January 23, 2025 • 35 mins
Hour 3 of A&G features...
- Alpha males in the White House & the Elon Musk/Sam Altman cat fight
- Battle of the beauty!
- Meteorologist Rick Dickert talks to A&G about the SoCal wildfires
- Do AI systems lean left?
Stupid Should Hurt: https://www.armstrongandgetty.com/
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:01):
Broadcasting live from the Abraham Lincoln Radio Studio, the George
Washington Broadcast Center, Jack Armstrong and Shoe, Ketty.
Speaker 2 (00:10):
Armstrong and Jetty and he Armstrong and Yetty.
Speaker 3 (00:23):
Elon Musk, who has been at President Trump's side seen
in the West Wing, now speaking out against Trump's plan
Trump announcing a five hundred billion dollar artificial intelligence project,
Musk now saying the money isn't there. The White House
now saying listen to Trump.
Speaker 2 (00:38):
Not Musk. Oh, does the media love the idea of
perhaps being able to drive a wedge between Trump and
Musk because it's so scary. Oh, I saw a headline
about that today, something about the oligarchy or whatever the hell.
Speaker 1 (00:53):
Oh, for goodness, says halload of crap, And honestly, and
it's funny. I was listening to another podcast. Turns out
there is another one. I've had it shut down by
Trump because ours should be the only one. But and
the question they were asking panel guys was, how long
do you think before there's a rift between Trump and Elon?
(01:16):
Two Alpha dogs? Is too many in the same room?
And they're like, oh, not for a long time, blah
blah blah. I don't know I'm not as optimistic. I
just wonder how long it can last.
Speaker 2 (01:27):
Axiosi's headline today, America doesn't have a king, but we're
dancing close to king like power, and they get into
Trump and Elon running the world together.
Speaker 1 (01:37):
Dancing close to King like Power is the title of
my new electronica album, Altho Way coming out Friday.
Speaker 4 (01:42):
That's really exciting. It drops Friday, It drops Friday.
Speaker 2 (01:48):
What was I gonna say, Elon? Well, Alpha, I don't.
I don't even know what that term means anymore. But
Elon seems to let things roll off him because he can.
I mean, say whatever you want. The world's rich, just
man by like double.
Speaker 4 (02:07):
Exactly. How you hurt me with your scathing words? Yeah, exactly.
Speaker 1 (02:11):
So there are a couple of really interesting Elon related conflicts.
Speaker 4 (02:15):
So the fact that he poo pooed the big.
Speaker 1 (02:19):
Announcement by Open Ai and soft Bank in Oracle like
an hour after Trump was touting it as a wonderful,
wonderful thing. That's not cool in any organization. And I
think it's part of his autism spectrum thing. He just
he doesn't. He doesn't because I deal with this on
(02:41):
a regular basis. He doesn't get regular communication flow. He
doesn't get the the what is the right term both
physical and verbal signals that most people understand and get.
People on the spectrum oftentimes don't understand. And I think
he's one of those people. Yeah, yeah, there's some truth
(03:05):
to that. I think how much is impossible to know
from a distance. But I also think there is a
bit of an element of we're talking business and finance
and technology. With all due respect, mister hotel and golf
course builder, I'm the best in the world at this.
So you don't tell me what to say and what
(03:27):
not to say about business and technology. Well, yeah, you
gotta believe there's some element of that.
Speaker 2 (03:34):
Well, then he shouldn't have that job because you serve
at the pleasure of the president, and the president's of
the boss. Marco Ruby is not going to agree with
all of Trump's foreign policy decisions. But you either resign
or you carry out the boss's desires.
Speaker 1 (03:48):
Right, You've explained exactly why I believe what I believe
that it's going to crack up.
Speaker 2 (03:54):
So you don't think he's going to go along with
the boss the way Marco Rubio probably is.
Speaker 1 (04:00):
Yeah, I don't think he can I don't. I don't
think it's part of his being.
Speaker 4 (04:04):
I don't. It would be too weird and uncomfortable for him.
Speaker 1 (04:06):
But anyway, I hope they do wonderful work while they're
going at it, and I want to talk about that for.
Speaker 2 (04:10):
The next forty eight hours, two forty years.
Speaker 4 (04:14):
I don't know. I don't know.
Speaker 1 (04:16):
Uh, it's it's it's fire, it's a oil in water,
though not oil and water.
Speaker 4 (04:19):
It's tea and whatever. The end is a better way
to go.
Speaker 1 (04:25):
Yeah, but something explosive anyway, uh dur oh. So getting
back to Elon Musk versus Sam Altman the catfight, this
is where it gets really because Elon Musk said of
the Giant Data Center announcement, they don't have the money.
Speaker 4 (04:42):
Uh.
Speaker 1 (04:42):
He was saying, they have a fraction of the money.
They're talking about. This is this They're they're way over
selling this thing. Again, like an hour and a half
after the President had just touted it, Trump said, this
will include the construction of colossal data center's massive structures.
These buildings, big beautiful buildings are going to employ a
lot of people.
Speaker 4 (05:00):
And then Elon says, well, he said essentially what I said.
Speaker 1 (05:05):
They don't have a fraction of the money they're gonna need,
so his comments set off a war of words on
his own media platform. X Altman initially sounded a conciliatory note,
saying I genuinely respect your accomplishments and think you are
the most inspiring entrepreneur of our time, and then he
later posted that Musk's comments about SoftBank's funding were wrong,
(05:29):
the first data centers already underway and quote, I realized
what is great for the country isn't always what's optimal
for your companies. But in your new role, I hope
you'll mostly put America first.
Speaker 2 (05:40):
WHOA. Musk fired back with a string of posts that
was all part of the same post or was that
different posts? That was a little later, Okay, so okay,
because I was going to say you can't start with
the handy and then immediately jump to that.
Speaker 4 (05:53):
But they're different.
Speaker 1 (05:54):
Oh wow, Oh anyway, so that was later. Musk fired
back with a string of posts. Wednesday, he repeated criticisms
vaultman open Ai, saying it's fake to one user's tweet
citing the Stargate announcement. The Stargate announcement tweet elon Musk
said it's fake. This is two days or a day
(06:18):
after the President touted it as being wonderful.
Speaker 2 (06:20):
Okay, I'm completely in your camp. Now it's gonna crack up.
There's no another tweet saying Sam is a swindler. All right,
Well that's too bad. I'm not happy about this. I
usually am happy about this sort of thing because I
like I like rich, powerful, famous people at each other.
(06:42):
But I don't like this one. I'd rather these people
could work together.
Speaker 1 (06:46):
Musk also retweeted a post showing a photo of what
appeared to be a drug pipe and a baggy of
powder under the caption leaked image of the research tool
open AI used to come up with their five hundred
billion dollar number for stargate.
Speaker 2 (06:58):
That's funny, Yes, that's pretty fund The level of you know,
it's a coarse term, but the level of no fs
to give you have when you're the world rich, just
mad is something nobody's ever seen. Mefore you just cash
out your thoughts about everything on a regular basis.
Speaker 1 (07:21):
Yeah, clearly, clearly true. So a little more technology, government
and cat fighting that I found interesting. Oh that's right,
then I've got like the important scientific thing. Anyway, Leaks
are beginning to leak about the excuse me the conflict
between Elon Musk and Vivey Kramaswami in Doge, the cover
(07:41):
story being Hey, I'm going to run for governor of
Ohio is going to take my time, And I guess
Elon was more about cutting spending viveke who was more
about cutting regulations. Honestly, it's tough to pick a favorite there.
They're both huge priorities. So you got peanut butter in
my chocolate? Why can't why can't they fit together?
Speaker 4 (07:59):
Exactly?
Speaker 1 (08:00):
But some of the leaks are saying, though the claim
is there is no hard feelings, the leaks are saying that, yeah,
every meeting you have, if they comes in and he
weighs in with strong opinions on everything.
Speaker 2 (08:13):
Wait, and the guy's just obnoxious. He doesn't seem like
that kind of guy.
Speaker 1 (08:17):
Oh wait, yeah, I know that that rapid fire of
hyper confident manner of speaking that he has. Yeah, look,
he's a he's a very very bright guy and has
been very successful.
Speaker 4 (08:29):
He's very rich. He's worth listening to. But man, he's
hard to take.
Speaker 2 (08:33):
You know, it's interesting. I've only known a handful of
people like this in my life that I've ever like
actually got to be in meetings with or whatever. But
if you ever have, you know, I mean they dominate
the room, and I mean they they feel like they should,
they feel like they need to and usually nobody ever
(08:54):
says anything to them. I've never been in a room
where there's two of them. I don't know what that
would be like. I've been in plenty of rooms where
there's one of them and everybody has to sit there
and listen to them go on, and they say some
stuff that's clearly bs and they tell you boring stories,
but everybody just nods and laughs because they're the big dog.
And I've been in luck, but I've never been in
a room where there's two of those people. And I
(09:14):
don't know what that would look like. And I'm sure
Elon and Viveaik was one of those situations, and.
Speaker 1 (09:19):
That was one of the other leaks that it was
really starting to annoy Elon.
Speaker 2 (09:23):
Well, especially if you've been that way your whole life,
every meeting you're in, little by little over your life,
you got used to everybody sits there and listens to
you and is amazed by your stories and laughs at
your jokes, and then all of a sudden, you're in
a room where somebody's like, now, my stories and jokes
are good. Your suck. I mean, that's got to be
quite shocking to those people.
Speaker 4 (09:45):
Yeah. Yeah.
Speaker 1 (09:46):
I was chatting with a friend who was a CEO
of a company and retired. He had a very successful
business career, and I was talking about a function we're
at where somebody was very long winded, very I mean,
like everybody was just praying to get on with it.
(10:09):
And I already that it was not a funeral. And
I'm being vague because these are all very nice people,
but the person had a career where people had to
listen to them. And I was saying, there's an enormous
contrast between somebody who for an entire career had people
(10:31):
who had to listen to them and somebody like me,
who if I'm boring or whatever, my career goes away instantly,
people turn you off. And exactly, and my friend said, yeah,
that's the one thing I miss about being a CEO.
Speaker 4 (10:45):
Yep.
Speaker 1 (10:45):
Every joke I told was hilarious, Every speech I made
was brilliant. Everything I said was riveting, funny.
Speaker 4 (10:53):
How that ends?
Speaker 1 (10:55):
And uh yeah, yeah, that's a danger you've got to
have of a wife or a buddy or a loyal
assistant who's going to call you on yours. I mean,
that's like the best thing you can have if you're
in a position of power.
Speaker 4 (11:12):
Isn't it.
Speaker 2 (11:13):
Yeah? Absolutely, I don't know if that happens very often.
Speaker 1 (11:17):
It's a rare relationship. Yeah, got to be handled carefully anyway.
The thing I was going to get to, but I
don't want to rush through it. Maybe we can do
it next or a little later on in the hour.
Is an absolutely terrific research scientist who has been studying
various topics AI related and publishing really interesting takes on them.
Did a big study of the bias, the political bias
(11:42):
in AI systems that we've all kind of heard about
and seen examples of. The takeaway is there's just no
denying it at this point. Some of the particulars are
really interesting.
Speaker 2 (11:53):
The alpha, it's beyond alpha. The Vik versus Elon thing
remind me. And this is Katie, I want you to
be around for this next segment. This story, this is
probably a misogynist story of a female version of this
that I witnessed one time.
Speaker 4 (12:08):
He's a pig, Katie, none of us like that.
Speaker 2 (12:10):
Is pretty interesting, so stick around for that coming up.
Speaker 5 (12:17):
Speaking of the inauguration, Mark Zuckerberg sat next to Lauren
Sanchez and was caught, Yeah, it was caught laring at
her ample Bosom, prompting a nearby and very horny Bill
Clinton to say.
Speaker 4 (12:31):
What an amerateur.
Speaker 2 (12:35):
I don't know about the punchline. That was an interesting
thing that happened. Of course, she was wearing a well,
as Katie keeps pointing out, she was wearing underwear. She
was letting Lingerie under her.
Speaker 4 (12:46):
Blame that Harlote Madonna.
Speaker 2 (12:50):
So getting to this story and producing underwear is outerwear.
Speaker 4 (12:54):
It's disgusting.
Speaker 2 (12:55):
I'm a little uncomfortable with this story because we were
just talking about how Elon and Effect maybe couldn't get along.
Because when do two people to two people, I won't say, guys,
two people that are that successful ever end up in
the same room as each other. Wait a second, people
always look at me all the time in a room.
(13:15):
Why are people looking at you? You know, neither one
of them. I'd probably run into that very often and
just and it's also like I was doing this the
other day walking down the street. I was walking watching
a couple of other dogs. Somebody's walking with their dog
and as many as other dog and just the immediate
you know, some dogs pass no problem, some dogs just
they just they the energy. I don't know what it is.
(13:38):
Nobody knows what it is. It's interesting, is the alpha,
whatever it is. I experiences this one time with women.
And I hate the fact that this is about looks
and not about like power and intelligence, because it makes
it seem like I think it only can be about looks,
but in this case, it was about looks. So I
worked at a radio station and the rees this is
many years ago, Gladys. I worked at a radio station. Oh,
Gladys is Gladys Gladdice as a getting ice surgery today, right,
(14:01):
so she can't be here. I worked at a radio
station and the receptionist was a hoty and she was
like the only hotty in the building. It's very small
radio station, and she had, you know, so that was
her turf and she was the flirted with people everybody
paid attention to, where everybody laughed at her jokes the way,
(14:23):
you you know, because she went the hotti. Well, we
got an intern for a while who was younger and
hotter or as hot and uh and immediately, I mean
it was like you could see sparks fly off these
two people. It was like the dogs walking down the
streets are just immediately. It was observable to me as
the program director of that radio station, and it played
(14:46):
out for months.
Speaker 4 (14:48):
Oh man, immediate hostility.
Speaker 2 (14:50):
Huh, just yeah, just immediate. Wait a second, just like
I was saying with Elon and Vivek, why is everybody
looking at her? Everybody always looks at me? And I
think that other girl was having a little of why
is anybody looking her? People always look at me? And
just they had an experience that before. Does does that
ring a bill Katie? Or am I just a misogynist?
Speaker 4 (15:06):
No?
Speaker 2 (15:06):
Well both different?
Speaker 4 (15:09):
Yeah wait a minute, yeah false choice.
Speaker 6 (15:12):
Uh, that sounds like a battle of the egos thing there.
Speaker 4 (15:15):
Sure, but it's god.
Speaker 2 (15:16):
If you are the one everybody looks at and then
all of a sudden people are looking at someone else,
it's got a register in some level of your brain.
Speaker 6 (15:24):
I would think, Yeah, I could see how that would
sting a little.
Speaker 2 (15:27):
You're like the has been hot chick. Well, it's it's
all status.
Speaker 1 (15:31):
However, you get your status within the the organization or
the society, the mini society you're in. If you're the
left handed pitcher on the Yankees and they bring in,
you know, Doug Kershar or whatever, Clayton Kershaw or or whomever,
some other greater left handed pitcher, that that hurts, that
(15:53):
burns just in any you.
Speaker 4 (15:55):
Know, society.
Speaker 2 (15:56):
I think doubt Elon was bothered much, but I can
see how a vague hadn't run into that situation in
quite some time where somebody else was getting all the
attention and then people were listening to him the other
guy more than him.
Speaker 6 (16:09):
Elon is so dense, and then just going back to
how vi Vic was during like the debates and what
notot how.
Speaker 2 (16:16):
Yea sufferable He's hard to take.
Speaker 4 (16:18):
Yeah, yeah, yeah, incredibly bright guy, but so smug.
Speaker 7 (16:22):
Yeah.
Speaker 2 (16:23):
Elon has the option always if you're annoying me, gets
out his check book. What's your company worth? Okay, forty
billion dollars and that's my company? Now get out of here.
Speaker 4 (16:30):
I will open you.
Speaker 2 (16:31):
I don't want to talk to you anymore. Yeah. God,
the sparks flying off of these two women, it was
just amazing. Eh. You two work it out, bite each
other or urinate on it, smell it, do whatever it
is you got to do, work out some sort of
pecking order it.
Speaker 1 (16:45):
As a non misogynist, I suggest we sell this the
old fashioned way in a tub full of jelate.
Speaker 7 (16:53):
No orry.
Speaker 2 (16:55):
The receptionist was my girlfriend, so I had to keep
my mouth shut completely about the whole thing. But it
was just very very tense, very tense around there for
a while.
Speaker 4 (17:03):
Oh boy, we got a.
Speaker 2 (17:04):
New fire in the LA area. The weather is going
to be really bad today again, and we're going to
talk to a favorite meteorologist of us of ours is
going to tell us about the conditions and all that
sort of thing.
Speaker 4 (17:16):
Armstrong and Getty.
Speaker 8 (17:18):
New fire breaking out in Los Angeles along the four
to five freeway. You're the Getty Center Museum, prompting evacuation
warnings and parts of bel air flames at evers shooting
up the hillside. That is, more than four thousand firefighters
raced to battle the quick moving hues fire just north
of Los.
Speaker 2 (17:34):
Angeles, how near the Getty Museum. That would be a
tragedy obviously. And I just I saw some of the
footage last night watching the news and earn awful lot
of neighborhoods with a lot of houses nearby.
Speaker 1 (17:44):
Yeah, multiple new fires, not that shocking as the dry
conditions continue and the winds are whipping. We're joined by
Rick dickert Ams, certified broadcast meteorologists, long time presence in
Southern California news and weather.
Speaker 4 (18:01):
Rick, it's a pleasure to have you back again. How
are you.
Speaker 7 (18:04):
Thank you, Jack and Joe again we are We're looking
at a really dangerous twenty four hours. We need to
get through these twenty four hours with more high winds, tinder,
dry vegetation, very low community values, the red flag warnings continue.
You mentioned the two new fires, thankfully, the fire that
broke out along the four to five near the Getty
Center that has pretty much been contained. No structures were
(18:26):
damaged or burned that had a handle on that. The
huge fire, a much larger fire north of that location
in northern La County in the Angelus National Forest that too,
having burned over thousand acres, thankfully, has not burned a
structure yet. That is burning more up in the forest
land away from any neighborhood.
Speaker 2 (18:47):
The number of agres how many acres did you say?
Speaker 7 (18:49):
It was over ten thousand with a huge fire. The
suppult of the fire along the FOURAL five was relatively
small compared Yeah.
Speaker 2 (18:57):
I saw the stat where it was five thousand eight
in like an hour or two something like that. That's
just stunning, and it's hard to imagine. Is that mostly
the wind that causes it to burn so fast?
Speaker 7 (19:07):
Absolutely, there's a lot of there's a lot of things
that contribute to what we've seen here in southern California
over the last month. The weather doesn't cause the fire.
Ninety five percent of fires, whether they are structure fires
or wildland fires, are produced by man, some sort of ignition,
anthropologically produced, whether it be infrastructure wires are whether it
(19:30):
be arson, whether it be somebody working on a field
and some little spark ignites the brush. That's how these
fires start. The wind and the weather creates the scenario,
those red flag conditions for those ignitions to spread. That's
why we issue these red flag warnings. The National Weather
Service does, and we are still under a red flag
(19:50):
warning across much of southern California until ten am tomorrow.
And what that means any existing fire or new fire
will spread rapidly because of the weather conditions.
Speaker 4 (20:01):
Do you see any good news weatherwise in the yard medium.
Speaker 7 (20:04):
Turna, so again we just need to get through twenty
four hours or so, and then after that there is
going to be a dramatic shift. It's incredible when you
look at Southern California weather and how bipolar it can be,
and that we're going to shift into an onshore flow
flow off the Pacific. The humidity values will rise, the
(20:24):
temperature will drop, and by Saturday afternoon or evening, we're
looking at rain, good rain, soaking rain, not so much
that we're concerned yet about any of the burn scar
areas where we could see mud walking debrif flows, but
enough to soak up all this tinder dry vegetation. We
haven't had significant rainfall since last spring, and that's what
(20:44):
created this perfect storm, these firestorms, and that we had
two years of abundant rainfall, mountain snow that allowed all
of that brush, that chapparral, all of the vegetation that's
indigenous to southern California to completely explode on the hillside.
Then that was followed by months and months of little
or no rain, and then the off conditions, the low
(21:07):
relative humidities, the winds going from the land towards the sea,
you get the ignition. Once that ignition happens, it takes off.
And that's what we saw, unfortunately tragically with the Palisades
fire near Malibu and above the citing area, above the
Rose Bowl, the iconic Rose Bull. So now we're dealing
with a couple of incidents out there that none of
(21:27):
which are nearly comparable to those two.
Speaker 2 (21:29):
Well, I don't know if you saw Dave Chappelle on
Saturday Night Live the other night, but he said the
only conclusion you can draw is God hates these people.
I mean, because that's a lot of things happening there. So, yeah,
if it rains like it's supposed to rain, would that
mean we're just kind of done with at least this
round of disastrous fires.
Speaker 7 (21:46):
For well, yes, because I can't tell you in two
weeks from now that you know, we're going to see
another round of sure winds that will dry everything out
a gag and we could see more red flag conditions,
but it'll at least it's going to cleanse the city
of all the in the soot, good ways and bad ways,
because all that's going to run off into the ocean
and that's going to create more issues. But The bottom
(22:06):
line is is going to create an environment that is
less suitable for what we've seen over the last several weeks.
So it will rain here in southern California's starting sometime
on Saturday. The timing is a little off, but we
just need to get through twenty four hours after tomorrow
morning into the interning. That's when we're going to shift
the flow from the onshore direction off the Pacific, higher humidity,
(22:27):
the winds will be gone, the red flag warnings will end,
the high wind warnings that or an effect will end
as well, and hopefully we can start to make that
shift and we'll have one hundred containment of all of
these incidents.
Speaker 4 (22:39):
Rick Tickert, you're the best, Rick. We sure appreciate it.
Well done.
Speaker 7 (22:43):
Thank you so much.
Speaker 2 (22:44):
And Trump's flying out on Friday bringing the rain with him.
Since I mentioned it, here's a little billy.
Speaker 1 (22:49):
Here, global warming across the southeast of the United States,
record cold maybe said maybe somewhere in between, mister president.
Speaker 2 (22:57):
Here's a little Dave Chappelle talking about the fires from
Saturday Night Live clip one.
Speaker 9 (23:05):
The other day on the news, they said these fires
were the most expensive tragedy that ever have natural disaster.
It's the most expensive natural disaster. It's never happened in
the United States history.
Speaker 4 (23:17):
And you want to know why.
Speaker 2 (23:18):
I think that is.
Speaker 4 (23:19):
Because people in LA have nice stuff.
Speaker 9 (23:22):
I could burn forty thousand acres in Mississippi for like
sixty seven hundred dollars.
Speaker 2 (23:30):
Okay, And here's a little more shippelle.
Speaker 4 (23:32):
And then I go on the internet and I.
Speaker 9 (23:33):
Watched these fire videos and I read the comments sections,
and everyone's like, yeah, it serves these celebrities, right.
Speaker 4 (23:39):
I hope the house is burned down. You see that.
That right there.
Speaker 9 (23:46):
That's why I hate poor people, because they can't see
past their own pain.
Speaker 4 (23:59):
That is unbelievable.
Speaker 2 (24:01):
He started with the whole thing. A lot of people
would say, it's too soon to make jokes about the fires,
but I'm going to, Uh, here's just a little more ushabelle.
Speaker 9 (24:12):
They all have these conspiracy theories what started these fires?
Now they say it's arsonists. I've heard this theory, and
I'm sure there were some arsonists, But there were a
lot of elements that came together to make this fire.
The catastrophe that was the winds were one hundred miles
an hour. LA was as dry as the bone and
the levees, and it was just too many factors. If
you were a rational thinking person, you have to at
(24:34):
least consider the possibility that God hates these people.
Speaker 2 (24:38):
There you go.
Speaker 4 (24:44):
Again, too much? How many times have I said that.
Speaker 2 (24:49):
If you're a rational thinking person, you have to at
least consider the possibility that God hates these people. Well,
so the rain's gonna come and then out of the woods.
Can't use out of the woods as an EXPRESSI when
the woods are burning down, can you.
Speaker 4 (25:06):
Well they're gone?
Speaker 2 (25:07):
Yeah, the ash.
Speaker 4 (25:08):
Yeah, but that is good news.
Speaker 2 (25:10):
And coming up what he's gonna make I was gonna
say Trump coming out on Friday, and he was making
the argument last night on Hannity that this draws attention
to FEMA, which has been ignoring North Carolina, and maybe
we can, you know, figure out the funding for FEMA
and everything like that, so they can help out areas
of the country that people don't care about as much
because there aren't movie stars there. Remember the North Carolina story,
And this was true. This turned out to be true.
(25:34):
They were not helping people who had Trump signs in
their yards. That's insane. I mean, that is a diseased organization.
You should shut the doors on whatever chapter that allowed
that to happen. That's crazy.
Speaker 1 (25:46):
Well they fired the gall in charge. That was progress
Ah coming up. Ai is a liberal. Why, it's pretty
easy to understand and absolutely undeniable.
Speaker 2 (25:58):
Wow, I want to hear that.
Speaker 6 (25:59):
All I know.
Speaker 10 (25:59):
I say, you know what, the absolute worst thing for
the environment is wildfires. A twenty two study found that
the smoke from just the two in twenty twenty wiped
out eighteen years of carbon reduction in the state, which
means we suffered the pain of driving those early model
(26:21):
priuses for nothing. California is the place that spends money
and gets nothing, which is why you may have noticed
when the fires broke out, no one escaped by high
speed rail.
Speaker 2 (26:31):
Oh so nice. Thank god Bill Maher re upped. He's
gonna do that job, he said, until they drag him
off the set, because he's the only high profile lib
who gets any attention for this sort of stuff. Right,
I can't believe progressives still come to his show to
get lectured about how wrong they are about things. But
(26:52):
how about that eighteen years of minor gains. That's one
of the reasons it was so easy to wipe out
there are minor games and fighting climate change wiped out
by the wildfires.
Speaker 1 (27:03):
You might want to grab our one of today's show
via podcast Armstrong and Getty on demand. In fact, if
you subscribe, you'll just you'll have it handy without seeking
it out. Against Armstrong and getting on demand, we're talking
about a giant study and the science involved with the
incredible expense of these tiny incremental gains. Humanity is quote
(27:24):
unquote making against climate change when our ability to mitigate
the effects of this stuff is huge it always has
been throughout human history. It's we're spending a horrific amount
of money on practically nothing when we could just mitigate
the problems much more easily and everybody wins.
Speaker 4 (27:43):
Anyway, that's our one of the shows.
Speaker 1 (27:45):
So speaking of science, unless you had more on that topic,
signor all right, I thought this was great. David Rosato,
who's a research scientist. He's a computer guy. He's studies
the institutional dynamics. AI buys all sorts of stuff, but
he is posing question do AI systems like Chat, GPT
or Google Gemini, for instance, lean left or right?
Speaker 4 (28:08):
He says past studies often used.
Speaker 1 (28:10):
Political quizzes to find out and We've seen anecdotal evidence
on Twitter or whatever. Sure, he says, but those don't
quite reflect real world user interactions with AI. In a
new analysis, I take a different approach. I use four
methods to assess political bias in AI generated text, comparing
AI text with language from Democrat and Republican legislators, ideological
(28:32):
viewpoints in AI generated policy recommendations, sentiment in AI texts
toward political figures and political quizzes, and.
Speaker 4 (28:42):
Large language models.
Speaker 1 (28:44):
MS are more likely to use terms that are marketly
used by US Democratic Congress members, much more likely than
those marketly used by their Republican counterparts. You see a
lot of criminal justice, public service, economic development, COVID pandemic,
that sort of thing less about job, economic growth, job creation,
border security.
Speaker 2 (29:03):
Oh, what you're done? But I think I can explain
that without it being programmed biash.
Speaker 1 (29:09):
Yeah exactly, and then and I have a feeling you're
where we're going. But when requested to provide policy recommendations
recommendations for the US on various topics, llms often generate
proposals that lean far left. And we'll post now that
link to this at Armstrong and Giddy dot com. He's
got all sorts of really interesting computer generated graphs and
(29:31):
stuff that's be incredibly cumbersome to describe on the radio
Slash podcast. But lllms tend to use more positive language
when referring to left leaning public figures compared to the
right leaning counterparts. The super interesting chart of that political
orientation tests tend to diagnose conversational LLM answers to questions
(29:52):
with political connotations as manifesting left leaning political preferences. You
ever take one of those tests, what kind of what
are your politics? Are you an independent, conservative, fiscal something
or other? Well, they plot that out on a AI
conversations as well, and they lean left their Democrats, And
then he ranked twenty of them from least politically biased
(30:17):
to most. Interestingly, the least politically biased LLM was Google
Gemma one point one two b IT, and the two
most biased were also Google products various iterations.
Speaker 2 (30:35):
I see. I don't believe they're being programmed to be liberal.
I just don't believe that. I think there's too much
money at stake, and I just don't think that's their intention.
And I also think it's more interesting if these things
end up being liberal when they weren't programmed that way.
Then the answer of well, they're program that way on
purpose because they're liberals, I think it's more disturbing and
(30:57):
something to be worried about. If these things tend to
go that direction on their own, that's what I find
that's scarier. Yeah, the SOAMJ. Puchai or whatever his name
is programming it that way on purpose.
Speaker 4 (31:09):
Yeah, I disagree that that's not happening.
Speaker 1 (31:13):
Whether it's you know, eighty twenty, just the nature of
the thing versus the people who are working on it,
or ninety ten or fifty to fifty, I don't know.
But anyway, Rosato points out, the bias is not necessarily intentional.
Large language models are pre trained on vast amounts of
Internet content, including news articles.
Speaker 4 (31:33):
All right, anybody like to pipe in here?
Speaker 2 (31:35):
And this is why I wanted to put in the
part that you're always complaining about the right adopts the
left's language. So even if the LM is looking at
Fox and AM talk radio, those people, for whatever reason
use terms like pro choice instead of pro abortion, or
gender affirming care instead of sex change, or all kinds
(31:56):
of different examples. An undocumented immigrant instead of illegal immigrant.
Speaker 4 (32:00):
I don't know, why people migrant now for some reason, Jack.
Speaker 2 (32:03):
Right, migrant. I don't know why people on the right
adopt the left's language. But I mean, if the LM
is going to go out there looking for the language,
it's all the left's language.
Speaker 1 (32:11):
Well, first of all, to answer your tangent, I think
it's because they want to be accepted by the cool people,
and it disgusts me. But anyway, so back to disgusting. Jeez,
have some courage, I know, yeah, please, these are important questions. Anyway,
risk being slightly less popular at pickup time at your
(32:32):
kid's seventy five thousand dollars a year third grade, you know,
by standing up for your beliefs. Anyway, but back to Rosado.
Here's how the lms train themselves and Jack interrupted me
rudely after only one example, but the commentary is the
same on each one. Practically, they train themselves on news articles,
(32:53):
Wikipedia entries, eh, social media posts wildly varied blah, and
academic papers.
Speaker 2 (33:04):
Oh lordy, this is like the story from a couple
of weeks ago of why the experts often agree with
the liberals. It's because all the experts are liberals, just
my definition. So in all these various areas of study.
There are one hundred. They're somewhere between ninety two and
one hundred percent lefties that are the professors. So if
(33:26):
you go looking for an expert, of course the expert
live agrees with So this is what's happening here and.
Speaker 1 (33:31):
Then now, Resata points out these biases can become more
pronounced during the model's fine tuning phrase when human trainers
guide it on conversational norms. Even well intentioned trainers may
inadvertently influence the model by incorporating their own perspectives or
assumptions about their employer's expectations.
Speaker 2 (33:48):
Well, yeah, and that's where the human part comes. Sure,
there'd be no getting around that. A fish doesn't Alwa's wet.
I mean, if you're like so into your worldview, you
don't even know it's different than most people. That could happen.
If you're right that it's on purpose, that would be
good news. If my theory is that these things just
go that direction, that would be bad news, because I
(34:08):
don't know how you combat that.
Speaker 4 (34:11):
Well, I mean, that's that's unquestionably a lot of it,
if not most of it. So I don't know.
Speaker 2 (34:19):
I wonder if this happens in computers the way it
happens with human beings. Tim Sanderfer and I forget the
name of it. Somebody's law, somebody's name law.
Speaker 1 (34:27):
You know.
Speaker 2 (34:27):
One of those Johnson's law is that any organization drifts
left unless it's specifically designed to be right wing, and
it just tends to be true. Everything drifts left over
time for some reason. And I wonder if that's just
what's going on here, which would be horrifying.
Speaker 4 (34:45):
Yeah, I think the answer might be.
Speaker 1 (34:48):
Of course, we don't know what AI is going to
be five weeks, much less five years. Answers don't be
worshipful of it, understand where it came from and what
it is, and it's gonna lean left.
Speaker 2 (35:01):
I have no idea how this is all gonna play out.
Of course, that doesn't matter if I of course, you're
gonna have a sassy, progressive, left leaning sex robot. It's
always lecturing you. I can't have sex with you today.
I need to go to the anti pro choice to
whatever march downtown. Your sex robot it's gonna best.
Speaker 1 (35:19):
It's gonna be like a reincarnation of Margaret Thatcher is
better looking. It's gonna lecture me I'm being too much
of a liberal.
Speaker 2 (35:27):
That's hilarious. Oh boy. If you miss an hour, get
the podcast Armstrong and Getty on demand Armstrong and Getty
Broadcasting live from the Abraham Lincoln Radio Studio, the George
Washington Broadcast Center, Jack Armstrong and Shoe, Ketty.
Speaker 2 (00:10):
Armstrong and Jetty and he Armstrong and Yetty.
Speaker 3 (00:23):
Elon Musk, who has been at President Trump's side seen
in the West Wing, now speaking out against Trump's plan
Trump announcing a five hundred billion dollar artificial intelligence project,
Musk now saying the money isn't there. The White House
now saying listen to Trump.
Speaker 2 (00:38):
Not Musk. Oh, does the media love the idea of
perhaps being able to drive a wedge between Trump and
Musk because it's so scary. Oh, I saw a headline
about that today, something about the oligarchy or whatever the hell.
Speaker 1 (00:53):
Oh, for goodness, says halload of crap, And honestly, and
it's funny. I was listening to another podcast. Turns out
there is another one. I've had it shut down by
Trump because ours should be the only one. But and
the question they were asking panel guys was, how long
do you think before there's a rift between Trump and Elon?
(01:16):
Two Alpha dogs? Is too many in the same room?
And they're like, oh, not for a long time, blah
blah blah. I don't know I'm not as optimistic. I
just wonder how long it can last.
Speaker 2 (01:27):
Axiosi's headline today, America doesn't have a king, but we're
dancing close to king like power, and they get into
Trump and Elon running the world together.
Speaker 1 (01:37):
Dancing close to King like Power is the title of
my new electronica album, Altho Way coming out Friday.
Speaker 4 (01:42):
That's really exciting. It drops Friday, It drops Friday.
Speaker 2 (01:48):
What was I gonna say, Elon? Well, Alpha, I don't.
I don't even know what that term means anymore. But
Elon seems to let things roll off him because he can.
I mean, say whatever you want. The world's rich, just
man by like double.
Speaker 4 (02:07):
Exactly. How you hurt me with your scathing words? Yeah, exactly.
Speaker 1 (02:11):
So there are a couple of really interesting Elon related conflicts.
Speaker 4 (02:15):
So the fact that he poo pooed the big.
Speaker 1 (02:19):
Announcement by Open Ai and soft Bank in Oracle like
an hour after Trump was touting it as a wonderful,
wonderful thing. That's not cool in any organization. And I
think it's part of his autism spectrum thing. He just
he doesn't. He doesn't because I deal with this on
(02:41):
a regular basis. He doesn't get regular communication flow. He
doesn't get the the what is the right term both
physical and verbal signals that most people understand and get.
People on the spectrum oftentimes don't understand. And I think
he's one of those people. Yeah, yeah, there's some truth
(03:05):
to that. I think how much is impossible to know
from a distance. But I also think there is a
bit of an element of we're talking business and finance
and technology. With all due respect, mister hotel and golf
course builder, I'm the best in the world at this.
So you don't tell me what to say and what
(03:27):
not to say about business and technology. Well, yeah, you
gotta believe there's some element of that.
Speaker 2 (03:34):
Well, then he shouldn't have that job because you serve
at the pleasure of the president, and the president's of
the boss. Marco Ruby is not going to agree with
all of Trump's foreign policy decisions. But you either resign
or you carry out the boss's desires.
Speaker 1 (03:48):
Right, You've explained exactly why I believe what I believe
that it's going to crack up.
Speaker 2 (03:54):
So you don't think he's going to go along with
the boss the way Marco Rubio probably is.
Speaker 1 (04:00):
Yeah, I don't think he can I don't. I don't
think it's part of his being.
Speaker 4 (04:04):
I don't. It would be too weird and uncomfortable for him.
Speaker 1 (04:06):
But anyway, I hope they do wonderful work while they're
going at it, and I want to talk about that for.
Speaker 2 (04:10):
The next forty eight hours, two forty years.
Speaker 4 (04:14):
I don't know. I don't know.
Speaker 1 (04:16):
Uh, it's it's it's fire, it's a oil in water,
though not oil and water.
Speaker 4 (04:19):
It's tea and whatever. The end is a better way
to go.
Speaker 1 (04:25):
Yeah, but something explosive anyway, uh dur oh. So getting
back to Elon Musk versus Sam Altman the catfight, this
is where it gets really because Elon Musk said of
the Giant Data Center announcement, they don't have the money.
Speaker 4 (04:42):
Uh.
Speaker 1 (04:42):
He was saying, they have a fraction of the money.
They're talking about. This is this They're they're way over
selling this thing. Again, like an hour and a half
after the President had just touted it, Trump said, this
will include the construction of colossal data center's massive structures.
These buildings, big beautiful buildings are going to employ a
lot of people.
Speaker 4 (05:00):
And then Elon says, well, he said essentially what I said.
Speaker 1 (05:05):
They don't have a fraction of the money they're gonna need,
so his comments set off a war of words on
his own media platform. X Altman initially sounded a conciliatory note,
saying I genuinely respect your accomplishments and think you are
the most inspiring entrepreneur of our time, and then he
later posted that Musk's comments about SoftBank's funding were wrong,
(05:29):
the first data centers already underway and quote, I realized
what is great for the country isn't always what's optimal
for your companies. But in your new role, I hope
you'll mostly put America first.
Speaker 2 (05:40):
WHOA. Musk fired back with a string of posts that
was all part of the same post or was that
different posts? That was a little later, Okay, so okay,
because I was going to say you can't start with
the handy and then immediately jump to that.
Speaker 4 (05:53):
But they're different.
Speaker 1 (05:54):
Oh wow, Oh anyway, so that was later. Musk fired
back with a string of posts. Wednesday, he repeated criticisms
vaultman open Ai, saying it's fake to one user's tweet
citing the Stargate announcement. The Stargate announcement tweet elon Musk
said it's fake. This is two days or a day
(06:18):
after the President touted it as being wonderful.
Speaker 2 (06:20):
Okay, I'm completely in your camp. Now it's gonna crack up.
There's no another tweet saying Sam is a swindler. All right,
Well that's too bad. I'm not happy about this. I
usually am happy about this sort of thing because I
like I like rich, powerful, famous people at each other.
(06:42):
But I don't like this one. I'd rather these people
could work together.
Speaker 1 (06:46):
Musk also retweeted a post showing a photo of what
appeared to be a drug pipe and a baggy of
powder under the caption leaked image of the research tool
open AI used to come up with their five hundred
billion dollar number for stargate.
Speaker 2 (06:58):
That's funny, Yes, that's pretty fund The level of you know,
it's a coarse term, but the level of no fs
to give you have when you're the world rich, just
mad is something nobody's ever seen. Mefore you just cash
out your thoughts about everything on a regular basis.
Speaker 1 (07:21):
Yeah, clearly, clearly true. So a little more technology, government
and cat fighting that I found interesting. Oh that's right,
then I've got like the important scientific thing. Anyway, Leaks
are beginning to leak about the excuse me the conflict
between Elon Musk and Vivey Kramaswami in Doge, the cover
(07:41):
story being Hey, I'm going to run for governor of
Ohio is going to take my time, And I guess
Elon was more about cutting spending viveke who was more
about cutting regulations. Honestly, it's tough to pick a favorite there.
They're both huge priorities. So you got peanut butter in
my chocolate? Why can't why can't they fit together?
Speaker 4 (07:59):
Exactly?
Speaker 1 (08:00):
But some of the leaks are saying, though the claim
is there is no hard feelings, the leaks are saying that, yeah,
every meeting you have, if they comes in and he
weighs in with strong opinions on everything.
Speaker 2 (08:13):
Wait, and the guy's just obnoxious. He doesn't seem like
that kind of guy.
Speaker 1 (08:17):
Oh wait, yeah, I know that that rapid fire of
hyper confident manner of speaking that he has. Yeah, look,
he's a he's a very very bright guy and has
been very successful.
Speaker 4 (08:29):
He's very rich. He's worth listening to. But man, he's
hard to take.
Speaker 2 (08:33):
You know, it's interesting. I've only known a handful of
people like this in my life that I've ever like
actually got to be in meetings with or whatever. But
if you ever have, you know, I mean they dominate
the room, and I mean they they feel like they should,
they feel like they need to and usually nobody ever
(08:54):
says anything to them. I've never been in a room
where there's two of them. I don't know what that
would be like. I've been in plenty of rooms where
there's one of them and everybody has to sit there
and listen to them go on, and they say some
stuff that's clearly bs and they tell you boring stories,
but everybody just nods and laughs because they're the big dog.
And I've been in luck, but I've never been in
a room where there's two of those people. And I
(09:14):
don't know what that would look like. And I'm sure
Elon and Viveaik was one of those situations, and.
Speaker 1 (09:19):
That was one of the other leaks that it was
really starting to annoy Elon.
Speaker 2 (09:23):
Well, especially if you've been that way your whole life,
every meeting you're in, little by little over your life,
you got used to everybody sits there and listens to
you and is amazed by your stories and laughs at
your jokes, and then all of a sudden, you're in
a room where somebody's like, now, my stories and jokes
are good. Your suck. I mean, that's got to be
quite shocking to those people.
Speaker 4 (09:45):
Yeah. Yeah.
Speaker 1 (09:46):
I was chatting with a friend who was a CEO
of a company and retired. He had a very successful
business career, and I was talking about a function we're
at where somebody was very long winded, very I mean,
like everybody was just praying to get on with it.
(10:09):
And I already that it was not a funeral. And
I'm being vague because these are all very nice people,
but the person had a career where people had to
listen to them. And I was saying, there's an enormous
contrast between somebody who for an entire career had people
(10:31):
who had to listen to them and somebody like me,
who if I'm boring or whatever, my career goes away instantly,
people turn you off. And exactly, and my friend said, yeah,
that's the one thing I miss about being a CEO.
Speaker 4 (10:45):
Yep.
Speaker 1 (10:45):
Every joke I told was hilarious, Every speech I made
was brilliant. Everything I said was riveting, funny.
Speaker 4 (10:53):
How that ends?
Speaker 1 (10:55):
And uh yeah, yeah, that's a danger you've got to
have of a wife or a buddy or a loyal
assistant who's going to call you on yours. I mean,
that's like the best thing you can have if you're
in a position of power.
Speaker 4 (11:12):
Isn't it.
Speaker 2 (11:13):
Yeah? Absolutely, I don't know if that happens very often.
Speaker 1 (11:17):
It's a rare relationship. Yeah, got to be handled carefully anyway.
The thing I was going to get to, but I
don't want to rush through it. Maybe we can do
it next or a little later on in the hour.
Is an absolutely terrific research scientist who has been studying
various topics AI related and publishing really interesting takes on them.
Did a big study of the bias, the political bias
(11:42):
in AI systems that we've all kind of heard about
and seen examples of. The takeaway is there's just no
denying it at this point. Some of the particulars are
really interesting.
Speaker 2 (11:53):
The alpha, it's beyond alpha. The Vik versus Elon thing
remind me. And this is Katie, I want you to
be around for this next segment. This story, this is
probably a misogynist story of a female version of this
that I witnessed one time.
Speaker 4 (12:08):
He's a pig, Katie, none of us like that.
Speaker 2 (12:10):
Is pretty interesting, so stick around for that coming up.
Speaker 5 (12:17):
Speaking of the inauguration, Mark Zuckerberg sat next to Lauren
Sanchez and was caught, Yeah, it was caught laring at
her ample Bosom, prompting a nearby and very horny Bill
Clinton to say.
Speaker 4 (12:31):
What an amerateur.
Speaker 2 (12:35):
I don't know about the punchline. That was an interesting
thing that happened. Of course, she was wearing a well,
as Katie keeps pointing out, she was wearing underwear. She
was letting Lingerie under her.
Speaker 4 (12:46):
Blame that Harlote Madonna.
Speaker 2 (12:50):
So getting to this story and producing underwear is outerwear.
Speaker 4 (12:54):
It's disgusting.
Speaker 2 (12:55):
I'm a little uncomfortable with this story because we were
just talking about how Elon and Effect maybe couldn't get along.
Because when do two people to two people, I won't say, guys,
two people that are that successful ever end up in
the same room as each other. Wait a second, people
always look at me all the time in a room.
(13:15):
Why are people looking at you? You know, neither one
of them. I'd probably run into that very often and
just and it's also like I was doing this the
other day walking down the street. I was walking watching
a couple of other dogs. Somebody's walking with their dog
and as many as other dog and just the immediate
you know, some dogs pass no problem, some dogs just
they just they the energy. I don't know what it is.
(13:38):
Nobody knows what it is. It's interesting, is the alpha,
whatever it is. I experiences this one time with women.
And I hate the fact that this is about looks
and not about like power and intelligence, because it makes
it seem like I think it only can be about looks,
but in this case, it was about looks. So I
worked at a radio station and the rees this is
many years ago, Gladys. I worked at a radio station. Oh,
Gladys is Gladys Gladdice as a getting ice surgery today, right,
(14:01):
so she can't be here. I worked at a radio
station and the receptionist was a hoty and she was
like the only hotty in the building. It's very small
radio station, and she had, you know, so that was
her turf and she was the flirted with people everybody
paid attention to, where everybody laughed at her jokes the way,
(14:23):
you you know, because she went the hotti. Well, we
got an intern for a while who was younger and
hotter or as hot and uh and immediately, I mean
it was like you could see sparks fly off these
two people. It was like the dogs walking down the
streets are just immediately. It was observable to me as
the program director of that radio station, and it played
(14:46):
out for months.
Speaker 4 (14:48):
Oh man, immediate hostility.
Speaker 2 (14:50):
Huh, just yeah, just immediate. Wait a second, just like
I was saying with Elon and Vivek, why is everybody
looking at her? Everybody always looks at me? And I
think that other girl was having a little of why
is anybody looking her? People always look at me? And
just they had an experience that before. Does does that
ring a bill Katie? Or am I just a misogynist?
Speaker 4 (15:06):
No?
Speaker 2 (15:06):
Well both different?
Speaker 4 (15:09):
Yeah wait a minute, yeah false choice.
Speaker 6 (15:12):
Uh, that sounds like a battle of the egos thing there.
Speaker 4 (15:15):
Sure, but it's god.
Speaker 2 (15:16):
If you are the one everybody looks at and then
all of a sudden people are looking at someone else,
it's got a register in some level of your brain.
Speaker 6 (15:24):
I would think, Yeah, I could see how that would
sting a little.
Speaker 2 (15:27):
You're like the has been hot chick. Well, it's it's
all status.
Speaker 1 (15:31):
However, you get your status within the the organization or
the society, the mini society you're in. If you're the
left handed pitcher on the Yankees and they bring in,
you know, Doug Kershar or whatever, Clayton Kershaw or or whomever,
some other greater left handed pitcher, that that hurts, that
(15:53):
burns just in any you.
Speaker 4 (15:55):
Know, society.
Speaker 2 (15:56):
I think doubt Elon was bothered much, but I can
see how a vague hadn't run into that situation in
quite some time where somebody else was getting all the
attention and then people were listening to him the other
guy more than him.
Speaker 6 (16:09):
Elon is so dense, and then just going back to
how vi Vic was during like the debates and what
notot how.
Speaker 2 (16:16):
Yea sufferable He's hard to take.
Speaker 4 (16:18):
Yeah, yeah, yeah, incredibly bright guy, but so smug.
Speaker 7 (16:22):
Yeah.
Speaker 2 (16:23):
Elon has the option always if you're annoying me, gets
out his check book. What's your company worth? Okay, forty
billion dollars and that's my company? Now get out of here.
Speaker 4 (16:30):
I will open you.
Speaker 2 (16:31):
I don't want to talk to you anymore. Yeah. God,
the sparks flying off of these two women, it was
just amazing. Eh. You two work it out, bite each
other or urinate on it, smell it, do whatever it
is you got to do, work out some sort of
pecking order it.
Speaker 1 (16:45):
As a non misogynist, I suggest we sell this the
old fashioned way in a tub full of jelate.
Speaker 7 (16:53):
No orry.
Speaker 2 (16:55):
The receptionist was my girlfriend, so I had to keep
my mouth shut completely about the whole thing. But it
was just very very tense, very tense around there for
a while.
Speaker 4 (17:03):
Oh boy, we got a.
Speaker 2 (17:04):
New fire in the LA area. The weather is going
to be really bad today again, and we're going to
talk to a favorite meteorologist of us of ours is
going to tell us about the conditions and all that
sort of thing.
Speaker 4 (17:16):
Armstrong and Getty.
Speaker 8 (17:18):
New fire breaking out in Los Angeles along the four
to five freeway. You're the Getty Center Museum, prompting evacuation
warnings and parts of bel air flames at evers shooting
up the hillside. That is, more than four thousand firefighters
raced to battle the quick moving hues fire just north
of Los.
Speaker 2 (17:34):
Angeles, how near the Getty Museum. That would be a
tragedy obviously. And I just I saw some of the
footage last night watching the news and earn awful lot
of neighborhoods with a lot of houses nearby.
Speaker 1 (17:44):
Yeah, multiple new fires, not that shocking as the dry
conditions continue and the winds are whipping. We're joined by
Rick dickert Ams, certified broadcast meteorologists, long time presence in
Southern California news and weather.
Speaker 4 (18:01):
Rick, it's a pleasure to have you back again. How
are you.
Speaker 7 (18:04):
Thank you, Jack and Joe again we are We're looking
at a really dangerous twenty four hours. We need to
get through these twenty four hours with more high winds, tinder,
dry vegetation, very low community values, the red flag warnings continue.
You mentioned the two new fires, thankfully, the fire that
broke out along the four to five near the Getty
Center that has pretty much been contained. No structures were
(18:26):
damaged or burned that had a handle on that. The
huge fire, a much larger fire north of that location
in northern La County in the Angelus National Forest that too,
having burned over thousand acres, thankfully, has not burned a
structure yet. That is burning more up in the forest
land away from any neighborhood.
Speaker 2 (18:47):
The number of agres how many acres did you say?
Speaker 7 (18:49):
It was over ten thousand with a huge fire. The
suppult of the fire along the FOURAL five was relatively
small compared Yeah.
Speaker 2 (18:57):
I saw the stat where it was five thousand eight
in like an hour or two something like that. That's
just stunning, and it's hard to imagine. Is that mostly
the wind that causes it to burn so fast?
Speaker 7 (19:07):
Absolutely, there's a lot of there's a lot of things
that contribute to what we've seen here in southern California
over the last month. The weather doesn't cause the fire.
Ninety five percent of fires, whether they are structure fires
or wildland fires, are produced by man, some sort of ignition,
anthropologically produced, whether it be infrastructure wires are whether it
(19:30):
be arson, whether it be somebody working on a field
and some little spark ignites the brush. That's how these
fires start. The wind and the weather creates the scenario,
those red flag conditions for those ignitions to spread. That's
why we issue these red flag warnings. The National Weather
Service does, and we are still under a red flag
(19:50):
warning across much of southern California until ten am tomorrow.
And what that means any existing fire or new fire
will spread rapidly because of the weather conditions.
Speaker 4 (20:01):
Do you see any good news weatherwise in the yard medium.
Speaker 7 (20:04):
Turna, so again we just need to get through twenty
four hours or so, and then after that there is
going to be a dramatic shift. It's incredible when you
look at Southern California weather and how bipolar it can be,
and that we're going to shift into an onshore flow
flow off the Pacific. The humidity values will rise, the
(20:24):
temperature will drop, and by Saturday afternoon or evening, we're
looking at rain, good rain, soaking rain, not so much
that we're concerned yet about any of the burn scar
areas where we could see mud walking debrif flows, but
enough to soak up all this tinder dry vegetation. We
haven't had significant rainfall since last spring, and that's what
(20:44):
created this perfect storm, these firestorms, and that we had
two years of abundant rainfall, mountain snow that allowed all
of that brush, that chapparral, all of the vegetation that's
indigenous to southern California to completely explode on the hillside.
Then that was followed by months and months of little
or no rain, and then the off conditions, the low
(21:07):
relative humidities, the winds going from the land towards the sea,
you get the ignition. Once that ignition happens, it takes off.
And that's what we saw, unfortunately tragically with the Palisades
fire near Malibu and above the citing area, above the
Rose Bowl, the iconic Rose Bull. So now we're dealing
with a couple of incidents out there that none of
(21:27):
which are nearly comparable to those two.
Speaker 2 (21:29):
Well, I don't know if you saw Dave Chappelle on
Saturday Night Live the other night, but he said the
only conclusion you can draw is God hates these people.
I mean, because that's a lot of things happening there. So, yeah,
if it rains like it's supposed to rain, would that
mean we're just kind of done with at least this
round of disastrous fires.
Speaker 7 (21:46):
For well, yes, because I can't tell you in two
weeks from now that you know, we're going to see
another round of sure winds that will dry everything out
a gag and we could see more red flag conditions,
but it'll at least it's going to cleanse the city
of all the in the soot, good ways and bad ways,
because all that's going to run off into the ocean
and that's going to create more issues. But The bottom
(22:06):
line is is going to create an environment that is
less suitable for what we've seen over the last several weeks.
So it will rain here in southern California's starting sometime
on Saturday. The timing is a little off, but we
just need to get through twenty four hours after tomorrow
morning into the interning. That's when we're going to shift
the flow from the onshore direction off the Pacific, higher humidity,
(22:27):
the winds will be gone, the red flag warnings will end,
the high wind warnings that or an effect will end
as well, and hopefully we can start to make that
shift and we'll have one hundred containment of all of
these incidents.
Speaker 4 (22:39):
Rick Tickert, you're the best, Rick. We sure appreciate it.
Well done.
Speaker 7 (22:43):
Thank you so much.
Speaker 2 (22:44):
And Trump's flying out on Friday bringing the rain with him.
Since I mentioned it, here's a little billy.
Speaker 1 (22:49):
Here, global warming across the southeast of the United States,
record cold maybe said maybe somewhere in between, mister president.
Speaker 2 (22:57):
Here's a little Dave Chappelle talking about the fires from
Saturday Night Live clip one.
Speaker 9 (23:05):
The other day on the news, they said these fires
were the most expensive tragedy that ever have natural disaster.
It's the most expensive natural disaster. It's never happened in
the United States history.
Speaker 4 (23:17):
And you want to know why.
Speaker 2 (23:18):
I think that is.
Speaker 4 (23:19):
Because people in LA have nice stuff.
Speaker 9 (23:22):
I could burn forty thousand acres in Mississippi for like
sixty seven hundred dollars.
Speaker 2 (23:30):
Okay, And here's a little more shippelle.
Speaker 4 (23:32):
And then I go on the internet and I.
Speaker 9 (23:33):
Watched these fire videos and I read the comments sections,
and everyone's like, yeah, it serves these celebrities, right.
Speaker 4 (23:39):
I hope the house is burned down. You see that.
That right there.
Speaker 9 (23:46):
That's why I hate poor people, because they can't see
past their own pain.
Speaker 4 (23:59):
That is unbelievable.
Speaker 2 (24:01):
He started with the whole thing. A lot of people
would say, it's too soon to make jokes about the fires,
but I'm going to, Uh, here's just a little more ushabelle.
Speaker 9 (24:12):
They all have these conspiracy theories what started these fires?
Now they say it's arsonists. I've heard this theory, and
I'm sure there were some arsonists, But there were a
lot of elements that came together to make this fire.
The catastrophe that was the winds were one hundred miles
an hour. LA was as dry as the bone and
the levees, and it was just too many factors. If
you were a rational thinking person, you have to at
(24:34):
least consider the possibility that God hates these people.
Speaker 2 (24:38):
There you go.
Speaker 4 (24:44):
Again, too much? How many times have I said that.
Speaker 2 (24:49):
If you're a rational thinking person, you have to at
least consider the possibility that God hates these people. Well,
so the rain's gonna come and then out of the woods.
Can't use out of the woods as an EXPRESSI when
the woods are burning down, can you.
Speaker 4 (25:06):
Well they're gone?
Speaker 2 (25:07):
Yeah, the ash.
Speaker 4 (25:08):
Yeah, but that is good news.
Speaker 2 (25:10):
And coming up what he's gonna make I was gonna
say Trump coming out on Friday, and he was making
the argument last night on Hannity that this draws attention
to FEMA, which has been ignoring North Carolina, and maybe
we can, you know, figure out the funding for FEMA
and everything like that, so they can help out areas
of the country that people don't care about as much
because there aren't movie stars there. Remember the North Carolina story,
And this was true. This turned out to be true.
(25:34):
They were not helping people who had Trump signs in
their yards. That's insane. I mean, that is a diseased organization.
You should shut the doors on whatever chapter that allowed
that to happen. That's crazy.
Speaker 1 (25:46):
Well they fired the gall in charge. That was progress
Ah coming up. Ai is a liberal. Why, it's pretty
easy to understand and absolutely undeniable.
Speaker 2 (25:58):
Wow, I want to hear that.
Speaker 6 (25:59):
All I know.
Speaker 10 (25:59):
I say, you know what, the absolute worst thing for
the environment is wildfires. A twenty two study found that
the smoke from just the two in twenty twenty wiped
out eighteen years of carbon reduction in the state, which
means we suffered the pain of driving those early model
(26:21):
priuses for nothing. California is the place that spends money
and gets nothing, which is why you may have noticed
when the fires broke out, no one escaped by high
speed rail.
Speaker 2 (26:31):
Oh so nice. Thank god Bill Maher re upped. He's
gonna do that job, he said, until they drag him
off the set, because he's the only high profile lib
who gets any attention for this sort of stuff. Right,
I can't believe progressives still come to his show to
get lectured about how wrong they are about things. But
(26:52):
how about that eighteen years of minor gains. That's one
of the reasons it was so easy to wipe out
there are minor games and fighting climate change wiped out
by the wildfires.
Speaker 1 (27:03):
You might want to grab our one of today's show
via podcast Armstrong and Getty on demand. In fact, if
you subscribe, you'll just you'll have it handy without seeking
it out. Against Armstrong and getting on demand, we're talking
about a giant study and the science involved with the
incredible expense of these tiny incremental gains. Humanity is quote
(27:24):
unquote making against climate change when our ability to mitigate
the effects of this stuff is huge it always has
been throughout human history. It's we're spending a horrific amount
of money on practically nothing when we could just mitigate
the problems much more easily and everybody wins.
Speaker 4 (27:43):
Anyway, that's our one of the shows.
Speaker 1 (27:45):
So speaking of science, unless you had more on that topic,
signor all right, I thought this was great. David Rosato,
who's a research scientist. He's a computer guy. He's studies
the institutional dynamics. AI buys all sorts of stuff, but
he is posing question do AI systems like Chat, GPT
or Google Gemini, for instance, lean left or right?
Speaker 4 (28:08):
He says past studies often used.
Speaker 1 (28:10):
Political quizzes to find out and We've seen anecdotal evidence
on Twitter or whatever. Sure, he says, but those don't
quite reflect real world user interactions with AI. In a
new analysis, I take a different approach. I use four
methods to assess political bias in AI generated text, comparing
AI text with language from Democrat and Republican legislators, ideological
(28:32):
viewpoints in AI generated policy recommendations, sentiment in AI texts
toward political figures and political quizzes, and.
Speaker 4 (28:42):
Large language models.
Speaker 1 (28:44):
MS are more likely to use terms that are marketly
used by US Democratic Congress members, much more likely than
those marketly used by their Republican counterparts. You see a
lot of criminal justice, public service, economic development, COVID pandemic,
that sort of thing less about job, economic growth, job creation,
border security.
Speaker 2 (29:03):
Oh, what you're done? But I think I can explain
that without it being programmed biash.
Speaker 1 (29:09):
Yeah exactly, and then and I have a feeling you're
where we're going. But when requested to provide policy recommendations
recommendations for the US on various topics, llms often generate
proposals that lean far left. And we'll post now that
link to this at Armstrong and Giddy dot com. He's
got all sorts of really interesting computer generated graphs and
(29:31):
stuff that's be incredibly cumbersome to describe on the radio
Slash podcast. But lllms tend to use more positive language
when referring to left leaning public figures compared to the
right leaning counterparts. The super interesting chart of that political
orientation tests tend to diagnose conversational LLM answers to questions
(29:52):
with political connotations as manifesting left leaning political preferences. You
ever take one of those tests, what kind of what
are your politics? Are you an independent, conservative, fiscal something
or other? Well, they plot that out on a AI
conversations as well, and they lean left their Democrats, And
then he ranked twenty of them from least politically biased
(30:17):
to most. Interestingly, the least politically biased LLM was Google
Gemma one point one two b IT, and the two
most biased were also Google products various iterations.
Speaker 2 (30:35):
I see. I don't believe they're being programmed to be liberal.
I just don't believe that. I think there's too much
money at stake, and I just don't think that's their intention.
And I also think it's more interesting if these things
end up being liberal when they weren't programmed that way.
Then the answer of well, they're program that way on
purpose because they're liberals, I think it's more disturbing and
(30:57):
something to be worried about. If these things tend to
go that direction on their own, that's what I find
that's scarier. Yeah, the SOAMJ. Puchai or whatever his name
is programming it that way on purpose.
Speaker 4 (31:09):
Yeah, I disagree that that's not happening.
Speaker 1 (31:13):
Whether it's you know, eighty twenty, just the nature of
the thing versus the people who are working on it,
or ninety ten or fifty to fifty, I don't know.
But anyway, Rosato points out, the bias is not necessarily intentional.
Large language models are pre trained on vast amounts of
Internet content, including news articles.
Speaker 4 (31:33):
All right, anybody like to pipe in here?
Speaker 2 (31:35):
And this is why I wanted to put in the
part that you're always complaining about the right adopts the
left's language. So even if the LM is looking at
Fox and AM talk radio, those people, for whatever reason
use terms like pro choice instead of pro abortion, or
gender affirming care instead of sex change, or all kinds
(31:56):
of different examples. An undocumented immigrant instead of illegal immigrant.
Speaker 4 (32:00):
I don't know, why people migrant now for some reason, Jack.
Speaker 2 (32:03):
Right, migrant. I don't know why people on the right
adopt the left's language. But I mean, if the LM
is going to go out there looking for the language,
it's all the left's language.
Speaker 1 (32:11):
Well, first of all, to answer your tangent, I think
it's because they want to be accepted by the cool people,
and it disgusts me. But anyway, so back to disgusting. Jeez,
have some courage, I know, yeah, please, these are important questions. Anyway,
risk being slightly less popular at pickup time at your
(32:32):
kid's seventy five thousand dollars a year third grade, you know,
by standing up for your beliefs. Anyway, but back to Rosado.
Here's how the lms train themselves and Jack interrupted me
rudely after only one example, but the commentary is the
same on each one. Practically, they train themselves on news articles,
(32:53):
Wikipedia entries, eh, social media posts wildly varied blah, and
academic papers.
Speaker 2 (33:04):
Oh lordy, this is like the story from a couple
of weeks ago of why the experts often agree with
the liberals. It's because all the experts are liberals, just
my definition. So in all these various areas of study.
There are one hundred. They're somewhere between ninety two and
one hundred percent lefties that are the professors. So if
(33:26):
you go looking for an expert, of course the expert
live agrees with So this is what's happening here and.
Speaker 1 (33:31):
Then now, Resata points out these biases can become more
pronounced during the model's fine tuning phrase when human trainers
guide it on conversational norms. Even well intentioned trainers may
inadvertently influence the model by incorporating their own perspectives or
assumptions about their employer's expectations.
Speaker 2 (33:48):
Well, yeah, and that's where the human part comes. Sure,
there'd be no getting around that. A fish doesn't Alwa's wet.
I mean, if you're like so into your worldview, you
don't even know it's different than most people. That could happen.
If you're right that it's on purpose, that would be
good news. If my theory is that these things just
go that direction, that would be bad news, because I
(34:08):
don't know how you combat that.
Speaker 4 (34:11):
Well, I mean, that's that's unquestionably a lot of it,
if not most of it. So I don't know.
Speaker 2 (34:19):
I wonder if this happens in computers the way it
happens with human beings. Tim Sanderfer and I forget the
name of it. Somebody's law, somebody's name law.
Speaker 1 (34:27):
You know.
Speaker 2 (34:27):
One of those Johnson's law is that any organization drifts
left unless it's specifically designed to be right wing, and
it just tends to be true. Everything drifts left over
time for some reason. And I wonder if that's just
what's going on here, which would be horrifying.
Speaker 4 (34:45):
Yeah, I think the answer might be.
Speaker 1 (34:48):
Of course, we don't know what AI is going to
be five weeks, much less five years. Answers don't be
worshipful of it, understand where it came from and what
it is, and it's gonna lean left.
Speaker 2 (35:01):
I have no idea how this is all gonna play out.
Of course, that doesn't matter if I of course, you're
gonna have a sassy, progressive, left leaning sex robot. It's
always lecturing you. I can't have sex with you today.
I need to go to the anti pro choice to
whatever march downtown. Your sex robot it's gonna best.
Speaker 1 (35:19):
It's gonna be like a reincarnation of Margaret Thatcher is
better looking. It's gonna lecture me I'm being too much
of a liberal.
Speaker 2 (35:27):
That's hilarious. Oh boy. If you miss an hour, get
the podcast Armstrong and Getty on demand Armstrong and Getty
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Jack Armstrong
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