoughts about that so far?

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Speaker 9: John, I understand that point, Steve, And this is where

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Speaker 9: I think the One Big Beautiful Bill is so innovative

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Speaker 9: in that it actually gives one hundred percent expensing to

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Speaker 9: build those data centers, factories and plans, and what will mean,

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Speaker 9: especially on the skilled labor side where that pertains to

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Speaker 9: a lot of blue collar work, You'll see much faster

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Speaker 9: wage gains because it'll be real employment demand there on

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Speaker 9: the capex side. To hear what you're saying, those are

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Speaker 9: fair points. However, when we look at the data, we

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Speaker 9: are seeing some good growth in non AI related spending,

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Speaker 9: and I do expect that to accelerate. Everything won't be

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Speaker 9: just AI. We've got the codification of those lower marginal

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Speaker 9: rates on capital and labor. So if we get the

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Speaker 9: lower rates we have, money isn't tight, Steve. We're going

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Speaker 9: to be able to get housing costs down, significantly, improve

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Speaker 9: first time affordability which is at an all time low,

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Speaker 9: and everything kind of will multiply and sell feed because

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Speaker 9: the President has set an environment for the economy really

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Speaker 9: to boom, but it needs that loquification to actually grow.

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Speaker 2: Kind of like a garden.

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Speaker 9: A garden needs water, may have good soil and seeds,

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Speaker 9: but it needs it needs more than that.

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Speaker 7: The corporate earnings were very good to great, but the

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Speaker 7: employment numbers are out there. Are you concerned that we're

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Speaker 7: going to have a lot of efficiencies coming to these corporations.

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Speaker 7: They're going to get great top line growth and even

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Speaker 7: earnings growth, but that's going to come at the expense

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Speaker 7: of high value added, high paying jobs.

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Speaker 9: No, Steve, I don't, And I'll tell you why have

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Speaker 9: you worked a long time in Wall Street?

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Speaker 5: I have?

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Speaker 9: You know a lot of the trading now is electronic.

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Speaker 9: And I heard how we're not going to need salesmen

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Speaker 9: and women it doesn't matter. But in reality is if

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Speaker 9: you're good and you add value, those are still very

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Speaker 9: high paying jobs. Well, President Trump is going to create

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Speaker 9: as a much more efficient system. We're seeing you mentioned

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Speaker 9: employment numbers. We're seeing government jobs go by the wayside.

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Speaker 9: You're going to see faster productivity tied to wages. New

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Speaker 9: industries come about, like for example, we talked about the

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Speaker 9: Genius Act, not so much on your show, but how

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Speaker 9: innovative and all these new financial products and things that

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Speaker 9: come down the pipe that will create demand for dollars,

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Speaker 9: create new industries which are coming before our eyes. So

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Speaker 9: I'm optimistic we're going to have high paying jobs, certainly

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Speaker 9: on the blue collar side, but also Steve, on the

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Speaker 9: white collar side. It's just a lot of these industries

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Speaker 9: are in their infancy and we don't know what they're

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Speaker 9: going to spawn, but I'm an optimist.

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Speaker 3: Okay, Joe, Where can people go to your social media?

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Speaker 7: Because I'm sure there's going to be a lot of

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Speaker 7: updates today and in different analysis and perspectives coming from Treasury.

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Speaker 3: Where do people go to follow you guys today?

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Speaker 9: Thank you as always Steve at Lavornanomics and of course

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Speaker 9: at SECT Bessin Secretary Besson as well either well secretary

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Speaker 9: bestent for sure, he's the main man. But you think

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Speaker 9: you could follow me for those that wanted laborian amics

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Speaker 9: And thank you again.

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Speaker 7: You're not a bad wingman though. Good job, good team

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Speaker 7: together over there. Ej Antni's going to join us at eleven.

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Speaker 7: We're also going to talk the until the until the

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Speaker 7: labor number came out. It was really a historic day

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Speaker 7: as President Trump has re ordered the world's global trading system,

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Speaker 7: put out a bunch of new tariff designations last night,

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Speaker 7: et cetera. Summer kicking in today, summer kicking in a

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Speaker 7: couple of weeks, summer kicking in October. But as Joe

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Speaker 7: Leasman said right there last night, I think it was

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Speaker 7: on Stephanie rule. President Trump. We have President Trump has

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Speaker 7: totally reordered the post war international commercial relationships. So we're

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Speaker 7: gonna get to get to all that later with EJ

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Speaker 7: and TONI. We're going to talk about artificial intelligence. James

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Speaker 7: o'keep's going to join us really packed this morning. Birch

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Speaker 7: Gold Now more than ever, you can tell them a

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Speaker 7: day like today, Gold's gonna gonna pop. But it's not

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Speaker 7: about the price of gold. It's about the process of

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Speaker 7: how value is driven by gold as a hedge. That's

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Speaker 7: what you want to learn and you can learn it

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Speaker 7: at at Birch Gold, birch gold dot com, slash Bannon

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Speaker 7: The End of the Dollar Empire, seven free installments. Everything

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Speaker 7: Birch Gold puts out with warrim is all free and ubiquitous,

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Speaker 7: so go check it out to day you talk to

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Speaker 7: Philip Patrick and the team over Birch Gold. Now more

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Speaker 7: than ever, Like I said, you're gonna head a couple

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Speaker 7: of speed bumps along the way and reordering the world's economy.

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Speaker 7: It is the eighty third birthday of Jerry Garcia, so

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Speaker 7: today we're gonna have an honor Jerry Garcia. We're playing

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Speaker 7: at Jerry Garcia's music coming in and going out. Also tonight,

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Speaker 7: I think Dead and Company kick off a three day.

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Speaker 3: Visit.

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Speaker 7: I think it's in San Francisco to uh the park there,

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Speaker 7: the famous, the famous park for the.

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Speaker 5: Still America's Voice family.

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Speaker 2: Are you on Getter yet?

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Speaker 10: No?

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Speaker 3: What are you waiting for?

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Speaker 10: It's free, it's uncensored, and it's where all the biggest

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Speaker 10: voices in conservative media are speaking out.

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Speaker 3: Download the Getter app right now. It's totally free.

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Speaker 7: It's where I put up exclusively all of my content

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Speaker 7: twenty four hours a day.

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Speaker 3: You want to know what Steve Bannon's thinking, Go together.

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Speaker 5: That's right. You can follow all of your faith Steve Bannon.

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Speaker 2: Charlie Kirk, Jack, the Soviet and so many more.

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Speaker 7: Download the Getter app now, Sign up for free and

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Speaker 7: be part of the new band. Okay, we're up on

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Speaker 7: get I'm up on Getter exclusively if you want to

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Speaker 7: see everything I'm putting up on late long and where

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Speaker 7: our thinking's going. And we put up counter arguments and

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Speaker 7: a lot of articles from liberal and progressive publications just

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Speaker 7: so people can understand narrative warfare, what's happening.

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Speaker 3: Go together. It's totally free.

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Speaker 7: Download it it's super easy to use it. That's why

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Speaker 7: I use it, because I'm an idiot in this regard.

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Speaker 3: In it's very, very easy.

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Speaker 7: Joe Allen's joins Joe, especially on the six o'clock show

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Speaker 7: last night, but it got so I did not want

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Speaker 7: to just jam this thing in for Joe because it's

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Speaker 7: too important. And since we've had the jobs report and

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Speaker 7: we're doing some analysis.

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Speaker 3: Right now to make sure that we actually got facts.

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Speaker 7: However, I have a feeling that some of this because

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Speaker 7: you're seeing earnings go up. I mean, we've had great earnings,

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Speaker 7: great earning season so far by and large, but it's

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Speaker 7: light on the employment side.

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Speaker 3: And I think if you go back through these numbers,

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Speaker 3: a lot of those numbers are.

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Speaker 7: Tied to healthcare, which is not a great thing because

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Speaker 7: healthcare has got so much government involvement in it. You

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Speaker 7: want manufacturing increases, manufacturing jobs, all of it. My big

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Speaker 7: concern about the rush to artificial intelligence. It's not up,

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Speaker 7: as Brian Costello say, it's not a productivity model they're

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Speaker 7: using an artificial intelligence. It's an efficiency model that means

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Speaker 7: cutting out bodies, human beings to let artificial intelligence take over.

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Speaker 7: This is why entry level administrative, managerial, and technical jobs.

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Speaker 7: Those three areas I think you're going to have a

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Speaker 7: great impact over I think two months ago when we

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Speaker 7: kind of profiled it Axios Jim Vanderhay particularly, we're talking

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Speaker 7: about the white collar apocalypse.

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Speaker 3: Coming from AI.

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Speaker 7: I'm not saying today shows it, but there's got to

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Speaker 7: be some reason for the softness here, and we're going

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Speaker 7: to work throughout the day and tomorrow to get to

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Speaker 7: the bottom of it, particularly on the revisions, which are

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Speaker 7: pretty big.

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Speaker 3: Joe Allen, here's what we're going to explain.

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Speaker 7: I want to play the cold open of yours because

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Speaker 7: you've had two individuals already at the leading edge of

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Speaker 7: this come out and say that AGI artificial general intelligence,

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Speaker 7: at least the way I take that, they're saying, is

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Speaker 7: a thing that is going to be coming.

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Speaker 3: Quite soon, much sooner than people thought.

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Speaker 11: Is that your interpretation, Steve, Yeah, The most aggressive predictions

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Speaker 11: are basically spreading like wildfire across San Francisco where the

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Speaker 11: tech hub is. You know, no one has any idea

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Speaker 11: what's going to be spit out. The other end of

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Speaker 11: say open Aiyes, current project to produce GPT five, but

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Speaker 11: you're hearing again and again and again from Sam Altman,

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Speaker 11: Mark Zuckerberg, Eric Schmidt. This promise that AGI is imminent.

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Speaker 11: If they're wrong, then this is the most egregious and

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Speaker 11: ridiculous bubble that anyone has yet pulled off. If they're right,

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Speaker 11: then what they're talking about basically is creating a little

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Speaker 11: G God in a box, a system that will basically

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Speaker 11: replace every intellectual job on the planet. Maybe not in

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Speaker 11: a day, but every single one of them seem to

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Speaker 11: have this vision that either you will be forced to

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Speaker 11: use these systems, which is already happening in corporations and

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Speaker 11: schools across the world, or you'll be out, You'll be replaced,

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Speaker 11: you won't be cognitively effective in the new digital ecosystem

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Speaker 11: if you don't, in essence, merge with the AI. Just

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Speaker 11: beyond that, of course, they promise superintelligence. As the AGI

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Speaker 11: begins to improve itself, then the belief that they have

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Speaker 11: and as they scale these systems up, the belief is

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Speaker 11: that they'll create something that is basically a big g

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Speaker 11: God in a box. It looks an awful lot like

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Speaker 11: a UFO cult to me, Steve. They're promising an alien

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Speaker 11: intelligence that is superior to humanity that will arrive any

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Speaker 11: day now to relieve us of our toil and perhaps

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Speaker 11: even our physical bodies themselves.

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Speaker 7: If it was an AI, if it was a one

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Speaker 7: of these cults, and you did I think you did

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Speaker 7: a meme about this, which is quite powerful. It was

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Speaker 7: just a UFO cult, It wouldn't have an impact or

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Speaker 7: matter in people's daily lives. This is about to overwhet

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Speaker 7: not have an impact on your life. This is going

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Speaker 7: to overwhelm every aspect of your life right and actually

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Speaker 7: change your life and probably change your life pretty dramatically.

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Speaker 7: Let's play we have the cold. Let's you had put

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Speaker 7: together a video for us. Let's go and show that

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Speaker 7: and I'll bring you back.

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Speaker 12: We are building something profound. This is a kind of

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Speaker 12: brain for the world. It'll be personal, adaptable, it'll be

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Speaker 12: easy to use. It'll give people incredible superpowers that were

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Speaker 12: sort of science fiction only a couple of years ago.

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Speaker 10: Okay, so we believe as an industry that in the

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Speaker 10: next one year, the vast majority of programmers will be

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Speaker 10: replaced by AI programmers.

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Speaker 13: It probably would look like what you might consider a

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Speaker 13: very attractive extraterrestrial.

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Speaker 14: What I think an even more meaningful impact in our lives.

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Speaker 14: Is going to come from everyone having a personal superintelligence

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Speaker 14: that helps you achieve your goals, create what you want

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Speaker 14: to see in the world, be a better friend, and

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Speaker 14: grow to become the person that you aspire to be.

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Speaker 13: Insects or slimy reptilians or eyes so big that you

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Speaker 13: could fall into them.

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Speaker 10: One way to say this is that within three to

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Speaker 10: five years, we'll have what is called general intelligence AGI,

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Speaker 10: which can be defined as a system that is as

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Speaker 10: smart as the smartest mathematician and physicist. You know, our artist, writer, thinker, politician.

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Speaker 4: The people of open Ai, Google, Meta and countless startups

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Speaker 4: are proving once again that America is impossible.

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Speaker 3: You are just impossible to be.

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Speaker 14: I want to talk about our new effort, Meta Superintelligence Labs,

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Speaker 14: in our vision to build personal superintelligence for everyone.

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Speaker 13: The only real extraterrestrials have a body similar to human body.

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Speaker 12: So now we're starting to look ahead to superintelligence, and

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Speaker 12: even more than before, our focus must be on wide

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Speaker 12: and fair access.

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Speaker 10: What happens when every single one of us has the

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Speaker 10: equivalent of the smartest human on every problem in our pocket.

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Speaker 14: I think that personal devices like glasses can see what

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Speaker 14: we see here, what we hear and interact with us

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Speaker 14: throughout the day. Are going to become our main computing devices.

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Speaker 10: In the next year or two. This foundation is being

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Speaker 10: locked in, and it's not We're not going to stop it.

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Speaker 10: It gets much more interesting after that, because remember, the

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Speaker 10: computers are now doing self improvement. They're learning how to plan,

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Speaker 10: and they don't have to listen to us anymore. We

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Speaker 10: call that super intelligence or ASI artificial superintelligence, and this

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Speaker 10: is the theory that there will be computers that are

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Speaker 10: smarter than the sum of humans. The San Francisco Convinced

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Speaker 10: consensuses this occurs within six years.

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Speaker 13: When the end of that occurs, then they have reached

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Speaker 13: a condition of having overcome human behavior, human thinking, human desires,

441
00:22:49,280 --> 00:22:53,160
Speaker 13: desiring only to be in the kingdom of heaven, in

442
00:22:53,200 --> 00:22:54,920
Speaker 13: the evolutionary level above human.

443
00:22:55,080 --> 00:22:57,680
Speaker 12: This is a kind of brain for the world. It'll

444
00:22:57,680 --> 00:23:00,000
Speaker 12: be personal, adaptable, it'll be easy to use. It'll get

445
00:23:00,080 --> 00:23:03,680
Speaker 12: people incredible superpowers that were sort of science fiction only

446
00:23:03,720 --> 00:23:04,640
Speaker 12: a couple of years ago.

447
00:23:06,560 --> 00:23:08,679
Speaker 7: If we I think we need to recut that for

448
00:23:08,800 --> 00:23:11,000
Speaker 7: after the break, because I just want to have Altman

449
00:23:11,160 --> 00:23:14,119
Speaker 7: and Zuckerberg next to each other. I wanted to have

450
00:23:14,200 --> 00:23:16,280
Speaker 7: those If we can do that. If our crack team

451
00:23:16,280 --> 00:23:18,639
Speaker 7: can do that, cut out everything else. Uh, you had

452
00:23:18,680 --> 00:23:21,600
Speaker 7: the uf UFO cult guy in there, and it's very

453
00:23:21,880 --> 00:23:24,880
Speaker 7: powerful because it's he sounds like the same level. Look

454
00:23:24,920 --> 00:23:31,359
Speaker 7: crazy or I shouldn't say crazy, you know not, he's

455
00:23:31,359 --> 00:23:38,960
Speaker 7: not rational. However, they're sending they're sending a very big

456
00:23:39,000 --> 00:23:40,919
Speaker 7: signal right now, Joe, And that's what we need to

457
00:23:40,920 --> 00:23:45,560
Speaker 7: focus on. They're telling us something different. Schmid's thing was

458
00:23:45,600 --> 00:23:47,920
Speaker 7: from a little while ago, right the other two three

459
00:23:47,960 --> 00:23:51,080
Speaker 7: months for the last twenty four hours three months ago.

460
00:23:51,400 --> 00:23:52,560
Speaker 3: He's also signaling.

461
00:23:53,359 --> 00:23:56,680
Speaker 7: He's signaling there there, there, he's signaling what's going to happen.

462
00:23:56,680 --> 00:23:59,000
Speaker 3: He said right there about the about the.

463
00:24:00,560 --> 00:24:02,840
Speaker 7: You know about the programmers, which I keep saying, you know,

464
00:24:02,960 --> 00:24:04,679
Speaker 7: learn to code. Whether that's not going to be that

465
00:24:04,760 --> 00:24:08,639
Speaker 7: relevant anymore, since coding was like learning Sanskrit, and you

466
00:24:08,680 --> 00:24:11,399
Speaker 7: had a bunch of kind of average coders or good coders,

467
00:24:11,400 --> 00:24:12,919
Speaker 7: and there was the people got jobs, and then you

468
00:24:12,920 --> 00:24:16,000
Speaker 7: had the Einstein's, you know, the handful of Einstein's up here.

469
00:24:17,600 --> 00:24:21,520
Speaker 7: And Joe Lavagnier took a crack at answering the question.

470
00:24:21,560 --> 00:24:23,239
Speaker 7: He took a crack at answering the question, and his

471
00:24:23,280 --> 00:24:26,080
Speaker 7: response was, Hey, this capital expenditure is gonna We're gonna

472
00:24:26,080 --> 00:24:28,520
Speaker 7: build data centers, We're gonna build this technology, We're gonna

473
00:24:28,520 --> 00:24:30,480
Speaker 7: build this and you're gonna have a lot of blue

474
00:24:30,480 --> 00:24:31,040
Speaker 7: collar jobs.

475
00:24:31,040 --> 00:24:34,360
Speaker 3: He's absolutely correct. The construction of this and the UH

476
00:24:34,760 --> 00:24:35,520
Speaker 3: and all that.

477
00:24:35,520 --> 00:24:38,960
Speaker 7: Is going to have a big boost on blue collar

478
00:24:39,600 --> 00:24:42,800
Speaker 7: you know, that skill set, the skill set of people

479
00:24:42,800 --> 00:24:45,199
Speaker 7: that work with their hands and their heads and know

480
00:24:45,200 --> 00:24:50,760
Speaker 7: how to make things. However, the real question I was

481
00:24:50,760 --> 00:24:53,000
Speaker 7: asking is on the other side, is that coming or not?

482
00:24:53,160 --> 00:24:55,080
Speaker 3: And what is disturbing.

483
00:24:56,720 --> 00:24:59,160
Speaker 7: To me anyway, is that in the last twenty four

484
00:24:59,160 --> 00:25:00,919
Speaker 7: hours we've had Altman.

485
00:25:00,800 --> 00:25:03,640
Speaker 3: And in Zuckerberg, and Zuckerberg.

486
00:25:04,640 --> 00:25:07,400
Speaker 7: Is you know, he's now putting out contracts to try

487
00:25:07,440 --> 00:25:10,879
Speaker 7: to get the AI superstars at levels of you know,

488
00:25:10,920 --> 00:25:14,200
Speaker 7: signing people to one hundred million dollar contracts. There's clearly

489
00:25:14,400 --> 00:25:16,680
Speaker 7: something Joe, take a minute here before we go to break.

490
00:25:17,000 --> 00:25:19,399
Speaker 7: There's clearly something up of what they're seeing in the

491
00:25:19,400 --> 00:25:24,440
Speaker 7: Frontier labs because they're conditioning us now for a big

492
00:25:24,480 --> 00:25:28,760
Speaker 7: development that is upon us. Do I interpret that correctly, sir?

493
00:25:29,760 --> 00:25:31,320
Speaker 2: One of two things are happening there, Steve.

494
00:25:31,440 --> 00:25:34,360
Speaker 11: Either they're conditioning us for what's about to be released

495
00:25:34,640 --> 00:25:37,840
Speaker 11: from Open AI, or conditioning us to believe at the

496
00:25:37,920 --> 00:25:40,320
Speaker 11: very least that these companies have this and are using

497
00:25:40,359 --> 00:25:43,919
Speaker 11: it internally, or it's a major flaw.

498
00:25:44,080 --> 00:25:45,320
Speaker 2: It wouldn't be the first time.

499
00:25:45,760 --> 00:25:49,600
Speaker 11: But certainly they can't keep promising that AGI is imminent

500
00:25:50,000 --> 00:25:53,520
Speaker 11: and never produce either the bubble pops or they unleash

501
00:25:53,720 --> 00:25:56,360
Speaker 11: some sort of bizarre digital demon upon the world.

502
00:25:56,440 --> 00:25:59,439
Speaker 3: I know, I I don't know. They haven't.

503
00:25:59,600 --> 00:26:04,320
Speaker 7: They have promoted that AGI is here. We've always heard

504
00:26:04,359 --> 00:26:06,720
Speaker 7: he just said the consensus was six years away.

505
00:26:07,520 --> 00:26:09,680
Speaker 3: I don't think we'll take a break. I don't think

506
00:26:09,720 --> 00:26:10,440
Speaker 3: I haven't.

507
00:26:10,160 --> 00:26:12,600
Speaker 7: Heard that they've said, Oh, AGI is upon us and

508
00:26:12,640 --> 00:26:14,360
Speaker 7: we're going to have it in the next six months.

509
00:26:14,800 --> 00:26:17,520
Speaker 7: It's always been to me, it's been in the out years, three, four,

510
00:26:17,640 --> 00:26:20,399
Speaker 7: five or six years. Anyway, we've got Joe Allen's here.

511
00:26:21,280 --> 00:26:26,200
Speaker 7: It's the eighty third birthday of Jerry Garcia. I heard

512
00:26:26,720 --> 00:26:32,160
Speaker 7: at Golden Gate Park. But Billy Strings is gonna open,

513
00:26:32,560 --> 00:26:35,240
Speaker 7: is going to open this four hundred There's four hundred

514
00:26:35,320 --> 00:26:37,800
Speaker 7: thousand people heading there.

515
00:26:39,359 --> 00:26:41,359
Speaker 3: This is like the electric kool Aid ass a test.

516
00:26:41,600 --> 00:26:44,359
Speaker 7: Anyway, short commercial break.

517
00:26:44,920 --> 00:26:45,880
Speaker 3: Joe Allen on the other.

518
00:26:45,800 --> 00:27:01,880
Speaker 8: Side, us your Stephen k bas.

519
00:27:04,359 --> 00:27:07,159
Speaker 7: So with everything going, everything else going on today, we're

520
00:27:07,200 --> 00:27:09,760
Speaker 7: gonna get to that because there's a lot. We've got

521
00:27:09,800 --> 00:27:11,840
Speaker 7: to get to this, because there's been a signal sent

522
00:27:11,880 --> 00:27:13,840
Speaker 7: to us in the last twenty four hours.

523
00:27:15,080 --> 00:27:17,359
Speaker 3: And this is not Elon. First of all, these people

524
00:27:17,359 --> 00:27:17,960
Speaker 3: are freaks.

525
00:27:18,359 --> 00:27:22,520
Speaker 7: Okay, they've been throughout mankind's recorded history, they've been two things.

526
00:27:22,560 --> 00:27:25,440
Speaker 7: Gold's been a hedge and these people have been social outcast.

527
00:27:26,160 --> 00:27:28,320
Speaker 7: Go back and read any history you want. They've been

528
00:27:28,320 --> 00:27:33,320
Speaker 7: social outcasts. Now they're essentially running things because they're doing

529
00:27:33,400 --> 00:27:35,520
Speaker 7: things that may be irreversible.

530
00:27:38,359 --> 00:27:38,880
Speaker 3: The uh.

531
00:27:38,960 --> 00:27:42,000
Speaker 7: And this is not Elon Musk, who's all remember his

532
00:27:42,080 --> 00:27:46,120
Speaker 7: whole concept is to sprinkle pixie dust on something. Right,

533
00:27:46,200 --> 00:27:49,000
Speaker 7: If Tesla's gonna there, it's gonna be the change everything

534
00:27:49,000 --> 00:27:50,920
Speaker 7: with cars. When that doesn't work out, the cyber trucks

535
00:27:50,920 --> 00:27:53,720
Speaker 7: doesn't sell, he sprinkles more pixie dust. It's gonna be

536
00:27:53,760 --> 00:27:55,679
Speaker 7: something else. We're gonna go to the we're gonna go

537
00:27:55,720 --> 00:27:57,840
Speaker 7: to the moon. We're gonna expand human consciousness.

538
00:27:57,840 --> 00:27:59,520
Speaker 3: It's pixie dust. You know.

539
00:27:59,560 --> 00:28:03,040
Speaker 7: He's a t barnum, he's a promoter. Look don't get

540
00:28:03,040 --> 00:28:05,720
Speaker 7: me wrong, great engineer has done some extraordinary things, but

541
00:28:05,760 --> 00:28:09,879
Speaker 7: at heart he's a promoter. These other two guys, as

542
00:28:09,960 --> 00:28:13,760
Speaker 7: screwed up as they are, haven't traditionally been to Zuckerberg

543
00:28:13,960 --> 00:28:16,840
Speaker 7: more so, but Altman not. Let's play have we cut

544
00:28:16,840 --> 00:28:17,160
Speaker 7: it yet?

545
00:28:17,200 --> 00:28:17,920
Speaker 3: And we will have it?

546
00:28:18,040 --> 00:28:21,560
Speaker 7: If we don't, we'll get to it moment. Okay, let's

547
00:28:21,560 --> 00:28:23,120
Speaker 7: go in and play. I want to play that recut.

548
00:28:23,160 --> 00:28:25,440
Speaker 7: Your thing was brilliant, and particularly the way you put

549
00:28:25,440 --> 00:28:30,040
Speaker 7: in was that the Heaven's Gate cult that you intercut

550
00:28:30,040 --> 00:28:31,280
Speaker 7: it with Joe.

551
00:28:31,040 --> 00:28:33,760
Speaker 2: Allen Marshall Applewhite.

552
00:28:33,800 --> 00:28:36,200
Speaker 11: I think Marshall apple White will stand as a symbol

553
00:28:36,320 --> 00:28:40,200
Speaker 11: of American novelty and also a warning for what happens

554
00:28:40,240 --> 00:28:43,200
Speaker 11: when you drink the kool aid. Without a doubt, it

555
00:28:43,200 --> 00:28:48,280
Speaker 11: would appear that Altman and Zuckerberg and Schmidt have drank

556
00:28:48,320 --> 00:28:52,040
Speaker 11: the kool aid. They believe this super intelligence is incoming.

557
00:28:52,520 --> 00:28:56,280
Speaker 11: It is an alien intelligence. They're literally talking about a

558
00:28:56,360 --> 00:28:59,880
Speaker 11: being smarter than every human on earth, and they're direct

559
00:29:00,160 --> 00:29:03,800
Speaker 11: the public's attention to this as the new authority on

560
00:29:03,880 --> 00:29:08,080
Speaker 11: what is and isn't true, what is and isn't good.

561
00:29:09,240 --> 00:29:11,520
Speaker 7: What's most shocking, too, is they have the exact same

562
00:29:11,600 --> 00:29:15,200
Speaker 7: I mean, it's just the same resemblance, the same blank

563
00:29:15,280 --> 00:29:18,080
Speaker 7: looks to avoid of humanity.

564
00:29:18,160 --> 00:29:21,920
Speaker 11: When they addressed you when we reported on Zuckerberg, you

565
00:29:21,960 --> 00:29:24,160
Speaker 11: brought up a great point that he had to have

566
00:29:24,200 --> 00:29:27,640
Speaker 11: had a marketing team put all that together and coach

567
00:29:27,720 --> 00:29:30,240
Speaker 11: him through the whole thing. Altman would have had the same.

568
00:29:30,280 --> 00:29:33,360
Speaker 11: I think we've cracked the code. I'm pretty certain that

569
00:29:33,400 --> 00:29:35,840
Speaker 11: they were looking at those old Heaven's Gate videos and

570
00:29:35,840 --> 00:29:39,280
Speaker 11: they're like, this worked, maybe it can work on millions

571
00:29:39,360 --> 00:29:41,440
Speaker 11: or even billions.

572
00:29:42,440 --> 00:29:44,760
Speaker 7: Okay, well, hang on, we've recut the video. So let's

573
00:29:44,760 --> 00:29:47,160
Speaker 7: just see Altman and this is This has taken place

574
00:29:47,200 --> 00:29:50,080
Speaker 7: in the last twenty four hours, correct before.

575
00:29:50,120 --> 00:29:53,560
Speaker 11: The Altman video just surfaced yesterday. I can't find the

576
00:29:53,600 --> 00:29:56,000
Speaker 11: source on it surfaced on Reddit, but I believe it's

577
00:29:56,000 --> 00:30:00,800
Speaker 11: addressing Norway. The context indicates as a video addressing Norway

578
00:30:00,840 --> 00:30:04,280
Speaker 11: trying to get them on board probably the Project Stargate

579
00:30:04,440 --> 00:30:09,400
Speaker 11: expansion and to believe that superintelligence is coming.

580
00:30:13,000 --> 00:30:16,280
Speaker 7: So there's a message coming from these two guys, let's

581
00:30:16,280 --> 00:30:16,840
Speaker 7: go and play it.

582
00:30:17,680 --> 00:30:20,000
Speaker 12: We are building something profound. This is a kind of

583
00:30:20,040 --> 00:30:23,200
Speaker 12: brain for the world. It'll be personal, adaptable, it'll be

584
00:30:23,200 --> 00:30:26,200
Speaker 12: easy to use. It'll give people incredible superpowers that were

585
00:30:26,520 --> 00:30:28,640
Speaker 12: sort of science fiction only a couple of years ago.

586
00:30:28,880 --> 00:30:31,400
Speaker 14: I think an even more meaningful impact in our lives

587
00:30:31,520 --> 00:30:34,720
Speaker 14: is going to come from everyone having a personal superintelligence

588
00:30:35,000 --> 00:30:37,520
Speaker 14: that helps you achieve your goals, create what you want

589
00:30:37,560 --> 00:30:39,800
Speaker 14: to see in the world, be a better friend, and

590
00:30:39,840 --> 00:30:41,960
Speaker 14: grow to become the person that you aspire to be.

591
00:30:42,080 --> 00:30:44,280
Speaker 14: I want to talk about our new effort met US

592
00:30:44,280 --> 00:30:48,640
Speaker 14: Superintelligence Labs, in our vision to build personal super intelligence

593
00:30:48,680 --> 00:30:49,200
Speaker 14: for everyone.

594
00:30:49,280 --> 00:30:51,720
Speaker 12: So now we're starting to look ahead to superintelligence, and

595
00:30:51,880 --> 00:30:54,520
Speaker 12: even more than before, our focus must be on wide

596
00:30:54,520 --> 00:30:55,320
Speaker 12: and fair access.

597
00:30:55,440 --> 00:30:58,360
Speaker 14: I think that personal devices like glasses that can see

598
00:30:58,360 --> 00:31:00,920
Speaker 14: what we see, hear what we hear, and interact with

599
00:31:01,000 --> 00:31:03,440
Speaker 14: us throughout the day are going to become our main

600
00:31:03,480 --> 00:31:05,320
Speaker 14: computing devices, kind of.

601
00:31:05,240 --> 00:31:08,400
Speaker 12: Brain for the world. It'll be personal, adaptable, it'll be

602
00:31:08,400 --> 00:31:11,360
Speaker 12: easy to use. It'll give people incredible superpowers that were

603
00:31:11,720 --> 00:31:13,880
Speaker 12: sort of science fiction only a couple of years ago.

604
00:31:16,160 --> 00:31:20,360
Speaker 7: This is artificial general intelligence, is the combination of all

605
00:31:20,360 --> 00:31:20,520
Speaker 7: of it.

606
00:31:20,520 --> 00:31:22,640
Speaker 3: It's the ultimate goal here. That is what they consider

607
00:31:22,680 --> 00:31:24,120
Speaker 3: the singularity.

608
00:31:23,800 --> 00:31:26,640
Speaker 7: And now they are directly tying it back to you personally.

609
00:31:26,680 --> 00:31:27,320
Speaker 3: That you're going to have.

610
00:31:27,600 --> 00:31:32,600
Speaker 7: It's not going to be some macro just governments, intelligence services.

611
00:31:33,000 --> 00:31:35,680
Speaker 7: The selling point is, no, you're going to have it

612
00:31:35,720 --> 00:31:38,560
Speaker 7: like you have an automobile, you have a refrigerator. They're

613
00:31:38,560 --> 00:31:40,400
Speaker 7: selling these like they sold TVs back in the.

614
00:31:40,440 --> 00:31:41,800
Speaker 3: Nineteen fifties and sixties.

615
00:31:42,640 --> 00:31:46,240
Speaker 7: You can tell that they're quite nervous about overall acceptance

616
00:31:46,240 --> 00:31:46,480
Speaker 7: of this.

617
00:31:46,520 --> 00:31:47,400
Speaker 3: From the humans.

618
00:31:47,800 --> 00:31:49,800
Speaker 7: Right, so now they're going to sell you on the

619
00:31:49,840 --> 00:31:53,040
Speaker 7: fact that the superintelligence is going to bring out all

620
00:31:53,080 --> 00:31:54,640
Speaker 7: your latent superpowers.

621
00:31:54,760 --> 00:31:58,160
Speaker 11: Joe Allen, Well, if you look at what's happening right now,

622
00:31:58,480 --> 00:32:02,400
Speaker 11: Meta has long been behind on artificial intelligence. They were

623
00:32:02,400 --> 00:32:05,640
Speaker 11: big promoters of open sourcing. Their model LAMA is one

624
00:32:05,640 --> 00:32:08,560
Speaker 11: of the most downloaded open sourced.

625
00:32:08,160 --> 00:32:09,000
Speaker 2: AIS there is.

626
00:32:09,040 --> 00:32:14,800
Speaker 11: But their chief AI scientist, Jan Lucuhn, he always poo

627
00:32:14,880 --> 00:32:18,840
Speaker 11: pooed the idea that AGI is coming. It's impossible that

628
00:32:18,880 --> 00:32:21,240
Speaker 11: it's going to come by way of llms. You can't

629
00:32:21,280 --> 00:32:23,840
Speaker 11: just keep building bigger and bigger data centers, he said,

630
00:32:24,120 --> 00:32:27,160
Speaker 11: to make bigger AIS to create AGI.

631
00:32:27,200 --> 00:32:28,600
Speaker 2: It had to be some other method.

632
00:32:28,960 --> 00:32:33,400
Speaker 11: Well, Zuckerberg, watching all these frontier AI models rocket ahead

633
00:32:33,400 --> 00:32:38,280
Speaker 11: of him, decided that he would begin his super intelligence labs.

634
00:32:38,520 --> 00:32:43,080
Speaker 11: He brought on Andrew or Alexander Wang, who was previously

635
00:32:43,120 --> 00:32:47,240
Speaker 11: at Scale AI, the billionaire boy genius, to run the

636
00:32:47,280 --> 00:32:51,200
Speaker 11: super intelligence labs. And I think that Zuckerberg right now

637
00:32:51,320 --> 00:32:54,800
Speaker 11: is in the sales phase. He's saying, our company, along

638
00:32:54,960 --> 00:32:59,360
Speaker 11: with having three point five billion users, along with already

639
00:32:59,400 --> 00:33:03,000
Speaker 11: having people who are addicted to these AI companions, along

640
00:33:03,080 --> 00:33:08,240
Speaker 11: with the steadily increasing usage of these bizarre self surveillance

641
00:33:08,280 --> 00:33:11,400
Speaker 11: glasses that watch everything that you watch and hear everything

642
00:33:11,440 --> 00:33:14,720
Speaker 11: that you hear that they meta, will be able to

643
00:33:14,760 --> 00:33:17,400
Speaker 11: create this big G god in a box.

644
00:33:17,720 --> 00:33:19,680
Speaker 2: I don't say that flippantly either.

645
00:33:19,920 --> 00:33:22,440
Speaker 11: When I say that they're talking about creating little g

646
00:33:22,600 --> 00:33:27,200
Speaker 11: gods with artificial general intelligence and big g gods with superintelligence,

647
00:33:27,240 --> 00:33:30,040
Speaker 11: I mean exactly that. How else are you to interpret

648
00:33:30,400 --> 00:33:34,400
Speaker 11: some being to which everyone turns for the truth, and

649
00:33:34,480 --> 00:33:38,960
Speaker 11: which is in everyone's hand or on everyone's foreheads.

650
00:33:39,400 --> 00:33:42,920
Speaker 7: We're we're gonna have Look, there's someone in the demon.

651
00:33:43,040 --> 00:33:46,640
Speaker 7: Let me be blunt. There's someone in the demon. And

652
00:33:46,680 --> 00:33:49,120
Speaker 7: you've got pilunteer with the surveillance. You got the health

653
00:33:49,160 --> 00:33:52,000
Speaker 7: of the data we gotta get. So, Joe, here's what

654
00:33:52,040 --> 00:33:53,960
Speaker 7: I want to do I want to go have you

655
00:33:54,000 --> 00:33:55,640
Speaker 7: go back to work here and come back and join

656
00:33:55,680 --> 00:33:58,880
Speaker 7: me in the five to seven hour and I'm going

657
00:33:58,960 --> 00:34:00,760
Speaker 7: to do some work to say after noon, and you

658
00:34:00,800 --> 00:34:02,440
Speaker 7: and I are going to put our heads together and

659
00:34:02,480 --> 00:34:04,160
Speaker 7: we're going to be a little We're gonna be even

660
00:34:04,240 --> 00:34:07,520
Speaker 7: more sharply focused on this this evening because there is

661
00:34:07,560 --> 00:34:09,520
Speaker 7: a lot going on here and a lot of it

662
00:34:09,560 --> 00:34:10,480
Speaker 7: is not great.

663
00:34:11,040 --> 00:34:12,120
Speaker 3: Just a lot of it's not great.

664
00:34:12,400 --> 00:34:15,160
Speaker 7: Uh, if you have if we're if we achieve artificial

665
00:34:15,160 --> 00:34:19,160
Speaker 7: general intelligence, I don't know next hundred days, next six months. Uh,

666
00:34:19,239 --> 00:34:22,640
Speaker 7: the world is not ready for that. Societal structures are

667
00:34:22,680 --> 00:34:26,040
Speaker 7: not ready for that. Just not ready for it. And

668
00:34:26,120 --> 00:34:27,680
Speaker 7: if they're not ready for it, trust me, it will

669
00:34:27,719 --> 00:34:30,320
Speaker 7: be put to bad use. Joe Allen, where do people

670
00:34:30,320 --> 00:34:30,560
Speaker 7: get you?

671
00:34:30,600 --> 00:34:31,120
Speaker 2: In the interim?

672
00:34:31,160 --> 00:34:32,640
Speaker 3: Your social media? All of it.

673
00:34:34,280 --> 00:34:36,920
Speaker 11: Social media at Joe b o t x y z,

674
00:34:37,200 --> 00:34:40,440
Speaker 11: website Joe bott dot x y z. And in about

675
00:34:40,560 --> 00:34:43,160
Speaker 11: an hour and a half, if the audience is interested

676
00:34:43,560 --> 00:34:46,600
Speaker 11: the AI and Faith Summit, I'll be answering the questions.

677
00:34:46,719 --> 00:34:49,160
Speaker 11: Is AI the will of God, the work of the devil,

678
00:34:49,520 --> 00:34:51,160
Speaker 11: or the mere tinkering of man?

679
00:34:53,360 --> 00:34:55,759
Speaker 7: Yeah, that's gonna be you're going to go on at noon.

680
00:34:55,800 --> 00:34:57,960
Speaker 7: We're going to stream that, so Grace and Moe, I

681
00:34:58,000 --> 00:35:00,920
Speaker 7: think we're on that, AI and Faith, we're going to

682
00:35:01,000 --> 00:35:04,640
Speaker 7: have all that, Joe with your your talk and your

683
00:35:04,680 --> 00:35:06,400
Speaker 7: your Q and A. So we look forward to seeing it.

684
00:35:06,440 --> 00:35:12,680
Speaker 7: That's a twelve noon basically, sir, twelve forty yes, twelve

685
00:35:12,760 --> 00:35:14,960
Speaker 7: forty perfect, so two hours so okay, great, we'll be

686
00:35:14,960 --> 00:35:16,919
Speaker 7: on top of it and then I'll talk to this afternoon.

687
00:35:16,640 --> 00:35:17,120
Speaker 3: Joe Allen.

688
00:35:18,160 --> 00:35:18,399
Speaker 2: Thanks.

689
00:35:18,400 --> 00:35:23,839
Speaker 7: You see, James O'Keefe has warned us, as he's done

690
00:35:23,880 --> 00:35:27,920
Speaker 7: so so many times with this undercover his undercover investigations.

691
00:35:28,000 --> 00:35:28,560
Speaker 3: Let's go and play.

692
00:35:28,600 --> 00:35:30,440
Speaker 7: We've got an opening video from James, and we'll bring

693
00:35:30,520 --> 00:35:31,160
Speaker 7: James O'Keeffe in.

694
00:35:31,840 --> 00:35:33,799
Speaker 3: Do you know when the ice rates are going to?

695
00:35:34,000 --> 00:35:34,239
Speaker 13: Yeah?

696
00:35:34,320 --> 00:35:40,200
Speaker 10: And so my organization runs a couple of databases where

697
00:35:40,200 --> 00:35:42,200
Speaker 10: we can see like ice.

698
00:35:41,960 --> 00:35:44,040
Speaker 13: Trends, like where they're keeping.

699
00:35:43,800 --> 00:35:46,120
Speaker 3: People, where they like moving people around.

700
00:35:46,400 --> 00:35:48,800
Speaker 12: We keep track of everything.

701
00:35:48,440 --> 00:35:52,880
Speaker 10: That's happening with ice as much as like information as I'll.

702
00:35:52,719 --> 00:35:55,320
Speaker 12: Give us sum together information.

703
00:35:55,640 --> 00:35:56,480
Speaker 2: He's your main donor.

704
00:35:57,040 --> 00:36:01,480
Speaker 5: It's usually in our foundations like it's found or.

705
00:36:03,600 --> 00:36:08,120
Speaker 8: Definitely so like several of these like humge collaboratives who

706
00:36:08,320 --> 00:36:10,000
Speaker 8: have millions.

707
00:36:09,640 --> 00:36:12,000
Speaker 5: Of dollars and VERA is proud of their work.

708
00:36:12,320 --> 00:36:17,000
Speaker 15: Santiago Luke candidly shared how VERA created notification systems to

709
00:36:17,200 --> 00:36:22,280
Speaker 15: alert illegals of ICE agents and impending raids these organizations.

710
00:36:22,440 --> 00:36:26,480
Speaker 12: At worst, they could be setting up ICE officers to

711
00:36:26,520 --> 00:36:28,960
Speaker 12: be put into dangerous situations where.

712
00:36:28,719 --> 00:36:29,520
Speaker 13: They are are.

713
00:36:32,120 --> 00:36:34,120
Speaker 7: James Okeeith joins us James, is this one of the

714
00:36:34,120 --> 00:36:37,800
Speaker 7: reasons we're struggling a little bit to do the mass

715
00:36:37,960 --> 00:36:42,000
Speaker 7: to kick into the mass deportation part of this now

716
00:36:42,000 --> 00:36:43,800
Speaker 7: that we have one hundred and seventy billion dollars and

717
00:36:44,880 --> 00:36:48,160
Speaker 7: a supply chain logistic system being built, is is this

718
00:36:48,239 --> 00:36:51,120
Speaker 7: the NGOs with databases a lot of funding that are

719
00:36:51,200 --> 00:36:53,600
Speaker 7: essentially thwarting the will of the American people.

720
00:36:53,719 --> 00:36:56,200
Speaker 5: Sir, Hey, Steve, good to be with you.

721
00:36:56,400 --> 00:36:59,040
Speaker 15: Yes, this appears to be a violation of federal law

722
00:36:59,120 --> 00:37:03,279
Speaker 15: specifically titled US Code thirteen seventy four. And I think

723
00:37:03,320 --> 00:37:05,319
Speaker 15: the key quote from this guy who works for a

724
00:37:05,320 --> 00:37:09,280
Speaker 15: nonprofit is he says, quote, if you see someone from ICE,

725
00:37:09,440 --> 00:37:11,759
Speaker 15: you can text the group and it'll go on a

726
00:37:11,760 --> 00:37:15,440
Speaker 15: website and illegal aliens can avoid the area unquote. So

727
00:37:15,440 --> 00:37:19,320
Speaker 15: they're actually deploying alert systems to notify them of approaching

728
00:37:19,360 --> 00:37:20,960
Speaker 15: Ice Ray. Now they are going to say, well, they're

729
00:37:21,000 --> 00:37:23,200
Speaker 15: just informing people, But that's the issue.

730
00:37:23,239 --> 00:37:26,160
Speaker 5: It's an obstruction of justice issue. And what's also.

731
00:37:26,040 --> 00:37:29,080
Speaker 15: Interesting, Steve, is that he actually names donors, and he says,

732
00:37:29,080 --> 00:37:32,440
Speaker 15: Bezos and Gates. We looked at their nine to ninety

733
00:37:32,440 --> 00:37:34,320
Speaker 15: tax return. It doesn't say a name on there, but

734
00:37:34,360 --> 00:37:37,759
Speaker 15: it's one hundred and eighty eight million dollars from one

735
00:37:37,840 --> 00:37:41,360
Speaker 15: person to this nonprofit. But it's very that you actually

736
00:37:41,360 --> 00:37:44,240
Speaker 15: get to see that admission where they're actually creating notifications

737
00:37:44,640 --> 00:37:45,800
Speaker 15: for illegal immigrants.

738
00:37:47,800 --> 00:37:50,319
Speaker 3: What's the serving also, I mean it was very sophisticated.

739
00:37:50,360 --> 00:37:53,000
Speaker 7: He said they had eight separate databases they could check

740
00:37:53,120 --> 00:37:57,000
Speaker 7: immediately and put out alerts. Does that come from their

741
00:37:57,000 --> 00:37:59,359
Speaker 7: ability to people give them one hundred and eighty million

742
00:37:59,400 --> 00:38:01,960
Speaker 7: dollars so they had that type of capital investment, they

743
00:38:01,960 --> 00:38:03,799
Speaker 7: can get access to those databases.

744
00:38:05,400 --> 00:38:05,640
Speaker 5: Yes.

745
00:38:05,719 --> 00:38:07,920
Speaker 15: What's also disturbing and I didn't know this, Steve, but

746
00:38:08,080 --> 00:38:11,120
Speaker 15: he admits that the government had given him money and

747
00:38:11,160 --> 00:38:14,600
Speaker 15: in twenty twenty three they got three hundred and fifty

748
00:38:14,680 --> 00:38:18,880
Speaker 15: million dollars from Health and Human Services three hundred and fifty.

749
00:38:18,960 --> 00:38:21,920
Speaker 15: The United States government is funding that, or was funding

750
00:38:21,960 --> 00:38:25,000
Speaker 15: this one hundred and seventy one excuse me, from a

751
00:38:25,000 --> 00:38:26,360
Speaker 15: Department of Health and Human Services.

752
00:38:26,360 --> 00:38:29,040
Speaker 5: So now they're getting funding from we believe it's.

753
00:38:28,960 --> 00:38:33,160
Speaker 15: Mackenzie Bezos, not Jeff Bezos, Bezos' ex wife.

754
00:38:34,120 --> 00:38:37,279
Speaker 5: After that divorce, she got a lot of capital to

755
00:38:37,280 --> 00:38:37,799
Speaker 5: go fund this.

756
00:38:38,239 --> 00:38:41,440
Speaker 15: But what's what's specifically outrageous about this is they're actually

757
00:38:41,440 --> 00:38:45,760
Speaker 15: they have texting groups and notification systems, and then and then.

758
00:38:45,640 --> 00:38:46,719
Speaker 5: This is this is new too.

759
00:38:46,760 --> 00:38:49,919
Speaker 15: The DOJ has issued a statement, the DHS has issued

760
00:38:49,960 --> 00:38:51,840
Speaker 15: a statement saying.

761
00:38:51,560 --> 00:38:53,120
Speaker 5: That they're going to prosecute Steve.

762
00:38:53,480 --> 00:38:56,600
Speaker 15: We'll see, but we've got a statement from the White House,

763
00:38:56,760 --> 00:39:01,360
Speaker 15: DJ and DHS saying they are going to quote take

764
00:39:01,480 --> 00:39:05,480
Speaker 15: action their ice law enforcement already faces eight hundred percent

765
00:39:05,880 --> 00:39:10,120
Speaker 15: increase and assaults against them after what's happening shielding criminals

766
00:39:10,160 --> 00:39:10,720
Speaker 15: from justice.

767
00:39:12,760 --> 00:39:16,800
Speaker 7: Are you they have they debriefed as either DOJ or

768
00:39:17,000 --> 00:39:21,440
Speaker 7: DHS debriefed your investigative reporter, yet for all the details,

769
00:39:21,480 --> 00:39:24,520
Speaker 7: I mean, are you guys being is your material being

770
00:39:24,640 --> 00:39:27,520
Speaker 7: used to actually correct this?

771
00:39:27,520 --> 00:39:30,040
Speaker 15: This is a statement from DHS. I would love that,

772
00:39:30,160 --> 00:39:33,400
Speaker 15: By the way, I hope for that. It's rare that

773
00:39:33,400 --> 00:39:35,279
Speaker 15: we get a statement from the White House, Department of

774
00:39:35,400 --> 00:39:38,520
Speaker 15: Justice and DHS, but they said, quote, our brave this

775
00:39:38,560 --> 00:39:40,680
Speaker 15: is last night. Our brave ice officers a getting the

776
00:39:40,719 --> 00:39:44,120
Speaker 15: worst of the worst by telegraphing operations. Not only are

777
00:39:44,160 --> 00:39:47,200
Speaker 15: they shielding criminals from justice, they're putting our law enforcement

778
00:39:47,280 --> 00:39:50,880
Speaker 15: in harm's way as they target highly sophisticated gangs. Our

779
00:39:50,920 --> 00:39:53,680
Speaker 15: ice law enforcement already faces eight hundred percent and assaults

780
00:39:53,680 --> 00:39:54,200
Speaker 15: against them.

781
00:39:54,600 --> 00:39:56,320
Speaker 5: We are going to take action.

782
00:39:57,840 --> 00:40:01,080
Speaker 15: So this appears to be obstruction of just they're saying,

783
00:40:01,120 --> 00:40:03,800
Speaker 15: they're informing. They have a first miment right to inform,

784
00:40:03,840 --> 00:40:07,800
Speaker 15: but this kind of may cross that legal line. Steve,

785
00:40:07,960 --> 00:40:10,600
Speaker 15: and you know, I know your audience feels this way.

786
00:40:10,600 --> 00:40:14,080
Speaker 15: My audience is pissed off. I keep reporting this stuff.

787
00:40:14,600 --> 00:40:17,120
Speaker 15: I report every undercover port every week. I'll have one

788
00:40:17,160 --> 00:40:20,520
Speaker 15: next week. But no one is arrested or ever held accountable.

789
00:40:21,000 --> 00:40:24,200
Speaker 15: So certainly that's the issue. I don't have the power

790
00:40:24,239 --> 00:40:26,480
Speaker 15: to arrest anybody, but I hope.

791
00:40:26,239 --> 00:40:27,640
Speaker 2: That they hang on.

792
00:40:28,200 --> 00:40:31,240
Speaker 7: Yeah, just stick around for a second, because the audience

793
00:40:31,320 --> 00:40:34,600
Speaker 7: is already all over this. Because we've got to pivot

794
00:40:34,640 --> 00:40:37,640
Speaker 7: to the mass deportation face and this is absolutely.

795
00:40:37,120 --> 00:40:41,680
Speaker 3: Obstruction of a federal law. Right, short commercial break.

796
00:40:41,719 --> 00:40:44,920
Speaker 7: Jerry Garcia will take us out, James, so Keith will

797
00:40:44,920 --> 00:40:46,120
Speaker 7: bring us back in a moment.

798
00:40:47,600 --> 00:40:50,240
Speaker 2: He may be the fate of all.

799
00:40:53,160 --> 00:40:58,120
Speaker 6: Sleeping stream.

800
00:40:59,280 --> 00:41:01,600
Speaker 3: Use your Stephen k back.

801
00:41:05,840 --> 00:41:08,759
Speaker 7: So James, James, I got you staying over because you're

802
00:41:08,760 --> 00:41:10,919
Speaker 7: one of the great warriors. I mean, come on, man,

803
00:41:11,560 --> 00:41:14,319
Speaker 7: you do the best investigative work out there.

804
00:41:14,840 --> 00:41:16,719
Speaker 3: This is not a small thing. This is a huge thing.

805
00:41:16,800 --> 00:41:22,400
Speaker 7: It shows you that these NGOs backed by these oligarch billionaires.

806
00:41:23,000 --> 00:41:25,040
Speaker 7: Oh did I mention that these are the people in

807
00:41:25,040 --> 00:41:27,759
Speaker 7: the back of AI. Two folks, guarantee. I'm guarantee you

808
00:41:27,840 --> 00:41:31,360
Speaker 7: one thing. This job's report and particularly the recasting is

809
00:41:31,520 --> 00:41:33,640
Speaker 7: very much tied to artificial intelligence. Now a lot of

810
00:41:33,640 --> 00:41:35,160
Speaker 7: people are maybe going to try to spin it.

811
00:41:35,160 --> 00:41:35,600
Speaker 3: Oh it's not.

812
00:41:36,160 --> 00:41:39,480
Speaker 7: You can see these great earnings reports and no job creation.

813
00:41:40,000 --> 00:41:43,080
Speaker 7: You're gonna hear this restatement. This AI is literally out

814
00:41:43,120 --> 00:41:45,319
Speaker 7: of control. You're summoning the demon. And here you've got

815
00:41:45,320 --> 00:41:47,600
Speaker 7: a situation where we have all these databases, you have

816
00:41:47,680 --> 00:41:50,320
Speaker 7: these NGOs. You see the guy in the video, another

817
00:41:50,440 --> 00:41:53,800
Speaker 7: bad ombra, right, and they're kind of laughing at you.

818
00:41:53,840 --> 00:41:56,520
Speaker 7: They're laughing in your face because had these oligarch billionaires

819
00:41:56,560 --> 00:42:00,279
Speaker 7: are the divorced wives of the billionaires, the oligarchs in

820
00:42:00,400 --> 00:42:03,840
Speaker 7: hundreds of millions of dollars to make sure that illegal

821
00:42:03,920 --> 00:42:07,720
Speaker 7: alien invaders are not mass deport And let's be honest,

822
00:42:07,760 --> 00:42:09,640
Speaker 7: the mass deportations were kind of hung over. And now

823
00:42:09,640 --> 00:42:12,040
Speaker 7: we're still getting bad on brees out. But they're throwing

824
00:42:12,120 --> 00:42:15,640
Speaker 7: up every legal challenge and we haven't pivoted hard to

825
00:42:15,800 --> 00:42:17,640
Speaker 7: the ten to twenty million that got to go.

826
00:42:18,000 --> 00:42:20,239
Speaker 3: If they don't go in over country, we haven't.

827
00:42:20,280 --> 00:42:21,799
Speaker 7: We can build all the walls we want, we can

828
00:42:21,800 --> 00:42:24,120
Speaker 7: stop them all from coming in, and that's been extraordinary

829
00:42:24,360 --> 00:42:26,200
Speaker 7: what President Trump has done. But you have to have

830
00:42:26,239 --> 00:42:31,319
Speaker 7: mass deportations. And James O'Keefe, you are basically telling the

831
00:42:31,440 --> 00:42:34,680
Speaker 7: Justice Department at DHS, we're not going to have mass

832
00:42:34,760 --> 00:42:38,719
Speaker 7: deportations until this problem's taken care of. Right, this is

833
00:42:38,719 --> 00:42:40,560
Speaker 7: got that we can't mess around with this. They got

834
00:42:40,600 --> 00:42:42,319
Speaker 7: you got to be and you're in DC. You should

835
00:42:42,360 --> 00:42:44,239
Speaker 7: be over there being interviewed by these people right now.

836
00:42:44,280 --> 00:42:45,360
Speaker 3: Any investigative reporter.

837
00:42:45,480 --> 00:42:48,480
Speaker 7: All the footage, all the footage stood, and then they

838
00:42:48,480 --> 00:42:50,439
Speaker 7: should go in and bust this thing up. That guy

839
00:42:50,440 --> 00:42:53,000
Speaker 7: in that video should be arrested this afternoon, and his

840
00:42:53,080 --> 00:42:54,640
Speaker 7: superiors and the people.

841
00:42:54,360 --> 00:42:56,600
Speaker 3: That wrote him a check, they ought to go purp walk.

842
00:42:56,960 --> 00:43:00,960
Speaker 7: If it's Bezos's divorced wife McKenzie, they got to go.

843
00:43:01,239 --> 00:43:03,560
Speaker 7: You know, she's in between husbands right now, they got

844
00:43:03,560 --> 00:43:04,680
Speaker 7: to go purp walk her.

845
00:43:04,840 --> 00:43:05,080
Speaker 3: Sir.

846
00:43:06,680 --> 00:43:08,680
Speaker 15: Well, I'm in DC right now, Steve about to meet

847
00:43:08,719 --> 00:43:11,200
Speaker 15: with a cabinet level official on another story. I'm dropping

848
00:43:11,320 --> 00:43:14,359
Speaker 15: very soon, and I hope the DOJ prosecutes that guy.

849
00:43:14,400 --> 00:43:16,120
Speaker 15: But the direct quote I want to reiter write to

850
00:43:16,120 --> 00:43:19,000
Speaker 15: your audience. Quote This is from an NGO director who

851
00:43:19,000 --> 00:43:21,560
Speaker 15: has now deleted his LinkedIn and his ex account.

852
00:43:21,640 --> 00:43:22,080
Speaker 5: Quote.

853
00:43:22,280 --> 00:43:25,360
Speaker 15: If you see someone from ICE, you can text the

854
00:43:25,440 --> 00:43:27,880
Speaker 15: group and it'll go on a website so that illegals

855
00:43:28,080 --> 00:43:32,440
Speaker 15: can avoid the area. That seems to be way beyond informing.

856
00:43:32,600 --> 00:43:36,239
Speaker 15: That seems to go to obstruction. And the NGO, the nonprofit,

857
00:43:36,360 --> 00:43:39,600
Speaker 15: denies that they're doing that. He says they're doing it,

858
00:43:39,680 --> 00:43:42,080
Speaker 15: so now he's leading all his social media accounts. The

859
00:43:42,200 --> 00:43:45,920
Speaker 15: DHS has said they're going to take action quote unquote,

860
00:43:46,040 --> 00:43:48,360
Speaker 15: I don't know what that means, but people need to

861
00:43:48,360 --> 00:43:49,520
Speaker 15: be arrested, Steve Bannon.

862
00:43:49,560 --> 00:43:52,160
Speaker 5: I've been arrested multiple times. You've been arrested.

863
00:43:52,680 --> 00:43:55,359
Speaker 15: It seems like they always arrest the people who are

864
00:43:55,600 --> 00:43:58,279
Speaker 15: reporting on this stuff, not the people who are doing it.

865
00:43:58,440 --> 00:43:58,640
Speaker 2: Yep.

866
00:44:00,120 --> 00:44:03,160
Speaker 7: Well, between this and the UH and and all the

867
00:44:03,200 --> 00:44:06,680
Speaker 7: revolutions coming out on the Tulsa Gabbard treason, this conspiracy

868
00:44:06,680 --> 00:44:08,759
Speaker 7: which they're manifold, we're gonna get to the next hour.

869
00:44:09,200 --> 00:44:10,640
Speaker 3: UH, Okeef, you're a warrior.

870
00:44:11,239 --> 00:44:11,359
Speaker 15: UH.

871
00:44:11,520 --> 00:44:13,080
Speaker 7: I will make sure as soon as I'm off the show,

872
00:44:13,160 --> 00:44:15,360
Speaker 7: the people, the contacts I have, You've got to be

873
00:44:15,480 --> 00:44:18,480
Speaker 7: talked to, interviewed. This thing with the NGOs and being

874
00:44:18,480 --> 00:44:22,600
Speaker 7: supported this is a direct UH thwarting of the will

875
00:44:22,640 --> 00:44:24,840
Speaker 7: of the American people, what they voted for. This is

876
00:44:24,960 --> 00:44:28,279
Speaker 7: anti democratic and it's got to be stopped. James, all

877
00:44:28,320 --> 00:44:30,200
Speaker 7: your different investigations.

878
00:44:29,520 --> 00:44:29,920
Speaker 2: We're.

879
00:44:31,920 --> 00:44:34,200
Speaker 7: Uh, go ahead. Where do people go to contact you?

880
00:44:34,239 --> 00:44:37,359
Speaker 7: Where they contact you? Where the social media? Your website

881
00:44:37,719 --> 00:44:39,680
Speaker 7: for Okeefe Media group, where they go.

882
00:44:40,080 --> 00:44:44,359
Speaker 15: Omg o'keefemediagroup dot com. We're also a nonprofit, but there's

883
00:44:44,400 --> 00:44:47,760
Speaker 15: our number on the on the website contact us and Steve,

884
00:44:47,800 --> 00:44:50,760
Speaker 15: I promise we're working on some major things right now

885
00:44:51,320 --> 00:44:54,280
Speaker 15: at various agencies, including the I R S and other agencies,

886
00:44:54,320 --> 00:44:56,920
Speaker 15: and and and if people don't get arrested, I'm going

887
00:44:57,000 --> 00:45:00,239
Speaker 15: to start investigating the people who are refusing to rest

888
00:45:00,320 --> 00:45:03,120
Speaker 15: these people because I've got some stuff that's insane. I'm

889
00:45:03,120 --> 00:45:05,960
Speaker 15: in DC, Steve, So if you have contacts for me

890
00:45:06,000 --> 00:45:08,440
Speaker 15: to meet with a message me offline. I'd love to

891
00:45:08,840 --> 00:45:10,959
Speaker 15: I'd love to get some accountability going.

892
00:45:12,600 --> 00:45:14,000
Speaker 7: Yeah, no, I'm gonna call you as soon as the

893
00:45:14,480 --> 00:45:16,400
Speaker 7: let me get catch my breath, as soon as the

894
00:45:16,400 --> 00:45:19,440
Speaker 7: show's over, and I'm going to call you because you

895
00:45:19,440 --> 00:45:22,480
Speaker 7: know you're not too far You're not too far wrong

896
00:45:22,600 --> 00:45:25,520
Speaker 7: that we need to see movement now when you deliver

897
00:45:25,640 --> 00:45:28,120
Speaker 7: the type of things you're delivering right there, which shows

898
00:45:28,120 --> 00:45:32,120
Speaker 7: you there's a cabal of oligarchs and their cash.

899
00:45:31,880 --> 00:45:32,960
Speaker 3: With these NGOs.

900
00:45:33,000 --> 00:45:35,720
Speaker 7: And look the NGOs and you mentioned took the government

901
00:45:35,760 --> 00:45:38,799
Speaker 7: money during Biden's time and work part of it work

902
00:45:38,880 --> 00:45:41,919
Speaker 7: to suppress the free media. The rest of it worked

903
00:45:41,960 --> 00:45:46,320
Speaker 7: to exacerbate and work with this invasion of the country.

904
00:45:46,440 --> 00:45:48,560
Speaker 7: We have never had ten to twenty million people in here.

905
00:45:48,560 --> 00:45:50,680
Speaker 7: If the NGOs want a major part of it, they're

906
00:45:50,719 --> 00:45:52,719
Speaker 7: just working the other side of the street. Right now,

907
00:45:52,920 --> 00:45:54,960
Speaker 7: they're still doing the same thing. They're trying to protect

908
00:45:54,960 --> 00:45:58,959
Speaker 7: They here's the folks. They think they can wait us out.

909
00:45:59,280 --> 00:46:01,600
Speaker 7: They said, yeah, one he came back. It was great,

910
00:46:01,640 --> 00:46:03,680
Speaker 7: he did some stuff. But they're going to weigh us out.

911
00:46:03,800 --> 00:46:05,759
Speaker 7: Their whole point is to weigh us out, and that's

912
00:46:05,800 --> 00:46:07,160
Speaker 7: how they're going to do with these NGOs.

913
00:46:07,160 --> 00:46:08,359
Speaker 3: So this is a huge thing.

914
00:46:08,760 --> 00:46:10,880
Speaker 7: It's got to be addressed. And you're absolutely correct. If

915
00:46:10,920 --> 00:46:12,799
Speaker 7: people are going to take action things, then they have

916
00:46:12,840 --> 00:46:14,800
Speaker 7: to be held accountable. We've got to hold people accountable.

917
00:46:14,840 --> 00:46:17,160
Speaker 7: They are in positions of power and can do things.

918
00:46:17,160 --> 00:46:19,000
Speaker 7: So James, thank you so much for doing it. Your

919
00:46:19,239 --> 00:46:23,640
Speaker 7: investigative work is always top level and cuts to the

920
00:46:23,640 --> 00:46:24,640
Speaker 7: heart of the matter.

921
00:46:24,880 --> 00:46:25,520
Speaker 3: So thank you, sir.

922
00:46:26,000 --> 00:46:27,640
Speaker 5: One warrior to another, Thank you.

923
00:46:27,600 --> 00:46:34,600
Speaker 3: Steve, Thank you brother, appreciate you. We don't need statements.

924
00:46:34,880 --> 00:46:37,000
Speaker 7: What you need to do is get O'Keefe and the

925
00:46:37,080 --> 00:46:41,880
Speaker 7: reporter in with all the footage, see it all, and

926
00:46:41,920 --> 00:46:43,719
Speaker 7: then let's go go roll. First of all, they go

927
00:46:43,719 --> 00:46:45,920
Speaker 7: to kick down the door of wherever this place is.

928
00:46:46,160 --> 00:46:48,720
Speaker 7: Have the reporter, yeah this boom, kick down the door

929
00:46:49,520 --> 00:46:52,439
Speaker 7: to put them all, cuff them all, take them down,

930
00:46:52,960 --> 00:46:56,200
Speaker 7: throw them in a patty wagon, take them down, you know,

931
00:46:56,239 --> 00:47:00,120
Speaker 7: take them downtown, book them, let him stay down the

932
00:47:00,320 --> 00:47:02,040
Speaker 7: h you know, if it's in New York, I'm staying

933
00:47:02,040 --> 00:47:04,000
Speaker 7: the tombs for a couple of nights.

934
00:47:04,239 --> 00:47:07,560
Speaker 3: And then figured out if.

935
00:47:08,040 --> 00:47:10,800
Speaker 7: Either it's not gonna stop until you make it stop.

936
00:47:12,200 --> 00:47:14,120
Speaker 7: You can't play nice with these people. You see what

937
00:47:14,120 --> 00:47:18,279
Speaker 7: they're doing right there, and and remember these databases they

938
00:47:18,320 --> 00:47:19,080
Speaker 7: want to dos.

939
00:47:19,600 --> 00:47:21,120
Speaker 3: Uh, the ICE officers.

940
00:47:21,840 --> 00:47:23,239
Speaker 7: This is one of the reasons is very tough to

941
00:47:23,400 --> 00:47:26,040
Speaker 7: recruit for Customs and Borders, very tough to recruit for

942
00:47:26,080 --> 00:47:28,640
Speaker 7: ICE because they want to threaten these people's lives, and

943
00:47:28,719 --> 00:47:32,399
Speaker 7: their children's lives, and their homes, all of it. This

944
00:47:32,440 --> 00:47:33,880
Speaker 7: is why you're not This is why you have to

945
00:47:33,920 --> 00:47:37,280
Speaker 7: be masked if you're a nice officer. There is a massive,

946
00:47:37,680 --> 00:47:43,560
Speaker 7: massive resistance to this, and it's funded by the same

947
00:47:43,600 --> 00:47:48,319
Speaker 7: groups that are funding Mom Danny Mom Danny in New

948
00:47:48,400 --> 00:47:52,880
Speaker 7: York City. It's that green it's the Marxists and radical hottis.

949
00:47:53,960 --> 00:47:59,000
Speaker 7: And here you have these billionaires or the expouses of billionaires.

950
00:47:59,000 --> 00:47:59,560
Speaker 3: Can't figure it.

951
00:47:59,680 --> 00:48:02,279
Speaker 7: You know, they've run through a couple of boy toys,

952
00:48:02,320 --> 00:48:04,080
Speaker 7: so now they want to you know, have be social

953
00:48:04,239 --> 00:48:08,360
Speaker 7: justice warriors and they're gonna write big checks and support

954
00:48:08,400 --> 00:48:11,680
Speaker 7: this crap. Go in and tear it down immediately and

955
00:48:11,760 --> 00:48:15,040
Speaker 7: arrest them, put them in jail. If you want to

956
00:48:15,080 --> 00:48:18,319
Speaker 7: stop it, let's stop it. Don't need a statement, let's

957
00:48:18,360 --> 00:48:23,759
Speaker 7: just go do it. Action, action, action, a lot of

958
00:48:23,800 --> 00:48:27,160
Speaker 7: action down in Texas. Action on recess, action on recisions,

959
00:48:27,160 --> 00:48:31,920
Speaker 7: the three r's, everything's grinding right understand, President, they put

960
00:48:31,920 --> 00:48:33,920
Speaker 7: in another ten to be nominated. I'm not sure that's

961
00:48:33,920 --> 00:48:35,880
Speaker 7: good enough. Just called recess and let President Trump do

962
00:48:35,960 --> 00:48:39,680
Speaker 7: recess appointments. We're gonna have e. J and Tony here

963
00:48:39,719 --> 00:48:42,360
Speaker 7: on the math. We're gonna have Senator Tumberville's going to

964
00:48:42,480 --> 00:48:44,680
Speaker 7: join us. I think we're going to get Senator Mike Lee.

965
00:48:45,040 --> 00:48:48,600
Speaker 7: We've got a special guest from Brazil. We're making everybody

966
00:48:48,600 --> 00:48:52,479
Speaker 7: as we go along on the commemoration Jerry Garcia's eighty

967
00:48:52,520 --> 00:48:53,720
Speaker 7: third birthday here in the world,