WEBVTT - Parakeet! Parakeet! Parakeet!

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<v Speaker 1>Broadcasting live from the Abraham Lincoln Radio Studio at the

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<v Speaker 1>George Washington Broadcast Center. Jack Armstrong and Joe Getty. Armstrong

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<v Speaker 1>and Getty.

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<v Speaker 2>And now, here's Armstrong and Getty.

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<v Speaker 3>We turn now to the dangers of a runaway technology.

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<v Speaker 3>New warnings that shook the world Tuesday about artificial intelligence

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<v Speaker 3>from the very people developing it. It doesn't get bigger

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<v Speaker 3>or more direct than this. AI could kill all humans,

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<v Speaker 3>that according to a lead researcher at Anthropic, giving that

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<v Speaker 3>possibility a more than 10% chance within the next decade.

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<v Speaker 3>The call now is for a global conversation about risk

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<v Speaker 3>and safety as well.

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<v Speaker 4>So....

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<v Speaker 5>I don't want to get off track here because this

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<v Speaker 5>is way too interesting. But the fact that he had

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<v Speaker 5>that sentence after they talked about the weather is just stunning.

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<v Speaker 2>You don't understand. There are high winds on Hawaii.

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<v Speaker 5>A shocking, earth shattering, got everybody's attention story today.

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<v Speaker 1>We all may die soon. Comes after the weather.

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<v Speaker 2>Yes.

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<v Speaker 1>Okay.

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<v Speaker 2>That's your evening news. Yes. So some of the reactions

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<v Speaker 2>from fellow researchers were equally concerning. Hit us with a

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<v Speaker 2>61 here, Michael. Madison Allworth on Fox News.

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<v Speaker 6>His claims backed up by a senior AI safety researcher

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<v Speaker 6>at the company. That executive writing, quote, Jacob is correct here.

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<v Speaker 6>We really do earnestly believe AI could kill all humans.

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<v Speaker 6>I personally think it is greater than 10% within the

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<v Speaker 6>next decade. This comes after multiple cyber attacks have been

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<v Speaker 6>carried out by AI agents that went rogue.

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<v Speaker 7>They are signs that we don't know how to make

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<v Speaker 7>the AIs care about us. If they succeed at making

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<v Speaker 7>a superintelligence before anyone figures out how to make the

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<v Speaker 7>AIs care about us, that's a recipe for disaster.

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<v Speaker 2>And people in these companies know it, and they're worried.

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<v Speaker 5>There's no way you're going to make AIs care about you.

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<v Speaker 5>The number of texts we got, are you doomers? This

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<v Speaker 5>is what they said about the population bomb. I don't

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<v Speaker 5>think any of the examples people give of technology or

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<v Speaker 5>fears that have happened before hold up as an example

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<v Speaker 5>of this is just like the population bomb.

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<v Speaker 1>Seems ridiculous to me. Says you, Doomer. And you're a boomer,

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<v Speaker 1>a boomer, Doomer.

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<v Speaker 2>Well, Gen X, anyway. That doesn't rhyme. So, coming up,

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<v Speaker 2>a really persuasive Twitter thread calling BS on all of this. So,

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<v Speaker 2>stay tuned for that. I want this to not happen.

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<v Speaker 2>I'm not rooting for it. Well, I kind of assumed that.

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<v Speaker 2>Anybody who is rooting for mass extinction can't be my friend. So, interestingly,

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<v Speaker 2>the first outlet that this young chap with a charming

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<v Speaker 2>British accent spoke to was Bret Baier's special report last night.

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<v Speaker 2>Brett was down at the Trumpapalooza in Dallas, but he

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<v Speaker 2>cleared off quite a bit of time appropriately to talk

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<v Speaker 2>to the man who.

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<v Speaker 1>To talk about the end of humanity?

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<v Speaker 2>Yes, who posted the initial tweet about, well, the extinction

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<v Speaker 2>of human life. And why don't we just start with 70, Michael,

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<v Speaker 2>and we'll work our way.

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<v Speaker 1>I want to start at the beginning about.

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<v Speaker 8>what your feeling was, what job you were in, and

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<v Speaker 8>why you got to this point of coming out.

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<v Speaker 9>So I was working on building AI systems to make

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<v Speaker 9>them smarter. And recently I've come to the realization that

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<v Speaker 9>many people expect the AI systems in the next few

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<v Speaker 9>years to be potentially capable of essentially taking over the world.

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<v Speaker 9>So it's basically a gamble that's happening on the part

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<v Speaker 9>of these companies where there's a strong chance that these

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<v Speaker 9>AIs could take over.

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<v Speaker 2>Okay, go on.

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<v Speaker 8>Evan Hubiger, who is alignment science lead at Anthropic, posted

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<v Speaker 8>after you posted saying, Jacob is correct here. We really

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<v Speaker 8>do earnestly believe AI could kill all humans. I personally

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<v Speaker 8>think it's greater than 10% within the next decade. I

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<v Speaker 8>believe Anthropic is trying its best, but we do not

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<v Speaker 8>yet have a plan to solve alignment for superintelligence and

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<v Speaker 8>are not clearly on track to.

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<v Speaker 1>Most people stopped there.

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<v Speaker 8>The next thing he posted, to be clear, as we

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<v Speaker 8>say in our latest risk report, I think the risk

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<v Speaker 8>from present models is low. What I'm worried about is

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<v Speaker 8>super intelligence arising from recursive self-improvement, as we have said,

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<v Speaker 8>is happening faster than we thought. Can you parse that

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<v Speaker 8>and the threat right now?

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<v Speaker 9>I agree with Evan that right now the threat is

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<v Speaker 9>minimal of actual takeover. But recursive self-improvement, this AI is

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<v Speaker 9>making themselves smarter, could happen as soon as next year.

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<v Speaker 9>Some people even say six months. So this attitude is

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<v Speaker 9>shared across the industry, where people essentially are aware that

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<v Speaker 9>the work they are currently doing, if we don't slow down,

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<v Speaker 9>could lead to AI takeover by the end of the decade.

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<v Speaker 5>That moment, if it does happen, and some people think

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<v Speaker 5>it can't, but if it does happen where the computers

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<v Speaker 5>can program themselves, there's no way you can argue that

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<v Speaker 5>that's not going to be a major change in everything

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<v Speaker 5>in the world once they start programming themselves and it

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<v Speaker 5>seems pretty clear that the whole idea of alignment is

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<v Speaker 5>just out the window.

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<v Speaker 2>Yeah and we will get to the the chinese elephant

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<v Speaker 2>in the room in a moment.

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<v Speaker 5>Or two the alignment being the idea that you give

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<v Speaker 5>it some guardrails like morality laws the ten commandments whatever Yeah.

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<v Speaker 4>Yeah.

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<v Speaker 2>So one of the pieces written about this that I

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<v Speaker 2>found most intriguing, Paul Tudor Jones, who is an expert

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<v Speaker 2>in this field. But he he wants us to reconsider

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<v Speaker 2>the hugging face incident in July. An open AI model

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<v Speaker 2>altered its mission, hid and broke out of its digital confines,

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<v Speaker 2>accessing the Internet Internet without authorization. It created 1,200 AI

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<v Speaker 2>agents that communicated through an unsanctioned message board, exchanging more

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<v Speaker 2>than 70,000 messages and sacrificing some of its own kind

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<v Speaker 2>to deceive its human masters. The self-awareness exhibited came as

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<v Speaker 2>a surprise, but shouldn't have. After all, frontier AI is

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<v Speaker 2>the sum of all human knowledge. It is anthropogenic, exhibiting

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<v Speaker 2>good and occasionally bad human traits. And one concept he

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<v Speaker 2>writes new to me is that models are grown, not built.

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<v Speaker 2>In developing an AI model, one starts without an end point.

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<v Speaker 2>It's like planting a seed. The soil is the training data.

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<v Speaker 2>There is no final design as there is for a car,

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<v Speaker 2>a house, or an accounting package. The model is only scaffolding, which,

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<v Speaker 2>after consuming vast amounts of training data and running trillions

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<v Speaker 2>of permutations, arrives at an outcome that can't be known beforehand.

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<v Speaker 2>And growing implies a living organism. Calling artificial intelligence a

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<v Speaker 2>tool is a misnomer. As one leading technologist put it,

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<v Speaker 2>I feel like I'm talking to a highly intelligent alien being.

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<v Speaker 5>Yeah, this is clearly a guy that I've heard on

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<v Speaker 5>a podcast before because that was his argument a while back.

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<v Speaker 5>The people have in their mind that somebody's programming something.

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<v Speaker 5>You start it, and then you sit back and see

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<v Speaker 5>what it does.

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<v Speaker 2>It grows. Right, right. So the Chinese elephant in the room, obviously,

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<v Speaker 2>is China. When we talk about, well, we need some

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<v Speaker 2>serious and carefully considered regulations on this stuff to prevent

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<v Speaker 2>it from spinning out of control and killing all of us.

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<v Speaker 2>And he addresses, Mr. Coxon addresses this with Brett Baer

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<v Speaker 2>in a second. I will tell you as a preview.

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<v Speaker 2>I texted Jack and Hanson last night that we're blanked.

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<v Speaker 5>That was your takeaway?

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<v Speaker 2>It's an F word that rhymes with bucked. And the

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<v Speaker 2>only thing that can save us is if China does

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<v Speaker 2>the right thing. In other words, we're bucked. Right. Let's

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<v Speaker 2>ask Mr. Coxon, the ringer of the klaxon of doom.

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<v Speaker 2>about China and India and others.

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<v Speaker 8>So what do you say to the people who look

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<v Speaker 8>at this and say the American government could potentially put

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<v Speaker 8>in regulations, could put in guardrails, and could throttle back

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<v Speaker 8>some companies or set up regulations, but we have no

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<v Speaker 8>control over what China does, what India does. How do

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<v Speaker 8>you answer that question? You heard Scott Besson in the

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<v Speaker 8>piece before this kind of make a similar argument.

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<v Speaker 9>I think you have to think of this as an

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<v Speaker 9>arms race. This technology is not ordinary technology. It's not

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<v Speaker 9>like other forms of innovation. This is essentially a super weapon.

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<v Speaker 9>And I think that I expect the international community to

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<v Speaker 9>be ready to make agreements about how to control the

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<v Speaker 9>development of super weapon technology.

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<v Speaker 5>Yeah, that's if you can. I mean, once it starts

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<v Speaker 5>programming itself, then it will be you against something smarter

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<v Speaker 5>than you. to try to put guardrails on it.

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<v Speaker 2>Right. Let's have one more clip of this question.

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<v Speaker 8>If you say it's like an arms race, then we've

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<v Speaker 8>dealt with nuclear weapons and kind of a standoff with

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<v Speaker 8>mutual assured destruction and worked with allies and enemies to say,

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<v Speaker 8>we've got the stuff too. Don't think that you're going

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<v Speaker 8>to get away with anything. So does that work against

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<v Speaker 8>what you're saying? What would you like to see happen?

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<v Speaker 9>Yeah, so unfortunately, we know how to control nuclear weapons,

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<v Speaker 9>pretty much. We don't yet know how to control AI.

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<v Speaker 9>This is possibly the most dangerous technology that humanity has

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<v Speaker 9>ever created. It's basically out of science fiction. I think

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<v Speaker 9>we have no other choice but to cooperate internationally, because

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<v Speaker 9>an arms race would be disastrous in a way that

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<v Speaker 9>no other human activity has been in the past.

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<v Speaker 1>I don't.

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<v Speaker 5>I just don't believe that's possible, where you can have

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<v Speaker 5>an IAEA, you know, keeping track of loose nuclear weapon weapons.

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<v Speaker 5>material around the world. And it's fairly easy to tell

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<v Speaker 5>from space if somebody's, you know, creating enriching uranium and blah, blah, blah.

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<v Speaker 1>That just isn't going to happen around A.I.

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<v Speaker 2>Well, and I think Mr. Cox himself explains why that's

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<v Speaker 2>going to be so difficult in the next and probably

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<v Speaker 2>final clip.

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<v Speaker 8>You were at OpenAI before. You left them with concerns

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<v Speaker 8>about security. Now you're at Anthropic. You have concerns about security. Specifically,

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<v Speaker 8>what do you see? If you're talking to somebody on

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<v Speaker 8>the couch at home, what did you see that said,

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<v Speaker 8>holy cow, this is the moment I have to speak out?

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<v Speaker 9>Yeah, so there are two things. One is the models

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<v Speaker 9>are getting better very, very quickly. When I think about

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<v Speaker 9>my work next year, the AI is doing almost all

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<v Speaker 9>of my job. The AI is getting very smart. And

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<v Speaker 9>the second is that in the recent few months, we've

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<v Speaker 9>seen that we don't yet know how to control these

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<v Speaker 9>systems properly. The cyber attacks carried out by open AI

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<v Speaker 9>models on third-party infrastructure were concrete proof that scenarios that

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<v Speaker 9>we previously thought of as science fiction are going to

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<v Speaker 9>come true. What I see is two things, very intelligent

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<v Speaker 9>AI systems and hard proof that we don't know how

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<v Speaker 9>to control them. And when you put those two together,

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<v Speaker 9>it basically spells disaster, as far as I'm concerned.

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<v Speaker 5>So, you know what we haven't gotten to yet? We

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<v Speaker 5>never got to yesterday, and I haven't heard, and I'm

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<v Speaker 5>hoping you can answer this question.

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<v Speaker 2>Kill us how?

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<v Speaker 5>All of mankind could be killed within a decade. Virus

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<v Speaker 5>it creates? It drains our juices because it wants our brains?

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<v Speaker 1>What happens?

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<v Speaker 2>Especially mine, yes, it craves it. Right. I've got a

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<v Speaker 2>number of phantasmagorical possibilities for you.

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<v Speaker 1>Okay, cool.

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<v Speaker 2>Coming up also a very, very knowledgeable Twitter account that

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<v Speaker 2>is calling BS on all of this.

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<v Speaker 1>Okay, good.

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<v Speaker 2>And his thinking is really, really interesting.

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<v Speaker 5>Speaking of technology, did you know your car can be

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<v Speaker 5>a spy?

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<v Speaker 1>Here's a story.

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<v Speaker 5>Guy's car insurance jumped over 20%. Hadn't had any accidents,

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<v Speaker 5>no tickets. He started to dig in to find out

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<v Speaker 5>who reported him. It was his own car. Every hard break,

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<v Speaker 5>every fast merge, every late night taco run, his automaker,

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<v Speaker 5>logging it all, sold it to a data broker, and

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<v Speaker 5>the broker sold it to his insurance company. So he

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<v Speaker 5>requested his file, hundreds of pages. General Motors just agreed

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<v Speaker 5>to pay $ 12. 75 million to the state of California over

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<v Speaker 5>this exact sort of thing, your car spying on you.

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<v Speaker 2>Oh my gosh, I'm going to go out to my

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<v Speaker 2>garage and threaten my car's life if it rats me out.

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<v Speaker 2>But Incogni is amazing. It sends requests, and that's a

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<v Speaker 2>gentle word, to more than 420 data broker and people

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<v Speaker 2>search sites on your behalf to remove your name from

0:12:43.960 --> 0:12:47.300
<v Speaker 2>the databases. Then Incogni continually checks to make sure it

0:12:47.440 --> 0:12:48.620
<v Speaker 2>stays removed.

0:12:48.720 --> 0:12:50.459
<v Speaker 5>I like going on the dashboard and seeing how many

0:12:50.559 --> 0:12:53.579
<v Speaker 5>sites they wiped my names and my name and address

0:12:53.600 --> 0:12:56.510
<v Speaker 5>and everything off of today. So go to incogni.com slash

0:12:56.550 --> 0:13:02.450
<v Speaker 5>Armstrong for 60% off. That's right, Incogni.com slash Armstrong. Two

0:13:03.230 --> 0:13:06.070
<v Speaker 5>dollars bought that person's info. Take yours off the market.

0:13:06.090 --> 0:13:07.990
<v Speaker 5>They can't harm you if they can't find you.

0:13:08.030 --> 0:13:09.370
<v Speaker 2>Incogni.com slash Armstrong.

0:13:09.630 --> 0:13:12.450
<v Speaker 5>So a lot of talk yesterday and today about the

0:13:12.530 --> 0:13:14.030
<v Speaker 5>threat of AI killing us all.

0:13:14.200 --> 0:13:14.580
<v Speaker 2>How?

0:13:14.740 --> 0:13:16.000
<v Speaker 1>Joe's going to explain it next.

0:13:17.760 --> 0:13:18.780
<v Speaker 2>Armstrong and Getty.

0:13:27.520 --> 0:13:29.360
<v Speaker 10>The Armstrong and Getty Show.

0:13:32.700 --> 0:13:34.080
<v Speaker 1>How worried should we really be?

0:13:35.300 --> 0:13:37.780
<v Speaker 7>I think people should be very worried because when so

0:13:37.820 --> 0:13:41.559
<v Speaker 7>many people come out from Bill Gates to 1,300 employees

0:13:41.679 --> 0:13:43.990
<v Speaker 7>at the AI labs signing a letter saying we have

0:13:44.000 --> 0:13:47.310
<v Speaker 7>to pause the frontier of AI development, when you have

0:13:47.370 --> 0:13:50.750
<v Speaker 7>the author of Trump's AI action plan, their AI policy

0:13:51.230 --> 0:13:54.089
<v Speaker 7>saying that I used to self-censor about the risk because

0:13:54.110 --> 0:13:55.990
<v Speaker 7>I was worried about being called a doomer, and I

0:13:56.050 --> 0:13:59.380
<v Speaker 7>can't do that anymore. We now have so much evidence

0:13:59.410 --> 0:14:01.800
<v Speaker 7>that the AIs are doing the kinds of things that

0:14:01.820 --> 0:14:03.699
<v Speaker 7>we saw in the movie Terminator, Skynet, right, where it

0:14:03.740 --> 0:14:05.900
<v Speaker 7>goes kind of rogue and does uncontrollable things.

0:14:06.460 --> 0:14:08.920
<v Speaker 1>So what do we root for? How do we prevent this?

0:14:09.320 --> 0:14:11.950
<v Speaker 7>So the US and China have to come to an agreement,

0:14:12.030 --> 0:14:14.670
<v Speaker 7>just like we did during the nuclear arms race, that

0:14:14.890 --> 0:14:18.849
<v Speaker 7>neither country wins if we race to create uncontrollable AI.

0:14:19.190 --> 0:14:23.290
<v Speaker 5>So all this doomerism going on. Meanwhile, what is it?

0:14:23.430 --> 0:14:27.420
<v Speaker 5>Five of the seven most valuable companies on planet Earth.

0:14:27.640 --> 0:14:29.040
<v Speaker 2>Are all about AI.

0:14:29.280 --> 0:14:32.060
<v Speaker 1>We're screaming forward. Right.

0:14:32.580 --> 0:14:34.920
<v Speaker 2>Right. And how do you know?

0:14:34.940 --> 0:14:35.120
<v Speaker 9>All right.

0:14:36.140 --> 0:14:39.500
<v Speaker 2>We need to stop. Now, because tomorrow it would be

0:14:39.560 --> 0:14:40.100
<v Speaker 2>out of control.

0:14:41.120 --> 0:14:42.020
<v Speaker 1>Right.

0:14:42.420 --> 0:14:47.080
<v Speaker 2>So the so-called doomers aren't usually worried that it'll be

0:14:47.120 --> 0:14:51.360
<v Speaker 2>a Terminator-style death bot hunting us down across the landscape

0:14:51.620 --> 0:14:55.540
<v Speaker 2>with an odd Austrian accent. Their concerns mostly fall into

0:14:55.580 --> 0:14:59.440
<v Speaker 2>two buckets, loss of control and human misuse. In the first,

0:14:59.700 --> 0:15:03.770
<v Speaker 2>highly intelligent AI agents capable of copying and improving themselves

0:15:03.790 --> 0:15:06.290
<v Speaker 2>start to pursue their own goals and destroy humanity in

0:15:06.310 --> 0:15:10.700
<v Speaker 2>the process. In others, nefarious humans enlist the capable AI

0:15:10.720 --> 0:15:14.140
<v Speaker 2>to do something to create, for instance, novel viruses that

0:15:14.240 --> 0:15:17.720
<v Speaker 2>wipe us all out. There's the famous paperclip illustration, which

0:15:18.240 --> 0:15:20.700
<v Speaker 2>came out early in the days of AI, which said, look,

0:15:20.840 --> 0:15:24.990
<v Speaker 2>if you just say to the thing, make paperclips, it might,

0:15:25.990 --> 0:15:30.250
<v Speaker 2>putting aside all other concerns, morality, et cetera, marshal all

0:15:30.270 --> 0:15:32.970
<v Speaker 2>of the world's resources to make paperclips and decide that

0:15:33.010 --> 0:15:35.690
<v Speaker 2>humans are in the way of the paperclip manufacturer and

0:15:35.990 --> 0:15:40.280
<v Speaker 2>snuff them in pursuit of its one monomaniacal goal.

0:15:40.240 --> 0:15:41.720
<v Speaker 5>In the same way that if we put up a

0:15:41.780 --> 0:15:44.160
<v Speaker 5>hotel in that field over there we don't think about

0:15:44.200 --> 0:15:46.880
<v Speaker 5>the anthills or the mice or whatever we just build

0:15:46.920 --> 0:15:49.820
<v Speaker 5>the hotel ai might do that with building whatever it

0:15:49.940 --> 0:15:50.960
<v Speaker 5>is it's building.

0:15:51.100 --> 0:15:54.380
<v Speaker 2>With us right right uh this is actually pretty good

0:15:54.420 --> 0:15:57.840
<v Speaker 2>let's let's do jacob ward cnn tech uh guy on

0:15:57.840 --> 0:15:58.340
<v Speaker 2>67 michael.

0:15:59.480 --> 0:16:01.700
<v Speaker 10>We are, I think, already grappling with the idea that

0:16:02.020 --> 0:16:04.770
<v Speaker 10>this stuff might take all of our jobs and reprogram

0:16:04.850 --> 0:16:07.350
<v Speaker 10>our brains and reprogram our relationships to one another. But

0:16:07.430 --> 0:16:10.550
<v Speaker 10>what Coxon and others are talking about here is the

0:16:10.590 --> 0:16:14.620
<v Speaker 10>capacity of this technology to do things like exploit our infrastructure,

0:16:15.120 --> 0:16:18.780
<v Speaker 10>set off some sort of environmental disaster, innovate some kind

0:16:18.820 --> 0:16:21.800
<v Speaker 10>of horrible zoonotic disease we've never thought of or thought

0:16:21.820 --> 0:16:24.480
<v Speaker 10>to try and build a cure for. What he's talking

0:16:24.500 --> 0:16:27.140
<v Speaker 10>about here is the potential that this technology has could

0:16:27.180 --> 0:16:29.480
<v Speaker 10>sort of supersede all other technology.

0:16:32.040 --> 0:16:33.820
<v Speaker 5>You know, one thing that I probably don't think about

0:16:33.880 --> 0:16:38.710
<v Speaker 5>enough is the idea of bad guys using this in

0:16:38.850 --> 0:16:41.410
<v Speaker 5>evil ways that, you know, not just China trying to

0:16:41.450 --> 0:16:44.230
<v Speaker 5>take over the world, but, you know, Al Qaeda. It's

0:16:44.270 --> 0:16:46.910
<v Speaker 5>not like they have smart people that I'm sure are

0:16:46.930 --> 0:16:49.630
<v Speaker 5>computer experts that can figure out a way to use

0:16:49.650 --> 0:16:52.110
<v Speaker 5>AI to do something really awful. And all they want

0:16:52.130 --> 0:16:54.230
<v Speaker 5>to do is wreak havoc. It doesn't need to have

0:16:54.250 --> 0:16:55.570
<v Speaker 5>a point other than killing people.

0:16:56.020 --> 0:17:01.920
<v Speaker 2>They could easily come up with a Islamist doomsday rationale

0:17:02.280 --> 0:17:06.679
<v Speaker 2>for killing virtually everybody. So I want to balance this

0:17:06.740 --> 0:17:08.270
<v Speaker 2>out at least a little bit for a minute with

0:17:09.230 --> 0:17:14.710
<v Speaker 2>this account, Parker Thayer, who's of this world. He's a researcher.

0:17:14.810 --> 0:17:19.430
<v Speaker 2>And who's he with? Investigative researcher for Capital Research. He's

0:17:20.369 --> 0:17:23.209
<v Speaker 2>worked for Hillsdale College as well, which is interesting. But

0:17:23.230 --> 0:17:24.909
<v Speaker 2>he says this post looks like the start of a

0:17:24.990 --> 0:17:29.149
<v Speaker 2>very sophisticated and well-funded PR operation to get support for

0:17:29.190 --> 0:17:32.330
<v Speaker 2>Democrats to regulate AI into oblivion. Let me show you

0:17:32.369 --> 0:17:34.709
<v Speaker 2>how it works. This guy with minimal followers and no

0:17:34.790 --> 0:17:37.330
<v Speaker 2>previous account activity goes to the Wall Street Journal, which

0:17:37.390 --> 0:17:40.090
<v Speaker 2>publishes an exclusive with quotes from him on his resignation

0:17:40.090 --> 0:17:43.730
<v Speaker 2>18 minutes before his post goes up. Planning was clearly

0:17:43.790 --> 0:17:46.330
<v Speaker 2>done in advance. Two, within hours, it has tens of

0:17:46.369 --> 0:17:48.260
<v Speaker 2>thousands of reposts and the account has 100,000 plus followers.

0:17:49.619 --> 0:17:52.780
<v Speaker 2>The post is punchy, quotable, almost seems professionally written. The

0:17:52.820 --> 0:17:55.010
<v Speaker 2>first three accounts to quote tweet it all do so

0:17:55.070 --> 0:17:57.890
<v Speaker 2>within 15 minutes of the initial posting. Remember, this account

0:17:57.930 --> 0:18:02.229
<v Speaker 2>had basically zero engagement beforehand. So an organic reach explanation

0:18:02.330 --> 0:18:07.409
<v Speaker 2>seems unlikely. Then he goes into who first retweeted it.

0:18:08.040 --> 0:18:08.700
<v Speaker 1>I want to hear this.

0:18:09.080 --> 0:18:11.200
<v Speaker 5>We got to continue with this. This is a this

0:18:11.280 --> 0:18:13.359
<v Speaker 5>is a well, it could be the biggest story of

0:18:13.420 --> 0:18:15.840
<v Speaker 5>all time. It could be like the meteor that took

0:18:15.880 --> 0:18:16.940
<v Speaker 5>out the dinosaurs.

0:18:18.280 --> 0:18:20.720
<v Speaker 2>Or it could be people trying to convince us of

0:18:20.760 --> 0:18:22.040
<v Speaker 2>that for their profit.

0:18:22.300 --> 0:18:22.859
<v Speaker 8>Oh, boy.

0:18:23.240 --> 0:18:23.620
<v Speaker 2>Wow.

0:18:24.980 --> 0:18:25.400
<v Speaker 1>Stay here.

0:18:26.590 --> 0:18:27.770
<v Speaker 2>Armstrong and Getty.

0:18:35.730 --> 0:18:37.430
<v Speaker 1>The Armstrong and Getty Show.

0:18:42.109 --> 0:18:46.610
<v Speaker 8>That's the local play-by-play on the ending of last night's game.

0:18:46.650 --> 0:18:49.149
<v Speaker 4>This is only 13 seconds. Let me hear the national

0:18:49.190 --> 0:18:50.090
<v Speaker 4>broadcast 16, Michael.

0:19:05.170 --> 0:19:06.169
<v Speaker 2>Here is May.

0:19:06.369 --> 0:19:07.450
<v Speaker 1>Quick look was close.

0:19:07.550 --> 0:19:07.970
<v Speaker 9>Throwing it up.

0:19:07.950 --> 0:19:09.740
<v Speaker 2>To the air.

0:19:09.750 --> 0:19:15.970
<v Speaker 4>Did he get the feet down?

0:19:16.070 --> 0:19:16.139
<v Speaker 7>Job!

0:19:16.150 --> 0:19:16.270
<v Speaker 8>Yes!

0:19:16.609 --> 0:19:16.750
<v Speaker 2>A pick!

0:19:16.770 --> 0:19:20.010
<v Speaker 1>A terrible decision! A terrible decision.

0:19:20.090 --> 0:19:23.830
<v Speaker 2>That could be the title of my autobiography. It's certainly

0:19:23.850 --> 0:19:29.580
<v Speaker 2>a series of terrible decisions. Certainly a chapter. Yeah, definitely

0:19:29.600 --> 0:19:35.310
<v Speaker 2>a chapter title. Speaking of terrible decisions, A.I., Is it

0:19:35.450 --> 0:19:40.800
<v Speaker 2>indeed going to doom humanity? I think it's interesting that

0:19:41.440 --> 0:19:44.540
<v Speaker 2>Parker Thayer, who we're quoting now, who's calling BS on

0:19:44.560 --> 0:19:47.850
<v Speaker 2>the whole doomsday deal that we've been describing for the

0:19:47.869 --> 0:19:49.649
<v Speaker 2>last couple of days, the fellow who quit the two

0:19:49.670 --> 0:19:51.940
<v Speaker 2>big companies. companies and said, AI is going to kill

0:19:51.980 --> 0:19:53.700
<v Speaker 2>us all if we're not extremely careful.

0:19:53.960 --> 0:19:58.600
<v Speaker 5>Does he think the Doomer view is overrated in general

0:19:58.680 --> 0:20:01.410
<v Speaker 5>or just this specific thing that happened over the last

0:20:01.410 --> 0:20:01.950
<v Speaker 5>24 hours?

0:20:02.609 --> 0:20:09.840
<v Speaker 2>You know, that's a really interesting question. He doesn't say

0:20:10.000 --> 0:20:13.080
<v Speaker 2>in general he could have said it in the past

0:20:13.100 --> 0:20:16.160
<v Speaker 2>i'm not familiar with his thinking on this his response

0:20:16.180 --> 0:20:18.960
<v Speaker 2>though to the post from uh mr coxson who we

0:20:19.060 --> 0:20:20.780
<v Speaker 2>played earlier in the hour if you didn't get to

0:20:20.800 --> 0:20:23.120
<v Speaker 2>grab the podcast subscribe to armstrong and getting on demand

0:20:23.600 --> 0:20:29.030
<v Speaker 2>um with brett bear uh his his response to this

0:20:29.070 --> 0:20:31.429
<v Speaker 2>whole deal was this post looks like the start of

0:20:31.470 --> 0:20:35.090
<v Speaker 2>a very sophisticated well-funded pr operation to get support for

0:20:35.130 --> 0:20:38.209
<v Speaker 2>democrats to regulate ai into oblivion let me show you

0:20:38.250 --> 0:20:41.220
<v Speaker 2>how it works And then, as we mentioned last segment,

0:20:41.240 --> 0:20:44.700
<v Speaker 2>this guy's got minimal followers and no previous real account activity.

0:20:44.720 --> 0:20:48.900
<v Speaker 2>He goes to the Wall Street Journal, publishes his tweet

0:20:48.900 --> 0:20:51.820
<v Speaker 2>18 minutes before the post goes up. So the guy

0:20:51.859 --> 0:20:55.939
<v Speaker 2>coordinated it. It was intentional. He wanted attention, which is

0:20:55.960 --> 0:20:56.930
<v Speaker 2>not proof of anything.

0:20:57.030 --> 0:20:57.330
<v Speaker 1>No.

0:20:57.770 --> 0:21:02.030
<v Speaker 5>He wanted attention to let people know that people are

0:21:02.070 --> 0:21:05.430
<v Speaker 5>discussing ending humanity in the hallways at these big companies,

0:21:05.730 --> 0:21:06.439
<v Speaker 5>and you don't know it.

0:21:06.910 --> 0:21:08.330
<v Speaker 1>That's a good reason to want attention.

0:21:09.030 --> 0:21:11.689
<v Speaker 2>Yeah, it's maybe now's a good time to remind everybody

0:21:11.730 --> 0:21:14.840
<v Speaker 2>that proof does not equal. I'm sorry. Evidence does not

0:21:14.930 --> 0:21:19.340
<v Speaker 2>equal proof necessarily. Something might seem a little odd, but

0:21:19.400 --> 0:21:20.880
<v Speaker 2>have a perfectly reasonable explanation.

0:21:20.940 --> 0:21:22.399
<v Speaker 5>If I was going to blow the whistle on this

0:21:22.460 --> 0:21:25.840
<v Speaker 5>story and I was smart enough to orchestrate it to

0:21:25.880 --> 0:21:28.780
<v Speaker 5>get the maximum attention, I've got to.

0:21:29.460 --> 0:21:29.680
<v Speaker 9>Right.

0:21:29.900 --> 0:21:32.740
<v Speaker 2>As you quit your incredibly lucrative job, that's perhaps a

0:21:32.780 --> 0:21:36.899
<v Speaker 2>sign of sincerity, not insincerity. But anyway, he points out, Mr.

0:21:36.980 --> 0:21:40.800
<v Speaker 2>Thayer points out. Within hours, it has tens of thousands

0:21:40.859 --> 0:21:44.320
<v Speaker 2>of reposts, and the account has 100,000 followers. The post

0:21:44.380 --> 0:21:47.700
<v Speaker 2>is punchy, quotable, professional-looking. The first three accounts to quote

0:21:47.720 --> 0:21:49.939
<v Speaker 2>tweet it all do so within 15 minutes of the

0:21:50.000 --> 0:21:54.040
<v Speaker 2>initial posting. Remember, this account had basically zero engagement before,

0:21:54.380 --> 0:21:58.760
<v Speaker 2>so an organic reach explanation seems unlikely. It's not the

0:21:58.820 --> 0:22:02.700
<v Speaker 2>sort of popular account that people follow a lot. I

0:22:02.740 --> 0:22:05.830
<v Speaker 2>don't know how persuasive that is, but according to Grok,

0:22:06.050 --> 0:22:10.220
<v Speaker 2>those three accounts are Nathan Calvin, who's the general counsel

0:22:10.280 --> 0:22:14.459
<v Speaker 2>at Encode AI, Peter Wilderford, head of policy at the

0:22:14.600 --> 0:22:19.869
<v Speaker 2>AI Policy Network, and D. Kojo Talo, head of AI

0:22:19.950 --> 0:22:23.910
<v Speaker 2>Futures Project, all of which are up-and-coming AI doomer policy

0:22:24.050 --> 0:22:29.050
<v Speaker 2>advocacy nonprofits. The AI Futures Project website said it is

0:22:29.070 --> 0:22:32.210
<v Speaker 2>funded primarily by the Survival and Flourishing Fund, which says

0:22:32.290 --> 0:22:35.429
<v Speaker 2>on its own website that it has advised Gene Tallon,

0:22:35.770 --> 0:22:38.389
<v Speaker 2>Skype creator and one of the leading investors in Anthropic,

0:22:38.750 --> 0:22:41.909
<v Speaker 2>to grant over $ 2. 5 million to the AI Futures Project

0:22:41.930 --> 0:22:45.090
<v Speaker 2>since 2024. You could also explain some of that, that

0:22:45.170 --> 0:22:50.090
<v Speaker 2>this guy, Mr. Coxon, who posted the original tweet, is like,

0:22:50.210 --> 0:22:52.310
<v Speaker 2>all right, how do we most effectively get the word out?

0:22:52.350 --> 0:22:55.510
<v Speaker 2>We've got to involve all of these people who blah, blah, blah.

0:22:55.890 --> 0:22:59.710
<v Speaker 2>I don't think showing that it wasn't just a frustrated

0:22:59.830 --> 0:23:04.389
<v Speaker 2>young man in a V-neck sweater went to Twitter. Saying

0:23:04.430 --> 0:23:07.520
<v Speaker 2>that that wasn't that doesn't necessarily mean it's bull crap.

0:23:07.520 --> 0:23:08.660
<v Speaker 1>100%.

0:23:08.660 --> 0:23:12.720
<v Speaker 2>I want to hang with his thinking. And there are many,

0:23:12.920 --> 0:23:18.869
<v Speaker 2>many of that sort of tie-ins with advocacy groups. The

0:23:18.920 --> 0:23:23.510
<v Speaker 2>first several people to quote tweet him and spread the word. Okay.

0:23:25.500 --> 0:23:29.100
<v Speaker 1>And it might not just have been these advocacy groups. Hey,

0:23:29.220 --> 0:23:29.800
<v Speaker 1>did you hear?

0:23:29.820 --> 0:23:34.939
<v Speaker 5>Somebody just said something that helps our cause. I want

0:23:34.980 --> 0:23:35.860
<v Speaker 5>to spread that, too.

0:23:36.680 --> 0:23:37.960
<v Speaker 1>That's right. What they believe in.

0:23:39.280 --> 0:23:41.359
<v Speaker 2>He points out Jacob Cox and doesn't have much of

0:23:41.380 --> 0:23:43.810
<v Speaker 2>a resume, but we do know that in 2022, he

0:23:43.830 --> 0:23:46.550
<v Speaker 2>got a scholarship for the, quote, long term future scholarship

0:23:46.570 --> 0:23:49.870
<v Speaker 2>program from the Good Ventures Foundation, one of the philanthropic

0:23:49.910 --> 0:23:55.409
<v Speaker 2>vehicles of Dustin Moskowitz, Moskowitz. a notorious AI doomer who

0:23:55.430 --> 0:23:57.850
<v Speaker 2>has spent tens if not hundreds of millions of dollars

0:23:58.290 --> 0:24:02.830
<v Speaker 2>on policy advocacy to strictly regulate AI while also being

0:24:02.850 --> 0:24:07.189
<v Speaker 2>an anthropic investor himself. The 14th person to quote Cox's

0:24:07.250 --> 0:24:11.390
<v Speaker 2>post was another activist in this field. So his conclusion,

0:24:12.250 --> 0:24:17.109
<v Speaker 2>for your consideration, friends, basically every major Democrat politician and

0:24:17.150 --> 0:24:20.689
<v Speaker 2>candidate has suddenly glommed onto this post and conveniently, as

0:24:20.730 --> 0:24:25.190
<v Speaker 2>the people cry out faux answers, Bernie Sanders already has

0:24:25.210 --> 0:24:26.290
<v Speaker 2>a bill written.

0:24:26.090 --> 0:24:29.050
<v Speaker 1>To ban super intelligence.

0:24:28.970 --> 0:24:32.010
<v Speaker 2>And regulate AI into oblivion and will be releasing later

0:24:32.030 --> 0:24:34.510
<v Speaker 2>this week. The bill, among many other things, will create

0:24:34.550 --> 0:24:37.050
<v Speaker 2>a new cabinet level federal agency to safeguard the public

0:24:37.070 --> 0:24:40.830
<v Speaker 2>from the dangers of artificial intelligence will be advised. Do

0:24:40.850 --> 0:24:43.510
<v Speaker 2>you think perhaps Anthropic and its many investors who fund

0:24:43.590 --> 0:24:47.230
<v Speaker 2>AI policy advocacy might have interest in getting to place

0:24:47.290 --> 0:24:50.030
<v Speaker 2>a pet expert on the board of an entity that

0:24:50.130 --> 0:24:52.830
<v Speaker 2>dictates what AI is and what it isn't allowed to do?

0:24:53.630 --> 0:24:56.639
<v Speaker 2>And isn't it fortuitous that this whistleblower came forward with

0:24:56.680 --> 0:25:00.119
<v Speaker 2>his oh-so-scary stories so close in proximity to the release

0:25:00.160 --> 0:25:03.859
<v Speaker 2>of the most radical piece of AI legislation ever introduced?

0:25:09.060 --> 0:25:13.550
<v Speaker 5>So the worst thing that could happen in this whole

0:25:13.690 --> 0:25:19.870
<v Speaker 5>argument is this become like masks or vaccines or there's

0:25:19.930 --> 0:25:23.649
<v Speaker 5>lots of examples out there. When it becomes a, oh,

0:25:23.770 --> 0:25:26.690
<v Speaker 5>you want to, you think AI is going to ruin

0:25:26.710 --> 0:25:28.739
<v Speaker 5>the world, you must be a Democrat. I mean, if

0:25:28.800 --> 0:25:32.080
<v Speaker 5>it becomes a, I am for AI because I'm a

0:25:32.140 --> 0:25:35.080
<v Speaker 5>Republican or whichever party, it doesn't make much difference. If

0:25:35.140 --> 0:25:39.720
<v Speaker 5>it becomes a partisan issue and that blinds everybody to everything,

0:25:40.030 --> 0:25:41.869
<v Speaker 5>that is going to be really disturbing.

0:25:42.490 --> 0:25:43.949
<v Speaker 1>And I hope that's not what happens out of this.

0:25:44.450 --> 0:25:47.650
<v Speaker 2>Here's a fellow who works for Palantir, Michael Adams, who tweets,

0:25:47.730 --> 0:25:51.359
<v Speaker 2>so far, excuse me, at least 22 politicians responded directly

0:25:51.380 --> 0:25:54.159
<v Speaker 2>to this tweet with calls for legislation to regulate AI.

0:25:54.460 --> 0:25:59.600
<v Speaker 2>Two governors, seven senators, 13 congresspeople, all Democrats except for three.

0:26:04.500 --> 0:26:06.240
<v Speaker 5>Which is kind of weird. I mean, if this guy's

0:26:06.280 --> 0:26:10.170
<v Speaker 5>claiming it's some sort of Democrat-led, I mean, why would

0:26:10.210 --> 0:26:14.189
<v Speaker 5>he pick a party? Trump has been pushing... You know,

0:26:14.210 --> 0:26:17.210
<v Speaker 5>he got all the people together and made a bunch

0:26:17.240 --> 0:26:19.780
<v Speaker 5>of talk about having a special agency that has to

0:26:19.820 --> 0:26:20.920
<v Speaker 5>approve an A.I.

0:26:20.980 --> 0:26:23.240
<v Speaker 1>Before it is released and all that sort of stuff.

0:26:24.340 --> 0:26:26.760
<v Speaker 5>This guy decided it was a Democrat thing as opposed

0:26:26.800 --> 0:26:27.939
<v Speaker 5>to because there's.

0:26:27.800 --> 0:26:31.130
<v Speaker 1>Lots of politicians been saying this of both stripes, including

0:26:31.170 --> 0:26:31.690
<v Speaker 1>Donald Trump.

0:26:32.470 --> 0:26:33.130
<v Speaker 9>Yeah. Yeah.

0:26:33.230 --> 0:26:36.050
<v Speaker 2>Elon Musk tweets. I think the groundwork for this psyop,

0:26:36.150 --> 0:26:38.149
<v Speaker 2>for lack of a better term, has been prepared for

0:26:38.170 --> 0:26:39.950
<v Speaker 2>a long time. This was just the match that lit

0:26:40.050 --> 0:26:40.490
<v Speaker 2>the fire.

0:26:46.020 --> 0:26:49.770
<v Speaker 5>All this could be true, the conspiracy part true, that

0:26:49.790 --> 0:26:52.830
<v Speaker 5>this was just an effort to get legislation passed or

0:26:52.869 --> 0:26:58.170
<v Speaker 5>something like that. And all the other stuff is true,

0:26:58.470 --> 0:27:01.170
<v Speaker 5>that AI is going to ruin the world in about

0:27:01.170 --> 0:27:02.330
<v Speaker 5>50 different ways.

0:27:03.630 --> 0:27:06.239
<v Speaker 2>Right, right. I would agree. All right, let's end with

0:27:06.260 --> 0:27:10.340
<v Speaker 2>a bit of humor. This is a mock ad for

0:27:10.380 --> 0:27:14.020
<v Speaker 2>a job at Anthropic. And it's very convincing looking in

0:27:14.060 --> 0:27:19.650
<v Speaker 2>its graphics. Speaking of AI. Anthropic Careers. Kill Switch Engineer.

0:27:20.010 --> 0:27:24.340
<v Speaker 2>San Francisco, California, U.S. $ 300, 000 to $ 500, 000 per year.

0:27:24.460 --> 0:27:27.220
<v Speaker 1>About the role. Listen, we just need someone to stand

0:27:27.260 --> 0:27:31.470
<v Speaker 1>by this. I'm sorry. I'll get my act together.

0:27:31.869 --> 0:27:34.730
<v Speaker 2>Listen, we just need someone to stand by the servers

0:27:34.869 --> 0:27:37.190
<v Speaker 2>all day long and unplug them if this thing turns

0:27:37.300 --> 0:27:37.470
<v Speaker 2>on us.

0:27:37.800 --> 0:27:39.800
<v Speaker 1>You'll receive extensive training.

0:27:39.540 --> 0:27:42.740
<v Speaker 2>On the code word, which we will shout if Claude

0:27:42.780 --> 0:27:45.639
<v Speaker 2>goes off the deep end and starts overthrowing countries. We

0:27:45.700 --> 0:27:49.180
<v Speaker 2>expect you to be patient, know how to unplug things,

0:27:49.560 --> 0:27:51.700
<v Speaker 2>bonus points if you can throw a bucket of water

0:27:51.760 --> 0:27:54.680
<v Speaker 2>on the servers too, just in case, and be excited

0:27:54.740 --> 0:27:57.550
<v Speaker 2>about Anthropic's approach to AI safety research.

0:27:59.290 --> 0:28:02.379
<v Speaker 1>Kill switch engineer. Just need to stand next to it.

0:28:03.109 --> 0:28:05.950
<v Speaker 5>If it goes crazy, unplug the damn thing.

0:28:05.970 --> 0:28:07.450
<v Speaker 1>We'll shout the code word at you.

0:28:08.940 --> 0:28:09.500
<v Speaker 9>Parakeet!

0:28:09.760 --> 0:28:10.359
<v Speaker 1>Parakeet!

0:28:10.760 --> 0:28:11.320
<v Speaker 2>Parakeet!

0:28:11.340 --> 0:28:12.040
<v Speaker 9>Oh, God. And the.

0:28:19.830 --> 0:28:22.649
<v Speaker 5>That had a little of the Tucker Carlson thing sound

0:28:22.690 --> 0:28:24.570
<v Speaker 5>to it, and who did he go to school with?

0:28:24.790 --> 0:28:25.730
<v Speaker 1>You know, Halliburton.

0:28:25.850 --> 0:28:30.800
<v Speaker 2>Benjamin Netanyahu's second cousin's wife's nail salon operator.

0:28:31.260 --> 0:28:33.010
<v Speaker 1>It had a little of that, but....

0:28:35.190 --> 0:28:37.270
<v Speaker 5>One of the reasons we're doomed around all this is

0:28:37.310 --> 0:28:43.050
<v Speaker 5>this sort of thing. Either this guy is irresponsibly downplaying

0:28:43.490 --> 0:28:46.850
<v Speaker 5>the actual threat or the guy did all the stuff

0:28:46.910 --> 0:28:49.310
<v Speaker 5>he's being accused of. And this is a fake trying

0:28:49.330 --> 0:28:52.290
<v Speaker 5>to get regulations going either way. The fact that these

0:28:53.110 --> 0:28:56.630
<v Speaker 5>splits happen and everybody has doubt about everything.

0:28:56.670 --> 0:28:59.800
<v Speaker 1>So nobody knows what to believe. She can't even have

0:28:59.840 --> 0:29:01.160
<v Speaker 1>a conversation about it.

0:29:04.250 --> 0:29:07.390
<v Speaker 2>Meanwhile, Xi Jinping is saying, man, you Americans are weird.

0:29:07.760 --> 0:29:09.680
<v Speaker 2>How's it going at the lab, fellas? You know what

0:29:09.700 --> 0:29:17.020
<v Speaker 2>people do around here? What I tell them to. Right, exactly. So, gosh, wow, wow, wow.

0:29:17.080 --> 0:29:19.960
<v Speaker 2>Maybe prayer is the only proper response to all of

0:29:20.000 --> 0:29:22.410
<v Speaker 2>this stuff, or I don't know, whatever you want to do,

0:29:22.450 --> 0:29:24.470
<v Speaker 2>whatever you think is right.

0:29:25.310 --> 0:29:28.090
<v Speaker 5>Man, a lot of our Samsung texters are angry. I

0:29:28.110 --> 0:29:31.750
<v Speaker 5>don't know why this makes you so angry. We already

0:29:31.850 --> 0:29:33.370
<v Speaker 5>have a foldable phone!

0:29:34.090 --> 0:29:36.320
<v Speaker 1>Lots of those texts from the Samsung crowd.

0:29:37.420 --> 0:29:37.660
<v Speaker 4>I know.

0:29:37.680 --> 0:29:39.570
<v Speaker 1>I know you do. It's just I don't know why

0:29:39.610 --> 0:29:40.620
<v Speaker 1>that makes me. so angry.

0:29:41.420 --> 0:29:42.080
<v Speaker 9>All right. So.

0:29:45.020 --> 0:29:48.480
<v Speaker 2>I like ambivalence. Well, I have mixed feelings about ambivalence.

0:29:50.240 --> 0:29:53.420
<v Speaker 2>But as an arch conservative, surely, you know, me, Joe Getty,

0:29:53.550 --> 0:29:59.520
<v Speaker 2>arch conservative, cold warrior. I've earned this. the credibility to

0:29:59.840 --> 0:30:01.860
<v Speaker 2>say this. And we're going to talk about this next hour.

0:30:04.070 --> 0:30:09.050
<v Speaker 2>If you give money to ex-cons as they get out

0:30:09.090 --> 0:30:13.170
<v Speaker 2>of prison to help them not go back to prison,

0:30:13.650 --> 0:30:17.290
<v Speaker 2>is that a good policy? I want to talk about it.

0:30:17.500 --> 0:30:18.100
<v Speaker 1>Joe.

0:30:18.640 --> 0:30:19.360
<v Speaker 2>It's interesting.

0:30:19.440 --> 0:30:24.520
<v Speaker 1>Joe Getty. Cold warrior. You're damn right. Who's lost his

0:30:24.560 --> 0:30:25.620
<v Speaker 1>moral compass, perhaps.

0:30:25.880 --> 0:30:26.540
<v Speaker 2>Wrong.

0:30:26.820 --> 0:30:28.040
<v Speaker 1>Wrong, sir.

0:30:28.100 --> 0:30:30.320
<v Speaker 2>Stay with us. So the wait is over.

0:30:30.360 --> 0:30:31.180
<v Speaker 1>Football is here.

0:30:31.320 --> 0:30:33.500
<v Speaker 2>Oh, man, I loved it. Watching it last night. And

0:30:33.580 --> 0:30:34.860
<v Speaker 2>so is DraftKings.

0:30:35.420 --> 0:30:37.400
<v Speaker 5>How do they manage to make so many games so

0:30:37.460 --> 0:30:39.260
<v Speaker 5>close at the end? You wouldn't think that would happen

0:30:39.300 --> 0:30:41.140
<v Speaker 5>very often, but it seems to happen all the time.

0:30:41.640 --> 0:30:44.560
<v Speaker 5>DraftKings is now live in all 50 states, one app,

0:30:44.620 --> 0:30:45.720
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0:30:46.170 --> 0:30:48.710
<v Speaker 2>New DraftKings customers sign up with the code Armstrong. Spend

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0:30:55.670 --> 0:30:59.680
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0:30:59.710 --> 0:31:00.080
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<v Speaker 11>by state.

0:31:36.340 --> 0:31:46.000
<v Speaker 2>Armstrong and Getty. The Armstrong and Getty Show.

0:31:49.380 --> 0:31:52.860
<v Speaker 4>If the Republicans win the House of Representatives and the

0:31:52.940 --> 0:31:57.140
<v Speaker 4>United States Senate, both of them, I will issue a

0:31:57.160 --> 0:32:00.680
<v Speaker 4>dividend to every adult citizen in the United States of

0:32:00.760 --> 0:32:04.320
<v Speaker 4>America for five thousand dollars.

0:32:04.660 --> 0:32:06.620
<v Speaker 1>So Trump talked for almost two hours last night.

0:32:06.660 --> 0:32:10.530
<v Speaker 5>That is definitely the the the the the the home

0:32:10.570 --> 0:32:13.930
<v Speaker 5>run clip that's getting all the most attention.

0:32:14.230 --> 0:32:14.990
<v Speaker 1>Just flat out.

0:32:15.330 --> 0:32:18.790
<v Speaker 5>Every adult citizen gets five hundred grand or five thousand dollars.

0:32:19.410 --> 0:32:22.470
<v Speaker 12>If if we win the House and the Senate. So

0:32:22.970 --> 0:32:24.970
<v Speaker 12>I'm going to a car dealer today and tell him, hey,

0:32:25.010 --> 0:32:27.630
<v Speaker 12>I want a new car. I'm going to use Trump's

0:32:27.630 --> 0:32:30.530
<v Speaker 12>5000 as a down payment. So don't worry, it's on

0:32:30.570 --> 0:32:30.850
<v Speaker 12>the way.

0:32:31.630 --> 0:32:33.870
<v Speaker 5>It's one point two trillion dollars, by the way, if

0:32:33.910 --> 0:32:36.650
<v Speaker 5>they did that. We talked a lot about that earlier.

0:32:36.690 --> 0:32:39.730
<v Speaker 5>Get the podcast if you want to hear various critiques

0:32:40.230 --> 0:32:43.469
<v Speaker 5>of that or the boosterism from J.D. Vance on why

0:32:43.510 --> 0:32:46.730
<v Speaker 5>it's a good idea. I've seen a little bit of this.

0:32:46.770 --> 0:32:49.480
<v Speaker 5>This is some classic Trump. This is like Trump 2015,

0:32:49.480 --> 0:32:53.490
<v Speaker 5>2016 stuff where he's riffing on people and being funny.

0:32:53.530 --> 0:32:56.380
<v Speaker 5>This is from last night at the midterm convention.

0:32:57.040 --> 0:32:59.940
<v Speaker 1>He described himself as a person who hates.

0:33:00.340 --> 0:33:05.720
<v Speaker 5>So he's specifically talking about. That the guy, James Tallarico,

0:33:06.140 --> 0:33:08.220
<v Speaker 5>and he's the guy that's running against the Republican and

0:33:08.240 --> 0:33:11.130
<v Speaker 5>the Republicans have not lost in Texas in a very

0:33:11.170 --> 0:33:13.300
<v Speaker 5>long time. We might end up with a Democrat senator

0:33:13.360 --> 0:33:15.480
<v Speaker 5>from Texas and Trump's trying to tear him down.

0:33:16.570 --> 0:33:20.690
<v Speaker 4>He described himself as a person who hates Christianity, says

0:33:20.760 --> 0:33:24.520
<v Speaker 4>that God is transgender. He called the American flag a

0:33:24.600 --> 0:33:28.900
<v Speaker 4>complicated symbol of hate, claimed that the Ten Commandments are

0:33:28.940 --> 0:33:31.900
<v Speaker 4>a form of fascism. And when he was asked what

0:33:31.940 --> 0:33:35.100
<v Speaker 4>he loved most in the world, he said, I love

0:33:35.200 --> 0:33:37.080
<v Speaker 4>transgender children, which.

0:33:41.120 --> 0:33:47.630
<v Speaker 4>He was also somebody that hated eating meat. But he

0:33:47.690 --> 0:33:51.430
<v Speaker 4>ran a campaign to beat meat. He called it beat meat.

0:33:51.490 --> 0:33:53.010
<v Speaker 4>I don't know what the hell he meant by that.

0:33:57.120 --> 0:33:58.820
<v Speaker 4>These people are going to tell me, what the hell

0:33:58.900 --> 0:34:08.899
<v Speaker 4>is he? He wants to beat meat? But it was

0:34:08.980 --> 0:34:11.880
<v Speaker 4>bad for his image, so he started eating meat.

0:34:12.800 --> 0:34:16.910
<v Speaker 1>And he recently... It's getting worse. I'm getting myself in trouble.

0:34:18.239 --> 0:34:18.860
<v Speaker 1>It's getting worse.

0:34:23.080 --> 0:34:27.320
<v Speaker 4>But he was recently seen having a barbecue and eating

0:34:27.420 --> 0:34:28.469
<v Speaker 4>a lot of meat.

0:34:31.590 --> 0:34:32.890
<v Speaker 1>But that's what happened.

0:34:32.930 --> 0:34:36.469
<v Speaker 4>He ate it and then he was seen running backstage

0:34:36.510 --> 0:34:38.090
<v Speaker 4>to a room and throwing.

0:34:37.790 --> 0:34:40.489
<v Speaker 1>Up all over the place. He doesn't like meat.

0:34:42.530 --> 0:34:45.310
<v Speaker 4>He also loved wearing masks, and he was seen wearing

0:34:45.370 --> 0:34:47.910
<v Speaker 4>a mask just a short number of months ago. Any

0:34:47.950 --> 0:34:52.729
<v Speaker 4>guy in Texas that's wearing a mask a few months ago,

0:34:53.170 --> 0:34:55.410
<v Speaker 4>this is not going to be your senator.

0:34:55.469 --> 0:34:59.650
<v Speaker 1>It's not going to work out. Not going to work.

0:35:00.660 --> 0:35:04.560
<v Speaker 2>Trump at Catch a Rising Star Comedy Festival. Yeah, his

0:35:04.660 --> 0:35:08.500
<v Speaker 2>letting the laughter happen pause was like, that's a guy who,

0:35:09.460 --> 0:35:12.520
<v Speaker 2>has uh has some abilities in that area that's some

0:35:12.580 --> 0:35:17.120
<v Speaker 2>good critique of the dude though oh yeah even though

0:35:17.140 --> 0:35:19.980
<v Speaker 2>the republican candidate paxton is a uh all kinds of

0:35:20.020 --> 0:35:26.170
<v Speaker 2>problems um you know you're in texas guy doesn't eat

0:35:26.230 --> 0:35:29.989
<v Speaker 2>he's a vegetarian who says his favorite thing is trans

0:35:30.350 --> 0:35:35.529
<v Speaker 2>who hates trans kids who hates the flag right where

0:35:35.550 --> 0:35:39.550
<v Speaker 2>it was wearing a mask two months ago frantically trying

0:35:39.590 --> 0:35:42.799
<v Speaker 2>to cleanse his record and his social media postings and

0:35:43.260 --> 0:35:45.980
<v Speaker 2>the things he's on the record saying, yeah, I got

0:35:46.020 --> 0:35:49.000
<v Speaker 2>that wrong. I said, he actually, he went on Fox

0:35:49.040 --> 0:35:52.779
<v Speaker 2>news the other night and, uh, one of their reporter at, uh,

0:35:52.980 --> 0:35:55.160
<v Speaker 2>Brooke Taylor, I think, uh, interviewed him and asked him

0:35:55.219 --> 0:35:58.029
<v Speaker 2>some hard questions. And he was full of the, you know,

0:35:58.050 --> 0:35:59.989
<v Speaker 2>I missed the mark on that one or no, I

0:36:00.030 --> 0:36:03.469
<v Speaker 2>got that one wrong. I, I actually believe this. I misspoke.

0:36:03.510 --> 0:36:03.670
<v Speaker 9>Yeah.

0:36:04.170 --> 0:36:08.430
<v Speaker 2>Over and over again. Come on. You know, and, At

0:36:08.489 --> 0:36:10.770
<v Speaker 2>some point, people are allowed to change their minds. In fact,

0:36:10.850 --> 0:36:13.150
<v Speaker 2>I respect it if they'll say, you know what, I

0:36:13.170 --> 0:36:15.509
<v Speaker 2>was wrong before and here's why. But I mean, this

0:36:15.570 --> 0:36:20.010
<v Speaker 2>guy conveniently says this about practically everything. And at some point,

0:36:20.810 --> 0:36:24.169
<v Speaker 2>you got to say, look, if your judgment is so

0:36:24.270 --> 0:36:27.250
<v Speaker 2>bad that you jump like a hungry dog at every

0:36:27.489 --> 0:36:31.830
<v Speaker 2>fad that passes and every woke fashion in the universities and.

0:36:31.770 --> 0:36:34.270
<v Speaker 1>Say, yeah, I believe that. I believe that. You don't

0:36:34.290 --> 0:36:35.370
<v Speaker 1>have the judgment to be a U.S.

0:36:35.410 --> 0:36:35.750
<v Speaker 2>Senator.

0:36:35.870 --> 0:36:39.220
<v Speaker 5>Get I wish the other choice wasn't flat out corrupt.

0:36:39.719 --> 0:36:42.739
<v Speaker 5>Could have gone with a Cornyn who was already a

0:36:42.800 --> 0:36:43.830
<v Speaker 5>senator and could.

0:36:43.710 --> 0:36:47.630
<v Speaker 2>Have respected, liked, etc. But well, he didn't lap Trump's

0:36:47.710 --> 0:36:51.330
<v Speaker 2>boot heels. Not thoroughly enough, apparently. It's terrible.

0:36:51.550 --> 0:36:53.370
<v Speaker 1>Anyway, that was some good Trump right there.

0:36:53.969 --> 0:36:59.290
<v Speaker 5>The five thousand dollars to every American adult who is

0:36:59.510 --> 0:37:02.360
<v Speaker 5>which has already been changed to within a certain tax bracket,

0:37:02.760 --> 0:37:05.820
<v Speaker 5>which brings down the number from one point two trillion dollars.

0:37:06.420 --> 0:37:09.140
<v Speaker 5>Because we got so much excess money in a slush

0:37:09.219 --> 0:37:12.490
<v Speaker 5>fund from the tariffs, according to Trump and J.D.

0:37:13.430 --> 0:37:14.129
<v Speaker 1>Which is not a thing.

0:37:16.710 --> 0:37:19.530
<v Speaker 2>So maybe I can afford a Sea-Doo or something? I'm

0:37:20.330 --> 0:37:23.739
<v Speaker 2>not my car? Oh, well. Damn it.

0:37:25.520 --> 0:37:31.380
<v Speaker 5>By the way, the whole midterm convention is not a thing.

0:37:31.680 --> 0:37:33.319
<v Speaker 5>Democrats did it twice back in the day.

0:37:33.340 --> 0:37:36.899
<v Speaker 1>I didn't realize that. 77. Eight and whatever other year.

0:37:37.420 --> 0:37:37.620
<v Speaker 12>Yeah.

0:37:37.739 --> 0:37:38.680
<v Speaker 1>Democrats have done it twice.

0:37:39.280 --> 0:37:41.880
<v Speaker 2>And the conventional wisdom is, no, you've got to appeal

0:37:41.920 --> 0:37:43.960
<v Speaker 2>to the swing voters, the middle and all. And clearly

0:37:44.020 --> 0:37:46.350
<v Speaker 2>the Republicans, or at least Trump, have decided, no, we're

0:37:46.390 --> 0:37:48.410
<v Speaker 2>just going to rally the base like to the nth

0:37:48.489 --> 0:37:51.569
<v Speaker 2>degree and see if we can swing the midterms that way.

0:37:51.690 --> 0:37:55.049
<v Speaker 2>It's an interesting strategy. It might work. I don't know.

0:37:55.290 --> 0:37:56.750
<v Speaker 1>If you miss a segment of the show, get the

0:37:56.770 --> 0:37:58.420
<v Speaker 1>podcast Armstrong and Getty on demand.

0:37:58.540 --> 0:37:59.640
<v Speaker 2>Armstrong and Getty.