Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George
Speaker 1: Washington Broadcast Center, Jack Armstrong and Shoe, Ketty.
Speaker 2: Armstrong and Jetty and he Armstrong and Yetty.
Speaker 3: Elon Musk, who has been at President Trump's side seen
Speaker 3: in the West Wing, now speaking out against Trump's plan
Speaker 3: Trump announcing a five hundred billion dollar artificial intelligence project,
Speaker 3: Musk now saying the money isn't there. The White House
Speaker 3: now saying listen to Trump.
Speaker 2: Not Musk. Oh, does the media love the idea of
Speaker 2: perhaps being able to drive a wedge between Trump and
Speaker 2: Musk because it's so scary. Oh, I saw a headline
Speaker 2: about that today, something about the oligarchy or whatever the hell.
Speaker 1: Oh, for goodness, says halload of crap, And honestly, and
Speaker 1: it's funny. I was listening to another podcast. Turns out
Speaker 1: there is another one. I've had it shut down by
Speaker 1: Trump because ours should be the only one. But and
Speaker 1: the question they were asking panel guys was, how long
Speaker 1: do you think before there's a rift between Trump and Elon?
Speaker 1: Two Alpha dogs? Is too many in the same room?
Speaker 1: And they're like, oh, not for a long time, blah
Speaker 1: blah blah. I don't know I'm not as optimistic. I
Speaker 1: just wonder how long it can last.
Speaker 2: Axiosi's headline today, America doesn't have a king, but we're
Speaker 2: dancing close to king like power, and they get into
Speaker 2: Trump and Elon running the world together.
Speaker 1: Dancing close to King like Power is the title of
Speaker 1: my new electronica album, Altho Way coming out Friday.
Speaker 4: That's really exciting. It drops Friday, It drops Friday.
Speaker 2: What was I gonna say, Elon? Well, Alpha, I don't.
Speaker 2: I don't even know what that term means anymore. But
Speaker 2: Elon seems to let things roll off him because he can.
Speaker 2: I mean, say whatever you want. The world's rich, just
Speaker 2: man by like double.
Speaker 4: Exactly. How you hurt me with your scathing words? Yeah, exactly.
Speaker 1: So there are a couple of really interesting Elon related conflicts.
Speaker 4: So the fact that he poo pooed the big.
Speaker 1: Announcement by Open Ai and soft Bank in Oracle like
Speaker 1: an hour after Trump was touting it as a wonderful,
Speaker 1: wonderful thing. That's not cool in any organization. And I
Speaker 1: think it's part of his autism spectrum thing. He just
Speaker 1: he doesn't. He doesn't because I deal with this on
Speaker 1: a regular basis. He doesn't get regular communication flow. He
Speaker 1: doesn't get the the what is the right term both
Speaker 1: physical and verbal signals that most people understand and get.
Speaker 1: People on the spectrum oftentimes don't understand. And I think
Speaker 1: he's one of those people. Yeah, yeah, there's some truth
Speaker 1: to that. I think how much is impossible to know
Speaker 1: from a distance. But I also think there is a
Speaker 1: bit of an element of we're talking business and finance
Speaker 1: and technology. With all due respect, mister hotel and golf
Speaker 1: course builder, I'm the best in the world at this.
Speaker 1: So you don't tell me what to say and what
Speaker 1: not to say about business and technology. Well, yeah, you
Speaker 1: gotta believe there's some element of that.
Speaker 2: Well, then he shouldn't have that job because you serve
Speaker 2: at the pleasure of the president, and the president's of
Speaker 2: the boss. Marco Ruby is not going to agree with
Speaker 2: all of Trump's foreign policy decisions. But you either resign
Speaker 2: or you carry out the boss's desires.
Speaker 1: Right, You've explained exactly why I believe what I believe
Speaker 1: that it's going to crack up.
Speaker 2: So you don't think he's going to go along with
Speaker 2: the boss the way Marco Rubio probably is.
Speaker 1: Yeah, I don't think he can I don't. I don't
Speaker 1: think it's part of his being.
Speaker 4: I don't. It would be too weird and uncomfortable for him.
Speaker 1: But anyway, I hope they do wonderful work while they're
Speaker 1: going at it, and I want to talk about that for.
Speaker 2: The next forty eight hours, two forty years.
Speaker 4: I don't know. I don't know.
Speaker 1: Uh, it's it's it's fire, it's a oil in water,
Speaker 1: though not oil and water.
Speaker 4: It's tea and whatever. The end is a better way
Speaker 4: to go.
Speaker 1: Yeah, but something explosive anyway, uh dur oh. So getting
Speaker 1: back to Elon Musk versus Sam Altman the catfight, this
Speaker 1: is where it gets really because Elon Musk said of
Speaker 1: the Giant Data Center announcement, they don't have the money.
Speaker 4: Uh.
Speaker 1: He was saying, they have a fraction of the money.
Speaker 1: They're talking about. This is this They're they're way over
Speaker 1: selling this thing. Again, like an hour and a half
Speaker 1: after the President had just touted it, Trump said, this
Speaker 1: will include the construction of colossal data center's massive structures.
Speaker 1: These buildings, big beautiful buildings are going to employ a
Speaker 1: lot of people.
Speaker 4: And then Elon says, well, he said essentially what I said.
Speaker 1: They don't have a fraction of the money they're gonna need,
Speaker 1: so his comments set off a war of words on
Speaker 1: his own media platform. X Altman initially sounded a conciliatory note,
Speaker 1: saying I genuinely respect your accomplishments and think you are
Speaker 1: the most inspiring entrepreneur of our time, and then he
Speaker 1: later posted that Musk's comments about SoftBank's funding were wrong,
Speaker 1: the first data centers already underway and quote, I realized
Speaker 1: what is great for the country isn't always what's optimal
Speaker 1: for your companies. But in your new role, I hope
Speaker 1: you'll mostly put America first.
Speaker 2: WHOA. Musk fired back with a string of posts that
Speaker 2: was all part of the same post or was that
Speaker 2: different posts? That was a little later, Okay, so okay,
Speaker 2: because I was going to say you can't start with
Speaker 2: the handy and then immediately jump to that.
Speaker 4: But they're different.
Speaker 1: Oh wow, Oh anyway, so that was later. Musk fired
Speaker 1: back with a string of posts. Wednesday, he repeated criticisms
Speaker 1: vaultman open Ai, saying it's fake to one user's tweet
Speaker 1: citing the Stargate announcement. The Stargate announcement tweet elon Musk
Speaker 1: said it's fake. This is two days or a day
Speaker 1: after the President touted it as being wonderful.
Speaker 2: Okay, I'm completely in your camp. Now it's gonna crack up.
Speaker 2: There's no another tweet saying Sam is a swindler. All right,
Speaker 2: Well that's too bad. I'm not happy about this. I
Speaker 2: usually am happy about this sort of thing because I
Speaker 2: like I like rich, powerful, famous people at each other.
Speaker 2: But I don't like this one. I'd rather these people
Speaker 2: could work together.
Speaker 1: Musk also retweeted a post showing a photo of what
Speaker 1: appeared to be a drug pipe and a baggy of
Speaker 1: powder under the caption leaked image of the research tool
Speaker 1: open AI used to come up with their five hundred
Speaker 1: billion dollar number for stargate.
Speaker 2: That's funny, Yes, that's pretty fund The level of you know,
Speaker 2: it's a coarse term, but the level of no fs
Speaker 2: to give you have when you're the world rich, just
Speaker 2: mad is something nobody's ever seen. Mefore you just cash
Speaker 2: out your thoughts about everything on a regular basis.
Speaker 1: Yeah, clearly, clearly true. So a little more technology, government
Speaker 1: and cat fighting that I found interesting. Oh that's right,
Speaker 1: then I've got like the important scientific thing. Anyway, Leaks
Speaker 1: are beginning to leak about the excuse me the conflict
Speaker 1: between Elon Musk and Vivey Kramaswami in Doge, the cover
Speaker 1: story being Hey, I'm going to run for governor of
Speaker 1: Ohio is going to take my time, And I guess
Speaker 1: Elon was more about cutting spending viveke who was more
Speaker 1: about cutting regulations. Honestly, it's tough to pick a favorite there.
Speaker 1: They're both huge priorities. So you got peanut butter in
Speaker 1: my chocolate? Why can't why can't they fit together?
Speaker 4: Exactly?
Speaker 1: But some of the leaks are saying, though the claim
Speaker 1: is there is no hard feelings, the leaks are saying that, yeah,
Speaker 1: every meeting you have, if they comes in and he
Speaker 1: weighs in with strong opinions on everything.
Speaker 2: Wait, and the guy's just obnoxious. He doesn't seem like
Speaker 2: that kind of guy.
Speaker 1: Oh wait, yeah, I know that that rapid fire of
Speaker 1: hyper confident manner of speaking that he has. Yeah, look,
Speaker 1: he's a he's a very very bright guy and has
Speaker 1: been very successful.
Speaker 4: He's very rich. He's worth listening to. But man, he's
Speaker 4: hard to take.
Speaker 2: You know, it's interesting. I've only known a handful of
Speaker 2: people like this in my life that I've ever like
Speaker 2: actually got to be in meetings with or whatever. But
Speaker 2: if you ever have, you know, I mean they dominate
Speaker 2: the room, and I mean they they feel like they should,
Speaker 2: they feel like they need to and usually nobody ever
Speaker 2: says anything to them. I've never been in a room
Speaker 2: where there's two of them. I don't know what that
Speaker 2: would be like. I've been in plenty of rooms where
Speaker 2: there's one of them and everybody has to sit there
Speaker 2: and listen to them go on, and they say some
Speaker 2: stuff that's clearly bs and they tell you boring stories,
Speaker 2: but everybody just nods and laughs because they're the big dog.
Speaker 2: And I've been in luck, but I've never been in
Speaker 2: a room where there's two of those people. And I
Speaker 2: don't know what that would look like. And I'm sure
Speaker 2: Elon and Viveaik was one of those situations, and.
Speaker 1: That was one of the other leaks that it was
Speaker 1: really starting to annoy Elon.
Speaker 2: Well, especially if you've been that way your whole life,
Speaker 2: every meeting you're in, little by little over your life,
Speaker 2: you got used to everybody sits there and listens to
Speaker 2: you and is amazed by your stories and laughs at
Speaker 2: your jokes, and then all of a sudden, you're in
Speaker 2: a room where somebody's like, now, my stories and jokes
Speaker 2: are good. Your suck. I mean, that's got to be
Speaker 2: quite shocking to those people.
Speaker 4: Yeah. Yeah.
Speaker 1: I was chatting with a friend who was a CEO
Speaker 1: of a company and retired. He had a very successful
Speaker 1: business career, and I was talking about a function we're
Speaker 1: at where somebody was very long winded, very I mean,
Speaker 1: like everybody was just praying to get on with it.
Speaker 1: And I already that it was not a funeral. And
Speaker 1: I'm being vague because these are all very nice people,
Speaker 1: but the person had a career where people had to
Speaker 1: listen to them. And I was saying, there's an enormous
Speaker 1: contrast between somebody who for an entire career had people
Speaker 1: who had to listen to them and somebody like me,
Speaker 1: who if I'm boring or whatever, my career goes away instantly,
Speaker 1: people turn you off. And exactly, and my friend said, yeah,
Speaker 1: that's the one thing I miss about being a CEO.
Speaker 4: Yep.
Speaker 1: Every joke I told was hilarious, Every speech I made
Speaker 1: was brilliant. Everything I said was riveting, funny.
Speaker 4: How that ends?
Speaker 1: And uh yeah, yeah, that's a danger you've got to
Speaker 1: have of a wife or a buddy or a loyal
Speaker 1: assistant who's going to call you on yours. I mean,
Speaker 1: that's like the best thing you can have if you're
Speaker 1: in a position of power.
Speaker 4: Isn't it.
Speaker 2: Yeah? Absolutely, I don't know if that happens very often.
Speaker 1: It's a rare relationship. Yeah, got to be handled carefully anyway.
Speaker 1: The thing I was going to get to, but I
Speaker 1: don't want to rush through it. Maybe we can do
Speaker 1: it next or a little later on in the hour.
Speaker 1: Is an absolutely terrific research scientist who has been studying
Speaker 1: various topics AI related and publishing really interesting takes on them.
Speaker 1: Did a big study of the bias, the political bias
Speaker 1: in AI systems that we've all kind of heard about
Speaker 1: and seen examples of. The takeaway is there's just no
Speaker 1: denying it at this point. Some of the particulars are
Speaker 1: really interesting.
Speaker 2: The alpha, it's beyond alpha. The Vik versus Elon thing
Speaker 2: remind me. And this is Katie, I want you to
Speaker 2: be around for this next segment. This story, this is
Speaker 2: probably a misogynist story of a female version of this
Speaker 2: that I witnessed one time.
Speaker 4: He's a pig, Katie, none of us like that.
Speaker 2: Is pretty interesting, so stick around for that coming up.
Speaker 5: Speaking of the inauguration, Mark Zuckerberg sat next to Lauren
Speaker 5: Sanchez and was caught, Yeah, it was caught laring at
Speaker 5: her ample Bosom, prompting a nearby and very horny Bill
Speaker 5: Clinton to say.
Speaker 4: What an amerateur.
Speaker 2: I don't know about the punchline. That was an interesting
Speaker 2: thing that happened. Of course, she was wearing a well,
Speaker 2: as Katie keeps pointing out, she was wearing underwear. She
Speaker 2: was letting Lingerie under her.
Speaker 4: Blame that Harlote Madonna.
Speaker 2: So getting to this story and producing underwear is outerwear.
Speaker 4: It's disgusting.
Speaker 2: I'm a little uncomfortable with this story because we were
Speaker 2: just talking about how Elon and Effect maybe couldn't get along.
Speaker 2: Because when do two people to two people, I won't say, guys,
Speaker 2: two people that are that successful ever end up in
Speaker 2: the same room as each other. Wait a second, people
Speaker 2: always look at me all the time in a room.
Speaker 2: Why are people looking at you? You know, neither one
Speaker 2: of them. I'd probably run into that very often and
Speaker 2: just and it's also like I was doing this the
Speaker 2: other day walking down the street. I was walking watching
Speaker 2: a couple of other dogs. Somebody's walking with their dog
Speaker 2: and as many as other dog and just the immediate
Speaker 2: you know, some dogs pass no problem, some dogs just
Speaker 2: they just they the energy. I don't know what it is.
Speaker 2: Nobody knows what it is. It's interesting, is the alpha,
Speaker 2: whatever it is. I experiences this one time with women.
Speaker 2: And I hate the fact that this is about looks
Speaker 2: and not about like power and intelligence, because it makes
Speaker 2: it seem like I think it only can be about looks,
Speaker 2: but in this case, it was about looks. So I
Speaker 2: worked at a radio station and the rees this is
Speaker 2: many years ago, Gladys. I worked at a radio station. Oh,
Speaker 2: Gladys is Gladys Gladdice as a getting ice surgery today, right,
Speaker 2: so she can't be here. I worked at a radio
Speaker 2: station and the receptionist was a hoty and she was
Speaker 2: like the only hotty in the building. It's very small
Speaker 2: radio station, and she had, you know, so that was
Speaker 2: her turf and she was the flirted with people everybody
Speaker 2: paid attention to, where everybody laughed at her jokes the way,
Speaker 2: you you know, because she went the hotti. Well, we
Speaker 2: got an intern for a while who was younger and
Speaker 2: hotter or as hot and uh and immediately, I mean
Speaker 2: it was like you could see sparks fly off these
Speaker 2: two people. It was like the dogs walking down the
Speaker 2: streets are just immediately. It was observable to me as
Speaker 2: the program director of that radio station, and it played
Speaker 2: out for months.
Speaker 4: Oh man, immediate hostility.
Speaker 2: Huh, just yeah, just immediate. Wait a second, just like
Speaker 2: I was saying with Elon and Vivek, why is everybody
Speaker 2: looking at her? Everybody always looks at me? And I
Speaker 2: think that other girl was having a little of why
Speaker 2: is anybody looking her? People always look at me? And
Speaker 2: just they had an experience that before. Does does that
Speaker 2: ring a bill Katie? Or am I just a misogynist?
Speaker 4: No?
Speaker 2: Well both different?
Speaker 4: Yeah wait a minute, yeah false choice.
Speaker 6: Uh, that sounds like a battle of the egos thing there.
Speaker 4: Sure, but it's god.
Speaker 2: If you are the one everybody looks at and then
Speaker 2: all of a sudden people are looking at someone else,
Speaker 2: it's got a register in some level of your brain.
Speaker 6: I would think, Yeah, I could see how that would
Speaker 6: sting a little.
Speaker 2: You're like the has been hot chick. Well, it's it's
Speaker 2: all status.
Speaker 1: However, you get your status within the the organization or
Speaker 1: the society, the mini society you're in. If you're the
Speaker 1: left handed pitcher on the Yankees and they bring in,
Speaker 1: you know, Doug Kershar or whatever, Clayton Kershaw or or whomever,
Speaker 1: some other greater left handed pitcher, that that hurts, that
Speaker 1: burns just in any you.
Speaker 4: Know, society.
Speaker 2: I think doubt Elon was bothered much, but I can
Speaker 2: see how a vague hadn't run into that situation in
Speaker 2: quite some time where somebody else was getting all the
Speaker 2: attention and then people were listening to him the other
Speaker 2: guy more than him.
Speaker 6: Elon is so dense, and then just going back to
Speaker 6: how vi Vic was during like the debates and what
Speaker 6: notot how.
Speaker 2: Yea sufferable He's hard to take.
Speaker 4: Yeah, yeah, yeah, incredibly bright guy, but so smug.
Speaker 7: Yeah.
Speaker 2: Elon has the option always if you're annoying me, gets
Speaker 2: out his check book. What's your company worth? Okay, forty
Speaker 2: billion dollars and that's my company? Now get out of here.
Speaker 4: I will open you.
Speaker 2: I don't want to talk to you anymore. Yeah. God,
Speaker 2: the sparks flying off of these two women, it was
Speaker 2: just amazing. Eh. You two work it out, bite each
Speaker 2: other or urinate on it, smell it, do whatever it
Speaker 2: is you got to do, work out some sort of
Speaker 2: pecking order it.
Speaker 1: As a non misogynist, I suggest we sell this the
Speaker 1: old fashioned way in a tub full of jelate.
Speaker 7: No orry.
Speaker 2: The receptionist was my girlfriend, so I had to keep
Speaker 2: my mouth shut completely about the whole thing. But it
Speaker 2: was just very very tense, very tense around there for
Speaker 2: a while.
Speaker 4: Oh boy, we got a.
Speaker 2: New fire in the LA area. The weather is going
Speaker 2: to be really bad today again, and we're going to
Speaker 2: talk to a favorite meteorologist of us of ours is
Speaker 2: going to tell us about the conditions and all that
Speaker 2: sort of thing.
Speaker 4: Armstrong and Getty.
Speaker 8: New fire breaking out in Los Angeles along the four
Speaker 8: to five freeway. You're the Getty Center Museum, prompting evacuation
Speaker 8: warnings and parts of bel air flames at evers shooting
Speaker 8: up the hillside. That is, more than four thousand firefighters
Speaker 8: raced to battle the quick moving hues fire just north
Speaker 8: of Los.
Speaker 2: Angeles, how near the Getty Museum. That would be a
Speaker 2: tragedy obviously. And I just I saw some of the
Speaker 2: footage last night watching the news and earn awful lot
Speaker 2: of neighborhoods with a lot of houses nearby.
Speaker 1: Yeah, multiple new fires, not that shocking as the dry
Speaker 1: conditions continue and the winds are whipping. We're joined by
Speaker 1: Rick dickert Ams, certified broadcast meteorologists, long time presence in
Speaker 1: Southern California news and weather.
Speaker 4: Rick, it's a pleasure to have you back again. How
Speaker 4: are you.
Speaker 7: Thank you, Jack and Joe again we are We're looking
Speaker 7: at a really dangerous twenty four hours. We need to
Speaker 7: get through these twenty four hours with more high winds, tinder,
Speaker 7: dry vegetation, very low community values, the red flag warnings continue.
Speaker 7: You mentioned the two new fires, thankfully, the fire that
Speaker 7: broke out along the four to five near the Getty
Speaker 7: Center that has pretty much been contained. No structures were
Speaker 7: damaged or burned that had a handle on that. The
Speaker 7: huge fire, a much larger fire north of that location
Speaker 7: in northern La County in the Angelus National Forest that too,
Speaker 7: having burned over thousand acres, thankfully, has not burned a
Speaker 7: structure yet. That is burning more up in the forest
Speaker 7: land away from any neighborhood.
Speaker 2: The number of agres how many acres did you say?
Speaker 7: It was over ten thousand with a huge fire. The
Speaker 7: suppult of the fire along the FOURAL five was relatively
Speaker 7: small compared Yeah.
Speaker 2: I saw the stat where it was five thousand eight
Speaker 2: in like an hour or two something like that. That's
Speaker 2: just stunning, and it's hard to imagine. Is that mostly
Speaker 2: the wind that causes it to burn so fast?
Speaker 7: Absolutely, there's a lot of there's a lot of things
Speaker 7: that contribute to what we've seen here in southern California
Speaker 7: over the last month. The weather doesn't cause the fire.
Speaker 7: Ninety five percent of fires, whether they are structure fires
Speaker 7: or wildland fires, are produced by man, some sort of ignition,
Speaker 7: anthropologically produced, whether it be infrastructure wires are whether it
Speaker 7: be arson, whether it be somebody working on a field
Speaker 7: and some little spark ignites the brush. That's how these
Speaker 7: fires start. The wind and the weather creates the scenario,
Speaker 7: those red flag conditions for those ignitions to spread. That's
Speaker 7: why we issue these red flag warnings. The National Weather
Speaker 7: Service does, and we are still under a red flag
Speaker 7: warning across much of southern California until ten am tomorrow.
Speaker 7: And what that means any existing fire or new fire
Speaker 7: will spread rapidly because of the weather conditions.
Speaker 4: Do you see any good news weatherwise in the yard medium.
Speaker 7: Turna, so again we just need to get through twenty
Speaker 7: four hours or so, and then after that there is
Speaker 7: going to be a dramatic shift. It's incredible when you
Speaker 7: look at Southern California weather and how bipolar it can be,
Speaker 7: and that we're going to shift into an onshore flow
Speaker 7: flow off the Pacific. The humidity values will rise, the
Speaker 7: temperature will drop, and by Saturday afternoon or evening, we're
Speaker 7: looking at rain, good rain, soaking rain, not so much
Speaker 7: that we're concerned yet about any of the burn scar
Speaker 7: areas where we could see mud walking debrif flows, but
Speaker 7: enough to soak up all this tinder dry vegetation. We
Speaker 7: haven't had significant rainfall since last spring, and that's what
Speaker 7: created this perfect storm, these firestorms, and that we had
Speaker 7: two years of abundant rainfall, mountain snow that allowed all
Speaker 7: of that brush, that chapparral, all of the vegetation that's
Speaker 7: indigenous to southern California to completely explode on the hillside.
Speaker 7: Then that was followed by months and months of little
Speaker 7: or no rain, and then the off conditions, the low
Speaker 7: relative humidities, the winds going from the land towards the sea,
Speaker 7: you get the ignition. Once that ignition happens, it takes off.
Speaker 7: And that's what we saw, unfortunately tragically with the Palisades
Speaker 7: fire near Malibu and above the citing area, above the
Speaker 7: Rose Bowl, the iconic Rose Bull. So now we're dealing
Speaker 7: with a couple of incidents out there that none of
Speaker 7: which are nearly comparable to those two.
Speaker 2: Well, I don't know if you saw Dave Chappelle on
Speaker 2: Saturday Night Live the other night, but he said the
Speaker 2: only conclusion you can draw is God hates these people.
Speaker 2: I mean, because that's a lot of things happening there. So, yeah,
Speaker 2: if it rains like it's supposed to rain, would that
Speaker 2: mean we're just kind of done with at least this
Speaker 2: round of disastrous fires.
Speaker 7: For well, yes, because I can't tell you in two
Speaker 7: weeks from now that you know, we're going to see
Speaker 7: another round of sure winds that will dry everything out
Speaker 7: a gag and we could see more red flag conditions,
Speaker 7: but it'll at least it's going to cleanse the city
Speaker 7: of all the in the soot, good ways and bad ways,
Speaker 7: because all that's going to run off into the ocean
Speaker 7: and that's going to create more issues. But The bottom
Speaker 7: line is is going to create an environment that is
Speaker 7: less suitable for what we've seen over the last several weeks.
Speaker 7: So it will rain here in southern California's starting sometime
Speaker 7: on Saturday. The timing is a little off, but we
Speaker 7: just need to get through twenty four hours after tomorrow
Speaker 7: morning into the interning. That's when we're going to shift
Speaker 7: the flow from the onshore direction off the Pacific, higher humidity,
Speaker 7: the winds will be gone, the red flag warnings will end,
Speaker 7: the high wind warnings that or an effect will end
Speaker 7: as well, and hopefully we can start to make that
Speaker 7: shift and we'll have one hundred containment of all of
Speaker 7: these incidents.
Speaker 4: Rick Tickert, you're the best, Rick. We sure appreciate it.
Speaker 4: Well done.
Speaker 7: Thank you so much.
Speaker 2: And Trump's flying out on Friday bringing the rain with him.
Speaker 2: Since I mentioned it, here's a little billy.
Speaker 1: Here, global warming across the southeast of the United States,
Speaker 1: record cold maybe said maybe somewhere in between, mister president.
Speaker 2: Here's a little Dave Chappelle talking about the fires from
Speaker 2: Saturday Night Live clip one.
Speaker 9: The other day on the news, they said these fires
Speaker 9: were the most expensive tragedy that ever have natural disaster.
Speaker 9: It's the most expensive natural disaster. It's never happened in
Speaker 9: the United States history.
Speaker 4: And you want to know why.
Speaker 2: I think that is.
Speaker 4: Because people in LA have nice stuff.
Speaker 9: I could burn forty thousand acres in Mississippi for like
Speaker 9: sixty seven hundred dollars.
Speaker 2: Okay, And here's a little more shippelle.
Speaker 4: And then I go on the internet and I.
Speaker 9: Watched these fire videos and I read the comments sections,
Speaker 9: and everyone's like, yeah, it serves these celebrities, right.
Speaker 4: I hope the house is burned down. You see that.
Speaker 4: That right there.
Speaker 9: That's why I hate poor people, because they can't see
Speaker 9: past their own pain.
Speaker 4: That is unbelievable.
Speaker 2: He started with the whole thing. A lot of people
Speaker 2: would say, it's too soon to make jokes about the fires,
Speaker 2: but I'm going to, Uh, here's just a little more ushabelle.
Speaker 9: They all have these conspiracy theories what started these fires?
Speaker 9: Now they say it's arsonists. I've heard this theory, and
Speaker 9: I'm sure there were some arsonists, But there were a
Speaker 9: lot of elements that came together to make this fire.
Speaker 9: The catastrophe that was the winds were one hundred miles
Speaker 9: an hour. LA was as dry as the bone and
Speaker 9: the levees, and it was just too many factors. If
Speaker 9: you were a rational thinking person, you have to at
Speaker 9: least consider the possibility that God hates these people.
Speaker 2: There you go.
Speaker 4: Again, too much? How many times have I said that.
Speaker 2: If you're a rational thinking person, you have to at
Speaker 2: least consider the possibility that God hates these people. Well,
Speaker 2: so the rain's gonna come and then out of the woods.
Speaker 2: Can't use out of the woods as an EXPRESSI when
Speaker 2: the woods are burning down, can you.
Speaker 4: Well they're gone?
Speaker 2: Yeah, the ash.
Speaker 4: Yeah, but that is good news.
Speaker 2: And coming up what he's gonna make I was gonna
Speaker 2: say Trump coming out on Friday, and he was making
Speaker 2: the argument last night on Hannity that this draws attention
Speaker 2: to FEMA, which has been ignoring North Carolina, and maybe
Speaker 2: we can, you know, figure out the funding for FEMA
Speaker 2: and everything like that, so they can help out areas
Speaker 2: of the country that people don't care about as much
Speaker 2: because there aren't movie stars there. Remember the North Carolina story,
Speaker 2: And this was true. This turned out to be true.
Speaker 2: They were not helping people who had Trump signs in
Speaker 2: their yards. That's insane. I mean, that is a diseased organization.
Speaker 2: You should shut the doors on whatever chapter that allowed
Speaker 2: that to happen. That's crazy.
Speaker 1: Well they fired the gall in charge. That was progress
Speaker 1: Ah coming up. Ai is a liberal. Why, it's pretty
Speaker 1: easy to understand and absolutely undeniable.
Speaker 2: Wow, I want to hear that.
Speaker 6: All I know.
Speaker 10: I say, you know what, the absolute worst thing for
Speaker 10: the environment is wildfires. A twenty two study found that
Speaker 10: the smoke from just the two in twenty twenty wiped
Speaker 10: out eighteen years of carbon reduction in the state, which
Speaker 10: means we suffered the pain of driving those early model
Speaker 10: priuses for nothing. California is the place that spends money
Speaker 10: and gets nothing, which is why you may have noticed
Speaker 10: when the fires broke out, no one escaped by high
Speaker 10: speed rail.
Speaker 2: Oh so nice. Thank god Bill Maher re upped. He's
Speaker 2: gonna do that job, he said, until they drag him
Speaker 2: off the set, because he's the only high profile lib
Speaker 2: who gets any attention for this sort of stuff. Right,
Speaker 2: I can't believe progressives still come to his show to
Speaker 2: get lectured about how wrong they are about things. But
Speaker 2: how about that eighteen years of minor gains. That's one
Speaker 2: of the reasons it was so easy to wipe out
Speaker 2: there are minor games and fighting climate change wiped out
Speaker 2: by the wildfires.
Speaker 1: You might want to grab our one of today's show
Speaker 1: via podcast Armstrong and Getty on demand. In fact, if
Speaker 1: you subscribe, you'll just you'll have it handy without seeking
Speaker 1: it out. Against Armstrong and getting on demand, we're talking
Speaker 1: about a giant study and the science involved with the
Speaker 1: incredible expense of these tiny incremental gains. Humanity is quote
Speaker 1: unquote making against climate change when our ability to mitigate
Speaker 1: the effects of this stuff is huge it always has
Speaker 1: been throughout human history. It's we're spending a horrific amount
Speaker 1: of money on practically nothing when we could just mitigate
Speaker 1: the problems much more easily and everybody wins.
Speaker 4: Anyway, that's our one of the shows.
Speaker 1: So speaking of science, unless you had more on that topic,
Speaker 1: signor all right, I thought this was great. David Rosato,
Speaker 1: who's a research scientist. He's a computer guy. He's studies
Speaker 1: the institutional dynamics. AI buys all sorts of stuff, but
Speaker 1: he is posing question do AI systems like Chat, GPT
Speaker 1: or Google Gemini, for instance, lean left or right?
Speaker 4: He says past studies often used.
Speaker 1: Political quizzes to find out and We've seen anecdotal evidence
Speaker 1: on Twitter or whatever. Sure, he says, but those don't
Speaker 1: quite reflect real world user interactions with AI. In a
Speaker 1: new analysis, I take a different approach. I use four
Speaker 1: methods to assess political bias in AI generated text, comparing
Speaker 1: AI text with language from Democrat and Republican legislators, ideological
Speaker 1: viewpoints in AI generated policy recommendations, sentiment in AI texts
Speaker 1: toward political figures and political quizzes, and.
Speaker 4: Large language models.
Speaker 1: MS are more likely to use terms that are marketly
Speaker 1: used by US Democratic Congress members, much more likely than
Speaker 1: those marketly used by their Republican counterparts. You see a
Speaker 1: lot of criminal justice, public service, economic development, COVID pandemic,
Speaker 1: that sort of thing less about job, economic growth, job creation,
Speaker 1: border security.
Speaker 2: Oh, what you're done? But I think I can explain
Speaker 2: that without it being programmed biash.
Speaker 1: Yeah exactly, and then and I have a feeling you're
Speaker 1: where we're going. But when requested to provide policy recommendations
Speaker 1: recommendations for the US on various topics, llms often generate
Speaker 1: proposals that lean far left. And we'll post now that
Speaker 1: link to this at Armstrong and Giddy dot com. He's
Speaker 1: got all sorts of really interesting computer generated graphs and
Speaker 1: stuff that's be incredibly cumbersome to describe on the radio
Speaker 1: Slash podcast. But lllms tend to use more positive language
Speaker 1: when referring to left leaning public figures compared to the
Speaker 1: right leaning counterparts. The super interesting chart of that political
Speaker 1: orientation tests tend to diagnose conversational LLM answers to questions
Speaker 1: with political connotations as manifesting left leaning political preferences. You
Speaker 1: ever take one of those tests, what kind of what
Speaker 1: are your politics? Are you an independent, conservative, fiscal something
Speaker 1: or other? Well, they plot that out on a AI
Speaker 1: conversations as well, and they lean left their Democrats, And
Speaker 1: then he ranked twenty of them from least politically biased
Speaker 1: to most. Interestingly, the least politically biased LLM was Google
Speaker 1: Gemma one point one two b IT, and the two
Speaker 1: most biased were also Google products various iterations.
Speaker 2: I see. I don't believe they're being programmed to be liberal.
Speaker 2: I just don't believe that. I think there's too much
Speaker 2: money at stake, and I just don't think that's their intention.
Speaker 2: And I also think it's more interesting if these things
Speaker 2: end up being liberal when they weren't programmed that way.
Speaker 2: Then the answer of well, they're program that way on
Speaker 2: purpose because they're liberals, I think it's more disturbing and
Speaker 2: something to be worried about. If these things tend to
Speaker 2: go that direction on their own, that's what I find
Speaker 2: that's scarier. Yeah, the SOAMJ. Puchai or whatever his name
Speaker 2: is programming it that way on purpose.
Speaker 4: Yeah, I disagree that that's not happening.
Speaker 1: Whether it's you know, eighty twenty, just the nature of
Speaker 1: the thing versus the people who are working on it,
Speaker 1: or ninety ten or fifty to fifty, I don't know.
Speaker 1: But anyway, Rosato points out, the bias is not necessarily intentional.
Speaker 1: Large language models are pre trained on vast amounts of
Speaker 1: Internet content, including news articles.
Speaker 4: All right, anybody like to pipe in here?
Speaker 2: And this is why I wanted to put in the
Speaker 2: part that you're always complaining about the right adopts the
Speaker 2: left's language. So even if the LM is looking at
Speaker 2: Fox and AM talk radio, those people, for whatever reason
Speaker 2: use terms like pro choice instead of pro abortion, or
Speaker 2: gender affirming care instead of sex change, or all kinds
Speaker 2: of different examples. An undocumented immigrant instead of illegal immigrant.
Speaker 4: I don't know, why people migrant now for some reason, Jack.
Speaker 2: Right, migrant. I don't know why people on the right
Speaker 2: adopt the left's language. But I mean, if the LM
Speaker 2: is going to go out there looking for the language,
Speaker 2: it's all the left's language.
Speaker 1: Well, first of all, to answer your tangent, I think
Speaker 1: it's because they want to be accepted by the cool people,
Speaker 1: and it disgusts me. But anyway, so back to disgusting. Jeez,
Speaker 1: have some courage, I know, yeah, please, these are important questions. Anyway,
Speaker 1: risk being slightly less popular at pickup time at your
Speaker 1: kid's seventy five thousand dollars a year third grade, you know,
Speaker 1: by standing up for your beliefs. Anyway, but back to Rosado.
Speaker 1: Here's how the lms train themselves and Jack interrupted me
Speaker 1: rudely after only one example, but the commentary is the
Speaker 1: same on each one. Practically, they train themselves on news articles,
Speaker 1: Wikipedia entries, eh, social media posts wildly varied blah, and
Speaker 1: academic papers.
Speaker 2: Oh lordy, this is like the story from a couple
Speaker 2: of weeks ago of why the experts often agree with
Speaker 2: the liberals. It's because all the experts are liberals, just
Speaker 2: my definition. So in all these various areas of study.
Speaker 2: There are one hundred. They're somewhere between ninety two and
Speaker 2: one hundred percent lefties that are the professors. So if
Speaker 2: you go looking for an expert, of course the expert
Speaker 2: live agrees with So this is what's happening here and.
Speaker 1: Then now, Resata points out these biases can become more
Speaker 1: pronounced during the model's fine tuning phrase when human trainers
Speaker 1: guide it on conversational norms. Even well intentioned trainers may
Speaker 1: inadvertently influence the model by incorporating their own perspectives or
Speaker 1: assumptions about their employer's expectations.
Speaker 2: Well, yeah, and that's where the human part comes. Sure,
Speaker 2: there'd be no getting around that. A fish doesn't Alwa's wet.
Speaker 2: I mean, if you're like so into your worldview, you
Speaker 2: don't even know it's different than most people. That could happen.
Speaker 2: If you're right that it's on purpose, that would be
Speaker 2: good news. If my theory is that these things just
Speaker 2: go that direction, that would be bad news, because I
Speaker 2: don't know how you combat that.
Speaker 4: Well, I mean, that's that's unquestionably a lot of it,
Speaker 4: if not most of it. So I don't know.
Speaker 2: I wonder if this happens in computers the way it
Speaker 2: happens with human beings. Tim Sanderfer and I forget the
Speaker 2: name of it. Somebody's law, somebody's name law.
Speaker 1: You know.
Speaker 2: One of those Johnson's law is that any organization drifts
Speaker 2: left unless it's specifically designed to be right wing, and
Speaker 2: it just tends to be true. Everything drifts left over
Speaker 2: time for some reason. And I wonder if that's just
Speaker 2: what's going on here, which would be horrifying.
Speaker 4: Yeah, I think the answer might be.
Speaker 1: Of course, we don't know what AI is going to
Speaker 1: be five weeks, much less five years. Answers don't be
Speaker 1: worshipful of it, understand where it came from and what
Speaker 1: it is, and it's gonna lean left.
Speaker 2: I have no idea how this is all gonna play out.
Speaker 2: Of course, that doesn't matter if I of course, you're
Speaker 2: gonna have a sassy, progressive, left leaning sex robot. It's
Speaker 2: always lecturing you. I can't have sex with you today.
Speaker 2: I need to go to the anti pro choice to
Speaker 2: whatever march downtown. Your sex robot it's gonna best.
Speaker 1: It's gonna be like a reincarnation of Margaret Thatcher is
Speaker 1: better looking. It's gonna lecture me I'm being too much
Speaker 1: of a liberal.
Speaker 2: That's hilarious. Oh boy. If you miss an hour, get
Speaker 2: the podcast Armstrong and Getty on demand Armstrong and Getty