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. And now, here's Armstrong and Getty.

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<v Speaker 2>We turn now to the dangers of a runaway technology.

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<v Speaker 2>New warnings that shook the world Tuesday about artificial intelligence

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<v Speaker 2>from the very people developing it. It doesn't get bigger

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<v Speaker 2>or more direct than this. AI could kill all humans,

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<v Speaker 2>that according to a lead researcher at Anthropic, giving that

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<v Speaker 2>possibility a more than 10% chance within the next decade.

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<v Speaker 2>The call now is for a global conversation about risk

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<v Speaker 2>and safety as well.

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<v Speaker 3>So- I don't want to get off track here because

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<v Speaker 3>this is way too interesting. But the fact that he

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<v Speaker 3>had that sentence after they talked about the weather.

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<v Speaker 1>It's just stunning. Well, you don't understand. There are high

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<v Speaker 1>winds on Hawaii.

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<v Speaker 3>A shocking, earth-shattering, got-everybody's-attention story today, we all may die soon.

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<v Speaker 1>Comes after the weather. Yes.

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<v Speaker 4>Okay.

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<v Speaker 1>That's your evening news.

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<v Speaker 5>Yes.

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<v Speaker 1>So some of the reactions from fellow researchers were equally concerning.

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<v Speaker 1>Hit us with 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.

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<v Speaker 8>If they succeed at making a superintelligence before anyone figures

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<v Speaker 8>out how to make the AIs care about us, that's

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<v Speaker 8>a recipe for disaster.

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<v Speaker 1>And people in these companies know it, and they're worried.

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<v Speaker 3>There's no way you're going to make AIs care about you.

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<v Speaker 3>The number of texts we got, are you doomers? This

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<v Speaker 3>is what they said about the population bomb. I don't

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<v Speaker 3>think any of the examples people give of technology or

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<v Speaker 3>fears that.

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<v Speaker 1>Have happened before.

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<v Speaker 3>hold up as an example of, this is just like

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<v Speaker 3>the population bomb, seems ridiculous to me.

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<v Speaker 1>Says you, Doomer. And you're a boomer, a boomer-doomer. Well,

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<v Speaker 1>Gen X, anyway. That doesn't rhyme. So, coming up, a

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<v Speaker 1>really persuasive Twitter thread calling BS on all of this. So,

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<v Speaker 1>stay tuned for that.

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<v Speaker 3>I want this to not happen. I'm not rooting for it. Well,

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<v Speaker 3>I kind of assumed that.

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<v Speaker 1>Anybody who is rooting for mass extinction can't be my friend.

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<v Speaker 9>Ha!

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<v Speaker 1>So interestingly, the first outlet that this young chap with

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<v Speaker 1>a charming British accent spoke to was Bret Baier's special

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<v Speaker 1>report last night. Bret was down at the Trumpapalooza in Dallas,

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<v Speaker 1>but he cleared off quite a bit of time, appropriately,

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<v Speaker 1>to talk to the man who posted this. To talk

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<v Speaker 1>about the end of humanity? Yes, who posted the initial

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<v Speaker 1>tweet about, well, the extinction of human life. And why

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<v Speaker 1>don't we just start with 70, Michael, and we'll work

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<v Speaker 1>our way.

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<v Speaker 9>I want to start at the beginning about what your

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<v Speaker 9>feeling was, what job you were in, and why you

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<v Speaker 9>got to this point of coming out.

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<v Speaker 7>So I was working on building AI systems to make

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<v Speaker 7>them smarter. And recently I've come to the realization that

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<v Speaker 7>many people expect the AI systems in the next few

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<v Speaker 7>years to be potentially capable of essentially taking over the world.

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<v Speaker 7>It's basically a gamble that's happening on the part of

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<v Speaker 7>these companies where there's a strong chance that these AIs

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<v Speaker 7>could take over.

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<v Speaker 1>Okay, go on.

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<v Speaker 9>Evan Hubiger, who is alignment science lead at Anthropic, posted

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<v Speaker 9>after you posted saying, Jacob is correct here. We really

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<v Speaker 9>do earnestly believe AI could kill all humans. I personally

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<v Speaker 9>think it's greater than 10% within the next decade. I

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<v Speaker 9>believe Anthropic is trying its best, but we do not

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<v Speaker 9>yet have a plan to solve alignment for superintelligence and

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<v Speaker 9>are not clearly on track to.

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<v Speaker 1>Most people stopped there.

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<v Speaker 9>The next thing he posted, to be clear, as we

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<v Speaker 9>say in our latest risk report, I think the risk

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<v Speaker 9>from present models is low. What I'm worried about is

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<v Speaker 9>superintelligence arising from recursive self-improvement, as we have said, is

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<v Speaker 9>happening faster than we thought. Can you parse that and

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<v Speaker 9>the threat right now?

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<v Speaker 7>I agree with Evan that right now the threat is

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<v Speaker 7>minimal of actual takeover. But because of self-improvement, this AI

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<v Speaker 7>is making themselves smarter could happen as soon as next year.

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<v Speaker 7>Some people even say six months. So this attitude is

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<v Speaker 7>shared across the industry where people essentially are aware that

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<v Speaker 7>the work they are currently doing, if we don't slow down,

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<v Speaker 7>could lead to AI takeover by the end of the decade.

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<v Speaker 3>That moment, if it does happen, and some people think

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<v Speaker 3>it can't, but if it does happen where the computers

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<v Speaker 3>can program themselves, there's no way. you can argue that

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<v Speaker 3>that's not going to be a major change in everything

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<v Speaker 3>in the world once they start programming themselves. And it

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<v Speaker 3>seems pretty clear that the whole idea of alignment is

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<v Speaker 3>just out the window.

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<v Speaker 1>Yeah, and we will get to the Chinese elephant in

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<v Speaker 1>the room in a moment or two.

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<v Speaker 3>The alignment being the idea that you give it some

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<v Speaker 3>guardrails like morality and laws, the Ten Commandments, whatever.

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<v Speaker 1>Yeah, yeah. So one of the pieces written about this

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<v Speaker 1>that I found most intriguing, Paul Tudor Jones, who is

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<v Speaker 1>an expert in this field, but he wants us to

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<v Speaker 1>reconsider the Hugging Face incident in July. An open AI

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<v Speaker 1>model altered its mission, hid, and broke out of its

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<v Speaker 1>digital confines, accessing the internet without authorization. It created 1,200

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<v Speaker 1>AI agents that communicated through an unsanctioned message board, exchanging

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<v Speaker 1>more than 70,000 messages and sacrificing some of its own

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<v Speaker 1>kind to deceive its human masters. The self-awareness exhibited came

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<v Speaker 1>as a surprise, but shouldn't have. After all, frontier AI

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<v Speaker 1>is the sum of all human knowledge. It is anthropogenic,

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<v Speaker 1>exhibiting good and occasionally bad human traits. And one concept

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<v Speaker 1>he writes new to me is that models are grown,

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<v Speaker 1>not built. In developing an AI model, one starts without

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<v Speaker 1>an endpoint. It's like planting a seed. The soil is

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<v Speaker 1>the training data. There is no final design as there

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<v Speaker 1>is for a car, a house, or an accounting package.

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<v Speaker 1>The model is only scaffolding, which, after consuming vast amounts

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<v Speaker 1>of training data and running trillions of permutations, arrives at

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<v Speaker 1>an outcome that can't be known beforehand. And growing implies

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<v Speaker 1>a living organism. Calling artificial intelligence a tool is a misnomer.

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<v Speaker 1>As one leading technologist put it, I feel like I'm

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<v Speaker 1>talking to a highly intelligent alien being.

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<v Speaker 3>Yeah, this is clearly a guy that I've heard on

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<v Speaker 3>a podcast before because that was his argument a while back. The...

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<v Speaker 3>people have in their mind that somebody's programming something, you,

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<v Speaker 3>you start it and then you sit back and see

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<v Speaker 3>what it does. It grows.

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<v Speaker 1>So the, uh, the Chinese elephant in the room obviously is, uh, China.

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<v Speaker 1>When we talk about, well, we need some serious and

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<v Speaker 1>carefully considered regulations on this stuff to prevent it from

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<v Speaker 1>spinning out of control and, and killing all of us. Um,

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<v Speaker 1>And he addresses, Mr. Coxon addresses this with Brett Baer

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<v Speaker 1>in a second. I will tell you as a preview,

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<v Speaker 1>I texted Jack and Hanson last night that we're blanked.

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<v Speaker 1>That was your takeaway? It's an F word that rhymes

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<v Speaker 1>with bucked. And the only thing that can save us

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<v Speaker 1>is if China does the right thing. In other words,

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<v Speaker 1>we're bucked. Right. Let's ask Mr. Coxon, the ringer of

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<v Speaker 1>the klaxon of doom, about China and India and others.

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<v Speaker 9>So what do you say to the people who look

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<v Speaker 9>at this and say the American government could potentially put

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<v Speaker 9>in regulations, could put in guardrails, and could throttle back

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<v Speaker 9>some companies or set up regulations, but we have no

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<v Speaker 9>control over what China does, what India does.

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<v Speaker 1>How do you answer that question?

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<v Speaker 9>You heard Scott Besson in the piece before this kind

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<v Speaker 9>of make a similar argument.

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<v Speaker 7>I think you have to think of this as an

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<v Speaker 7>arms race. This technology is not ordinary technology. It's not

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<v Speaker 7>like other forms of innovation. This is essentially a super weapon.

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<v Speaker 7>And I think that I expect the international community to

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<v Speaker 7>be ready to make agreements about how to control the

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<v Speaker 7>development of super weapon technology.

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<v Speaker 1>Yeah, that's if you can.

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<v Speaker 3>I mean, once it starts programming itself, then it will

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<v Speaker 3>be you against something smarter than you to try to

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<v Speaker 3>put guardrails on it.

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<v Speaker 7>Right.

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<v Speaker 1>Let's have one more clip of this question.

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<v Speaker 9>If you say it's like an arms race, then we've

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<v Speaker 9>dealt with nuclear weapons and kind of a standoff with

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<v Speaker 9>mutual assured destruction and worked with allies and enemies to

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<v Speaker 9>say we've got the stuff too. Don't think that you're

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<v Speaker 9>going to get away with anything. So does that work

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<v Speaker 9>against what you're saying? What would you like to see happen?

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<v Speaker 7>Yeah, so unfortunately, we know how to control nuclear weapons,

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<v Speaker 7>pretty much. We don't yet know how to control AI.

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<v Speaker 7>This is possibly the most dangerous technology that humanity has

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<v Speaker 7>ever created. It's basically out of science fiction. I think

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<v Speaker 7>we have no other choice but to cooperate internationally, because

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<v Speaker 7>an arms race would be disastrous in a way that

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<v Speaker 7>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 3>I just don't believe that's possible, where you can have

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<v Speaker 3>an IAEA keeping track of loose nuclear weapon material around

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<v Speaker 3>the world, and it's fairly easy to tell from space

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<v Speaker 3>if somebody's creating, enriching uranium, blah, blah, blah.

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<v Speaker 1>That just isn't going to happen around AI. Well, and

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<v Speaker 1>I think Mr. Cox himself explains why that's going to

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<v Speaker 1>be so difficult in the next and probably final clip.

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<v Speaker 9>You were at OpenAI before. You left them with concerns

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<v Speaker 9>about security. Now you're at Anthropic. You have concerns about security. Specifically,

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<v Speaker 9>what do you see? If you're talking to somebody on

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<v Speaker 9>the couch at home, what did you see that said,

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<v Speaker 9>holy cow, this is the moment I have to speak out?

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<v Speaker 7>Yeah, so there are two things. One is the models

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<v Speaker 7>are getting better very, very quickly. When I think about

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<v Speaker 7>my work next year, the AI is doing almost all

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<v Speaker 7>of my job. The AI is getting very smart. And

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<v Speaker 7>the second is that in the recent few months, we've

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<v Speaker 7>seen that we don't yet know how to control these

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<v Speaker 7>systems properly. The cyber attacks carried out by open AI

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<v Speaker 7>models on third-party infrastructure were concrete proof that scenarios that

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<v Speaker 7>we previously thought of as science fiction are going to

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<v Speaker 7>come true. So what I see is two things, very

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<v Speaker 7>intelligent AI systems and hard proof that we don't know

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<v Speaker 7>how to control them. And when you put those two together,

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<v Speaker 7>it basically spells disaster as far as I'm concerned.

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<v Speaker 3>So you know what we haven't gotten to yet?

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<v Speaker 1>We never got to yesterday and I haven't heard and

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<v Speaker 1>I'm hoping you can answer this question. Kill us how?

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<v Speaker 3>All of mankind could be killed within a decade. Virus

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<v Speaker 3>it creates? It drains our juices because it wants our brains?

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<v Speaker 1>Yes. What happens? Especially mine, yes. It craves it. Right.

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<v Speaker 1>I've got a number of phantasmagorical possibilities for you.

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<v Speaker 3>Okay, cool.

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<v Speaker 1>I want to hear that. Also, a very, very knowledgeable

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<v Speaker 1>Twitter account that is calling BS on all of this.

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<v Speaker 5>Okay, good.

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<v Speaker 3>And his thinking is really, really interesting. Speaking of technology,

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<v Speaker 3>did you know your car can be a spy?

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<v Speaker 1>Here's a story.

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<v Speaker 3>Guy's car insurance jumped over 20%. Hadn't had any accidents,

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<v Speaker 3>no tickets. He started to dig in to find out

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<v Speaker 3>who reported him.

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<v Speaker 1>It was his own car.

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<v Speaker 3>Every hard break, every fast merge, every late night taco run,

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<v Speaker 3>his automaker, logging it all, sold it to a data broker,

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<v Speaker 3>and the broker sold it to his insurance company. So

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<v Speaker 3>he requested his file, hundreds of pages. General Motors disagreed

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<v Speaker 3>to pay $ 12. 75 million to the state of California over

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<v Speaker 3>this exact sort of thing, your car spying on you.

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<v Speaker 1>Oh, my gosh. I'm going to go out to my

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<v Speaker 1>garage and threaten my car's life if it rats me out.

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<v Speaker 1>Incogni is amazing. It sends requests, and that's a gentle word,

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<v Speaker 1>to more than 420 data broker and people search sites

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<v Speaker 1>on your behalf to remove your name from the databases.

0:12:45.010 --> 0:12:48.530
<v Speaker 1>Then Incogni continually checks to make sure it stays removed.

0:12:48.650 --> 0:12:50.370
<v Speaker 3>I like going on the dashboard and seeing how many

0:12:50.490 --> 0:12:53.510
<v Speaker 3>sites they wiped my names and my name and address

0:12:53.530 --> 0:12:56.429
<v Speaker 3>and everything off of today. So go to incogni.com slash

0:12:56.470 --> 0:13:03.120
<v Speaker 3>Armstrong for 60% off. That's right, Incogni.com slash Armstrong. Two

0:13:03.160 --> 0:13:05.980
<v Speaker 3>dollars bought that person's info. Take yours off the market.

0:13:06.020 --> 0:13:08.700
<v Speaker 1>They can't harm you if they can't find you. Incogni.com

0:13:08.720 --> 0:13:09.330
<v Speaker 1>slash Armstrong.

0:13:09.540 --> 0:13:12.390
<v Speaker 3>So a lot of talk yesterday and today about the

0:13:12.470 --> 0:13:13.969
<v Speaker 3>threat of AI killing us all.

0:13:14.130 --> 0:13:18.730
<v Speaker 1>How? Joe's going to explain it next. Armstrong and Getty.

0:13:22.059 --> 0:13:24.520
<v Speaker 8>I think people should be very worried because when so

0:13:24.559 --> 0:13:28.280
<v Speaker 8>many people come out from Bill Gates to 1,300 employees

0:13:28.300 --> 0:13:30.730
<v Speaker 8>at the AI labs signing a letter saying we have

0:13:30.750 --> 0:13:34.069
<v Speaker 8>to pause the frontier of AI development, when you have

0:13:34.130 --> 0:13:37.550
<v Speaker 8>the author of Trump's AI action plan, their AI policy,

0:13:38.000 --> 0:13:40.840
<v Speaker 8>saying that I used to self-censor about the risk because

0:13:40.880 --> 0:13:42.760
<v Speaker 8>I was worried about being called a doomer and I

0:13:42.820 --> 0:13:46.120
<v Speaker 8>can't do that anymore. We now have so much evidence

0:13:46.140 --> 0:13:48.540
<v Speaker 8>that the AIs are doing the kinds of things that

0:13:48.559 --> 0:13:50.439
<v Speaker 8>we saw in the movie Terminator, Skynet, right, where it

0:13:50.480 --> 0:13:52.640
<v Speaker 8>goes kind of rogue and does uncontrollable things.

0:13:53.200 --> 0:13:55.660
<v Speaker 1>So what do we root for? How do we prevent this?

0:13:56.059 --> 0:13:58.300
<v Speaker 1>So the U.S. and China have to come to.

0:13:58.200 --> 0:14:00.920
<v Speaker 8>An agreement, just like we did during the nuclear arms race,

0:14:01.260 --> 0:14:05.650
<v Speaker 8>that neither country wins if we race to create uncontrollable AI.

0:14:05.929 --> 0:14:10.030
<v Speaker 3>So all this doomerism going on. Meanwhile, what is it,

0:14:10.190 --> 0:14:13.810
<v Speaker 3>five of the seven most valuable companies on planet Earth?

0:14:14.390 --> 0:14:20.630
<v Speaker 1>Are all about AI. We're screaming forward. Right, right. And

0:14:20.810 --> 0:14:23.750
<v Speaker 1>how do you know, all right, we need to stop

0:14:23.770 --> 0:14:29.090
<v Speaker 1>now because tomorrow it would be out of control. Right.

0:14:29.170 --> 0:14:33.840
<v Speaker 1>So the so-called doomers aren't usually worried that it'll be

0:14:33.880 --> 0:14:38.120
<v Speaker 1>a Terminator-style death bot hunting us down across the landscape

0:14:38.380 --> 0:14:42.290
<v Speaker 1>with an odd Austrian accent. Their concerns mostly fall into

0:14:42.330 --> 0:14:46.190
<v Speaker 1>two buckets, loss of control and human misuse. In the first,

0:14:46.450 --> 0:14:50.520
<v Speaker 1>highly intelligent AI agents capable of copying and improving themselves

0:14:50.540 --> 0:14:53.040
<v Speaker 1>start to pursue their own goals and destroy humanity in

0:14:53.060 --> 0:14:57.460
<v Speaker 1>the process. and others, nefarious humans enlist the capable AI

0:14:57.480 --> 0:15:00.900
<v Speaker 1>to do something to create, for instance, novel viruses that

0:15:01.000 --> 0:15:04.480
<v Speaker 1>wipe us all out. There's the famous paperclip illustration, which

0:15:05.000 --> 0:15:07.440
<v Speaker 1>came out early in the days of AI, which said, look,

0:15:07.600 --> 0:15:11.750
<v Speaker 1>if you just say to the thing, make paperclips, it might,

0:15:12.750 --> 0:15:17.090
<v Speaker 1>putting aside all other concerns, morality, etc., marshal all of

0:15:17.150 --> 0:15:20.030
<v Speaker 1>the world's resources to make paperclips and decide that humans

0:15:20.070 --> 0:15:23.020
<v Speaker 1>are in the way of the paperclip manufacturer and snuff

0:15:23.040 --> 0:15:27.120
<v Speaker 1>them in pursuit of its one monomaniacal goal in.

0:15:27.100 --> 0:15:28.940
<v Speaker 3>The same way that if we put up a hotel

0:15:29.020 --> 0:15:31.040
<v Speaker 3>in that field over there we don't think about the

0:15:31.160 --> 0:15:33.740
<v Speaker 3>anthills or the mice or whatever we just build the

0:15:33.800 --> 0:15:36.790
<v Speaker 3>hotel ai might do that with building whatever it is

0:15:36.950 --> 0:15:40.730
<v Speaker 3>it's building with us right right uh this is actually

0:15:40.750 --> 0:15:44.130
<v Speaker 3>pretty good let's let's do jacob ward cnn tech uh

0:15:44.210 --> 0:15:46.770
<v Speaker 3>guy on 67 michael We are.

0:15:46.890 --> 0:15:49.260
<v Speaker 4>I think, already grappling with the idea that this stuff

0:15:49.360 --> 0:15:52.240
<v Speaker 4>might take all of our jobs and reprogram our brains

0:15:52.280 --> 0:15:55.300
<v Speaker 4>and reprogram our relationships to one another. But what Coxon

0:15:55.340 --> 0:15:57.800
<v Speaker 4>and others are talking about here is the capacity of

0:15:57.820 --> 0:16:01.800
<v Speaker 4>this technology to do things like exploit our infrastructure, you know,

0:16:01.850 --> 0:16:05.510
<v Speaker 4>set off some sort of environmental disaster. innovate some kind

0:16:05.550 --> 0:16:08.530
<v Speaker 4>of horrible zoonotic disease we've never thought of or thought

0:16:08.550 --> 0:16:10.830
<v Speaker 4>to try and build a cure for. You know, what

0:16:10.850 --> 0:16:13.390
<v Speaker 4>he's talking about here is the potential that this technology

0:16:13.750 --> 0:16:16.240
<v Speaker 4>could sort of supersede all other technology.

0:16:18.800 --> 0:16:20.580
<v Speaker 3>You know, one thing that I probably don't think about

0:16:20.640 --> 0:16:25.450
<v Speaker 3>enough is the idea of bad guys using this. In

0:16:25.590 --> 0:16:28.170
<v Speaker 3>evil ways that, you know, not just China trying to

0:16:28.190 --> 0:16:30.970
<v Speaker 3>take over the world, but, you know, Al Qaeda. It's

0:16:31.030 --> 0:16:33.650
<v Speaker 3>not like they have smart people that I'm sure are

0:16:33.670 --> 0:16:36.390
<v Speaker 3>computer experts that can figure out a way to use

0:16:36.550 --> 0:16:38.850
<v Speaker 3>AI to do something really awful. And all they want

0:16:38.870 --> 0:16:40.990
<v Speaker 3>to do is wreak havoc. It doesn't need to have

0:16:41.010 --> 0:16:42.350
<v Speaker 3>a point other than killing people.

0:16:42.750 --> 0:16:48.670
<v Speaker 1>They could easily come up with a Islamist doomsday rationale

0:16:49.010 --> 0:16:50.630
<v Speaker 1>for killing virtually everybody.

0:16:50.650 --> 0:16:50.730
<v Speaker 7>Yeah.

0:16:51.230 --> 0:16:54.080
<v Speaker 1>So I want to balance this out at least a

0:16:54.120 --> 0:16:57.950
<v Speaker 1>little bit for a minute with this account, Parker Thayer,

0:16:58.090 --> 0:17:02.430
<v Speaker 1>who's of this world. He's a researcher, and who's he with?

0:17:03.750 --> 0:17:08.210
<v Speaker 1>Investigative researcher for Capital Research. He works for Hillsdale College

0:17:08.250 --> 0:17:10.750
<v Speaker 1>as well, which is interesting. But he says, this post

0:17:10.790 --> 0:17:14.030
<v Speaker 1>looks like the start of a very sophisticated and well-funded

0:17:14.130 --> 0:17:17.490
<v Speaker 1>PR operation to get support for Democrats to regulate AI

0:17:17.530 --> 0:17:19.950
<v Speaker 1>into oblivion. Let me show you how it works. This

0:17:19.990 --> 0:17:23.030
<v Speaker 1>guy with minimal followers and no previous account activity goes

0:17:23.050 --> 0:17:25.330
<v Speaker 1>to the Wall Street Journal, which publishes an exclusive with

0:17:25.390 --> 0:17:28.710
<v Speaker 1>quotes from him on his resignation 18 minutes before his

0:17:28.750 --> 0:17:31.850
<v Speaker 1>post goes up. Planning was clearly done in advance. Two,

0:17:31.890 --> 0:17:34.159
<v Speaker 1>within hours, it has tens of thousands of reposts, and

0:17:34.180 --> 0:17:37.700
<v Speaker 1>the account has 100,000 plus followers. The post is punchy, quotable,

0:17:37.859 --> 0:17:40.740
<v Speaker 1>almost seems professionally written. The first three accounts to quote

0:17:40.780 --> 0:17:42.899
<v Speaker 1>tweet it all do so within 15 minutes of the

0:17:42.960 --> 0:17:46.970
<v Speaker 1>initial posting. Remember, this account had basically zero engagement beforehand,

0:17:47.250 --> 0:17:51.190
<v Speaker 1>so an organic reach explanation seems unlikely. Then he goes

0:17:51.270 --> 0:17:55.440
<v Speaker 1>into who first retweeted it. I want to hear this.

0:17:55.810 --> 0:17:57.930
<v Speaker 3>We got to continue with this. This is a, this

0:17:58.010 --> 0:18:00.090
<v Speaker 3>is a, well, it could be the biggest story of

0:18:00.150 --> 0:18:02.570
<v Speaker 3>all time. It could be like the meteor that took

0:18:02.609 --> 0:18:03.710
<v Speaker 3>out the dinosaurs.

0:18:04.990 --> 0:18:07.470
<v Speaker 1>Or it could be people trying to convince us of

0:18:07.510 --> 0:18:13.929
<v Speaker 1>that for their profit. Oh boy. Wow. Stay here. Armstrong

0:18:14.080 --> 0:18:14.450
<v Speaker 1>and Getty.

0:18:16.990 --> 0:18:21.800
<v Speaker 3>That's the local play-by-play on the ending of last night's game.

0:18:21.840 --> 0:18:23.580
<v Speaker 1>This is only 13 seconds.

0:18:24.080 --> 0:18:40.820
<v Speaker 5>Let me hear the national broadcast, 16, Michael. Here is May.

0:18:40.880 --> 0:18:44.659
<v Speaker 1>Quick look was close. Throwing it up to the edge.

0:18:47.300 --> 0:18:50.869
<v Speaker 1>Did he get the feet down?

0:18:50.960 --> 0:18:51.040
<v Speaker 9>Job!

0:18:51.050 --> 0:18:51.119
<v Speaker 7>Yes!

0:18:51.119 --> 0:18:53.030
<v Speaker 1>A pick! A terrible decision!

0:18:53.090 --> 0:18:54.910
<v Speaker 3>A terrible decision.

0:18:54.990 --> 0:18:58.750
<v Speaker 1>That could be the title of my autobiography. It's certainly

0:18:58.810 --> 0:19:04.450
<v Speaker 1>a series of terrible decisions. Certainly a chapter. Yeah, definitely

0:19:04.490 --> 0:19:10.199
<v Speaker 1>a chapter title. Speaking of terrible decisions, A.I., Is it

0:19:10.340 --> 0:19:15.720
<v Speaker 1>indeed going to doom humanity? I think it's interesting that

0:19:16.330 --> 0:19:19.429
<v Speaker 1>Parker Thayer, who we're quoting now, who's calling BS on

0:19:19.450 --> 0:19:22.730
<v Speaker 1>the whole doomsday deal that we've been describing for the

0:19:22.750 --> 0:19:24.689
<v Speaker 1>last couple of days, the fellow who quit the two

0:19:24.730 --> 0:19:26.949
<v Speaker 1>big companies and said AI is going to kill us

0:19:27.090 --> 0:19:28.600
<v Speaker 1>all if we're not extremely careful.

0:19:28.859 --> 0:19:33.500
<v Speaker 3>Does he think the Doomer view is overrated in general

0:19:33.560 --> 0:19:36.020
<v Speaker 3>or just this specific thing that happened over the last

0:19:36.020 --> 0:19:36.220
<v Speaker 3>24 hours?

0:19:37.490 --> 0:19:44.720
<v Speaker 1>You know, that's a really interesting question. He doesn't say

0:19:44.920 --> 0:19:47.990
<v Speaker 1>in general. He could have said it in the past.

0:19:48.070 --> 0:19:51.280
<v Speaker 1>I'm not familiar with his thinking on this. His response, though,

0:19:51.340 --> 0:19:54.670
<v Speaker 1>to the post from Mr. Coxon, who we played earlier

0:19:54.690 --> 0:19:56.530
<v Speaker 1>in the hour, if you didn't get it, grab the podcast,

0:19:56.570 --> 0:19:59.730
<v Speaker 1>subscribe to Armstrong and Getty on Demand with Brett Baer.

0:20:02.250 --> 0:20:05.690
<v Speaker 1>his response to this whole deal was, this post looks

0:20:05.730 --> 0:20:08.950
<v Speaker 1>like the start of a very sophisticated, well-funded PR operation

0:20:09.260 --> 0:20:12.180
<v Speaker 1>to get support for Democrats to regulate AI into oblivion.

0:20:12.560 --> 0:20:15.060
<v Speaker 1>Let me show you how it works. And then, as

0:20:15.100 --> 0:20:17.800
<v Speaker 1>we mentioned last segment, this guy's got minimal followers and

0:20:17.840 --> 0:20:20.240
<v Speaker 1>no previous real account activity. He goes to the Wall

0:20:20.260 --> 0:20:24.530
<v Speaker 1>Street Journal. publishes his uh his tweet 18 minutes before

0:20:24.570 --> 0:20:27.830
<v Speaker 1>the post goes up so the guy coordinated it it

0:20:27.850 --> 0:20:31.370
<v Speaker 1>was intentional he wanted attention which which is not proof

0:20:31.410 --> 0:20:31.970
<v Speaker 1>of anything.

0:20:31.930 --> 0:20:36.169
<v Speaker 3>No he wanted attention to let people know that humanity

0:20:36.210 --> 0:20:38.840
<v Speaker 3>is people are discussing ending humanity in.

0:20:38.780 --> 0:20:41.220
<v Speaker 1>The hallways at these big companies and you don't know

0:20:41.280 --> 0:20:45.050
<v Speaker 1>it that's a good reason to want attention Yeah, maybe

0:20:45.090 --> 0:20:47.370
<v Speaker 1>now's a good time to remind everybody that proof does

0:20:47.410 --> 0:20:51.169
<v Speaker 1>not equal, I'm sorry, evidence does not equal proof necessarily.

0:20:52.350 --> 0:20:54.920
<v Speaker 1>Something might seem a little odd but have a perfectly

0:20:54.980 --> 0:20:55.800
<v Speaker 1>reasonable explanation.

0:20:55.859 --> 0:20:57.320
<v Speaker 3>If I was going to blow the whistle on this

0:20:57.380 --> 0:21:00.760
<v Speaker 3>story and I was smart enough to orchestrate it to

0:21:00.800 --> 0:21:03.639
<v Speaker 3>get the maximum attention, I've got to.

0:21:04.380 --> 0:21:04.580
<v Speaker 7>Right.

0:21:04.820 --> 0:21:07.639
<v Speaker 1>As you quit your incredibly lucrative job, that's perhaps a

0:21:07.680 --> 0:21:11.560
<v Speaker 1>sign of sincerity, not insincerity. But anyway, he points out, Mr.

0:21:11.900 --> 0:21:15.720
<v Speaker 1>Thayer points out, within hours, it has tens of thousands

0:21:15.760 --> 0:21:19.250
<v Speaker 1>of reposts, and the account has 100,000 followers. The post

0:21:19.310 --> 0:21:22.610
<v Speaker 1>is punchy, quotable, professional-looking. The first three accounts to quote

0:21:22.650 --> 0:21:24.869
<v Speaker 1>tweet it all do so within 15 minutes of the

0:21:24.930 --> 0:21:28.950
<v Speaker 1>initial posting. Remember, this account had basically zero engagement before,

0:21:29.310 --> 0:21:33.669
<v Speaker 1>so an organic reach explanation seems unlikely. It's not the

0:21:33.730 --> 0:21:37.619
<v Speaker 1>sort of popular account that people follow a lot. I

0:21:37.660 --> 0:21:40.740
<v Speaker 1>don't know how pervasive that is, but according to Grok,

0:21:40.960 --> 0:21:45.140
<v Speaker 1>those three accounts are Nathan Calvin, who's the general counsel

0:21:45.200 --> 0:21:49.379
<v Speaker 1>at Encode AI, Peter Wilderford, head of policy at the

0:21:49.500 --> 0:21:54.359
<v Speaker 1>AI Policy Network, and D. Kojo Talo, head of AI

0:21:54.859 --> 0:21:58.820
<v Speaker 1>Futures Project, all of which are up-and-coming AI doomer policy

0:21:58.960 --> 0:22:03.940
<v Speaker 1>advocacy non-profits. The AI Futures Project website said it is

0:22:03.980 --> 0:22:07.120
<v Speaker 1>funded primarily by the Survival and Flourishing Fund, which says

0:22:07.200 --> 0:22:10.350
<v Speaker 1>on its own website that it has advised Gene Tallon,

0:22:10.670 --> 0:22:13.310
<v Speaker 1>Skype creator and one of the leading investors in Anthropic,

0:22:13.650 --> 0:22:16.830
<v Speaker 1>to grant over $ 2. 5 million to the AI Futures Project

0:22:16.850 --> 0:22:20.010
<v Speaker 1>since 2024. You could also explain some of that, that

0:22:20.090 --> 0:22:24.990
<v Speaker 1>this guy, Mr. Coxon, who posted the original tweet, It's like,

0:22:25.109 --> 0:22:27.210
<v Speaker 1>all right, how do we most effectively get the word out?

0:22:27.250 --> 0:22:30.990
<v Speaker 1>We've got to involve all of these people who blah, blah, blah.

0:22:31.100 --> 0:22:34.640
<v Speaker 1>I don't think showing that it wasn't just a frustrated

0:22:34.760 --> 0:22:39.300
<v Speaker 1>young man in a V-neck sweater went to Twitter. Saying

0:22:39.340 --> 0:22:43.580
<v Speaker 1>that that wasn't that doesn't necessarily mean it's bullcrap. 100%.

0:22:43.580 --> 0:22:47.619
<v Speaker 1>I want to hang with his thinking. And there are many,

0:22:47.820 --> 0:22:53.770
<v Speaker 1>many of that sort of tie-ins with advocacy groups. The

0:22:53.810 --> 0:23:00.260
<v Speaker 1>first several people to quote tweet him and spread the word. Okay.

0:23:00.420 --> 0:23:04.010
<v Speaker 1>And it might not just have been these advocacy groups. Hey,

0:23:04.140 --> 0:23:04.730
<v Speaker 1>did you hear?

0:23:04.750 --> 0:23:08.730
<v Speaker 3>Somebody just said something that helps our cause.

0:23:09.650 --> 0:23:12.450
<v Speaker 1>I want to spread that too. That's right. What they

0:23:12.490 --> 0:23:16.200
<v Speaker 1>believe in. He points out Jacob Coxon doesn't have much

0:23:16.220 --> 0:23:18.619
<v Speaker 1>of a resume, but we do know that in 2022

0:23:18.619 --> 0:23:21.440
<v Speaker 1>he got a scholarship for the, quote, long-term future scholarship

0:23:21.480 --> 0:23:24.780
<v Speaker 1>program from the Good Ventures Foundation, one of the philanthropic

0:23:24.820 --> 0:23:30.419
<v Speaker 1>vehicles of Dustin Moskowitz, a notorious AI doomer who has

0:23:30.460 --> 0:23:33.300
<v Speaker 1>spent tens if not hundreds of millions of dollars on

0:23:34.160 --> 0:23:37.820
<v Speaker 1>policy advocacy to strictly regulate AI while also being an

0:23:37.900 --> 0:23:42.540
<v Speaker 1>anthropic investor himself. The 14th person to quote Coxon's post

0:23:42.619 --> 0:23:47.340
<v Speaker 1>was another activist in this field. So his conclusion. For

0:23:47.400 --> 0:23:52.540
<v Speaker 1>your consideration, friends, basically every major Democrat politician and candidate

0:23:52.600 --> 0:23:55.730
<v Speaker 1>has suddenly glommed onto this post and conveniently, as the

0:23:55.770 --> 0:24:00.409
<v Speaker 1>people cry out faux answers, Bernie Sanders already has a

0:24:00.450 --> 0:24:05.590
<v Speaker 1>bill written to ban superintelligence. and regulate AI into oblivion

0:24:05.660 --> 0:24:08.330
<v Speaker 1>and will be releasing later this week. The bill, among

0:24:08.369 --> 0:24:11.090
<v Speaker 1>many other things, will create a new cabinet-level federal agency

0:24:11.130 --> 0:24:13.570
<v Speaker 1>to safeguard the public from the dangers of artificial intelligence,

0:24:13.950 --> 0:24:16.369
<v Speaker 1>will be advised, blah, blah, blah. Do you think perhaps

0:24:16.450 --> 0:24:19.710
<v Speaker 1>Anthropic and its many investors who fund AI policy advocacy

0:24:20.080 --> 0:24:23.200
<v Speaker 1>might have interest in getting to place a pet expert

0:24:23.600 --> 0:24:26.200
<v Speaker 1>on the board of an entity that dictates what AI

0:24:26.400 --> 0:24:28.970
<v Speaker 1>is and what it isn't allowed to do? And isn't

0:24:29.030 --> 0:24:32.450
<v Speaker 1>it fortuitous that this whistleblower came forward with his oh-so-scary

0:24:32.470 --> 0:24:35.210
<v Speaker 1>stories so close in proximity to the release of the

0:24:35.250 --> 0:24:38.770
<v Speaker 1>most radical piece of AI legislation ever introduced?

0:24:43.960 --> 0:24:48.480
<v Speaker 3>So the worst thing that could happen in this whole

0:24:48.600 --> 0:24:54.780
<v Speaker 3>argument is this become like masks or vaccines or there's

0:24:54.840 --> 0:24:58.550
<v Speaker 3>lots of examples out there. When it becomes a, oh,

0:24:58.690 --> 0:25:01.620
<v Speaker 3>you want to, you think AI is going to ruin

0:25:01.640 --> 0:25:03.660
<v Speaker 3>the world, you must be a Democrat. I mean, if

0:25:03.720 --> 0:25:07.000
<v Speaker 3>it becomes a, I am for AI because I'm a

0:25:07.060 --> 0:25:09.690
<v Speaker 3>Republican or whichever party, it doesn't make much difference.

0:25:09.930 --> 0:25:10.649
<v Speaker 1>If it becomes a.

0:25:10.750 --> 0:25:15.649
<v Speaker 3>Partisan issue and that blinds everybody to everything, that is going.

0:25:15.490 --> 0:25:18.169
<v Speaker 1>To be really disturbing. And I hope that's not what

0:25:18.210 --> 0:25:21.200
<v Speaker 1>happens out of this. Here's a fellow who works for Palantir,

0:25:21.380 --> 0:25:24.360
<v Speaker 1>Michael Adams, who tweets, so far, excuse me, at least

0:25:24.359 --> 0:25:27.550
<v Speaker 1>22 politicians responded directly to this tweet with calls for

0:25:27.590 --> 0:25:31.730
<v Speaker 1>legislation to regulate AI. Two governors, seven senators, 13 congresspeople,

0:25:32.390 --> 0:25:40.330
<v Speaker 1>all Democrats except for three. Which is kind of weird.

0:25:40.390 --> 0:25:44.250
<v Speaker 3>I mean, if this guy's claiming it's some sort of Democrat-led,

0:25:44.330 --> 0:25:45.850
<v Speaker 3>I mean, why would he pick a party?

0:25:46.350 --> 0:25:47.669
<v Speaker 1>Trump has been pushing.

0:25:48.880 --> 0:25:51.320
<v Speaker 3>You know, he got all those people together and made

0:25:51.340 --> 0:25:54.340
<v Speaker 3>a bunch of talk about having a special agency that

0:25:54.380 --> 0:25:57.330
<v Speaker 3>has to approve an AI before it is released and

0:25:57.350 --> 0:26:00.090
<v Speaker 3>all that sort of stuff. How'd this guy decide that

0:26:00.109 --> 0:26:02.670
<v Speaker 3>it was a Democrat thing as opposed to, because there's

0:26:02.710 --> 0:26:06.030
<v Speaker 3>lots of politicians been saying this, of both stripes, including

0:26:06.070 --> 0:26:06.590
<v Speaker 3>Donald Trump.

0:26:07.369 --> 0:26:10.149
<v Speaker 1>Yeah, yeah. Elon Musk tweets, I think the groundwork for

0:26:10.190 --> 0:26:12.560
<v Speaker 1>this PSYOP, for lack of a better term, has been

0:26:12.600 --> 0:26:14.440
<v Speaker 1>prepared for a long time. This was just the match

0:26:14.500 --> 0:26:15.399
<v Speaker 1>that lit the fire.

0:26:20.930 --> 0:26:24.690
<v Speaker 3>All this could be true, the conspiracy part true, that

0:26:24.710 --> 0:26:27.750
<v Speaker 3>this was just an effort to get legislation passed or

0:26:27.770 --> 0:26:33.090
<v Speaker 3>something like that. And all the other stuff is true,

0:26:33.390 --> 0:26:36.090
<v Speaker 3>that AI is going to ruin the world in about

0:26:36.090 --> 0:26:37.250
<v Speaker 3>50 different ways.

0:26:38.560 --> 0:26:41.139
<v Speaker 1>Right, right. I would agree. All right, let's end with

0:26:41.160 --> 0:26:45.240
<v Speaker 1>a bit of humor. This is a mock ad for

0:26:45.300 --> 0:26:48.929
<v Speaker 1>a job at Anthropic. And it's very convincing looking in

0:26:48.970 --> 0:26:57.290
<v Speaker 1>its graphics. Speaking of AI. Anthropic Careers. Killswitch Engineer. San Francisco, California, U.S.

0:26:57.290 --> 0:27:01.040
<v Speaker 1>$ 300, 000 to $ 500, 000 per year. About the role. Listen, we

0:27:01.060 --> 0:27:05.760
<v Speaker 1>just need someone to stand by this. I'm sorry. I'll

0:27:05.780 --> 0:27:08.639
<v Speaker 1>get my act together. Listen, we just need someone to

0:27:08.700 --> 0:27:11.159
<v Speaker 1>stand by the servers all day long and unplug them

0:27:11.220 --> 0:27:14.350
<v Speaker 1>if this thing turns on us. You'll receive extensive training

0:27:14.450 --> 0:27:17.650
<v Speaker 1>on the code word, which we will shout if Claude

0:27:17.690 --> 0:27:20.550
<v Speaker 1>goes off the deep end and starts overthrowing countries. We

0:27:20.609 --> 0:27:24.119
<v Speaker 1>expect you to be patient, know how to unplug things,

0:27:24.490 --> 0:27:26.620
<v Speaker 1>bonus points if you can throw a bucket of water

0:27:26.680 --> 0:27:29.600
<v Speaker 1>on the servers too, just in case, and be excited

0:27:29.680 --> 0:27:35.660
<v Speaker 1>about Anthropic's approach to AI safety research. Kill switch engineer.

0:27:35.720 --> 0:27:39.480
<v Speaker 3>Just need to stand next to it. If it goes crazy,

0:27:40.020 --> 0:27:42.380
<v Speaker 3>unplug the damn thing. We'll shout the code word at you.

0:27:43.840 --> 0:27:44.399
<v Speaker 7>Parakeet!

0:27:44.660 --> 0:27:45.280
<v Speaker 1>Parakeet!

0:27:45.660 --> 0:27:56.480
<v Speaker 3>Parakeet! Oh, God. That had a little of the Tucker

0:27:56.520 --> 0:27:58.780
<v Speaker 3>Carlson thing sound to it, and who did he go

0:27:58.820 --> 0:27:59.480
<v Speaker 3>to school with?

0:27:59.730 --> 0:28:05.700
<v Speaker 1>You know, Halliburton. Benjamin Netanyahu's second cousin's wife's nail salon operator.

0:28:06.180 --> 0:28:07.980
<v Speaker 1>It had a little of that, but....

0:28:10.090 --> 0:28:12.170
<v Speaker 3>One of the reasons we're doomed around all this is

0:28:12.230 --> 0:28:17.960
<v Speaker 3>this sort of thing. Either this guy is irresponsibly downplaying

0:28:18.420 --> 0:28:21.780
<v Speaker 3>the actual threat, or the guy did all the stuff

0:28:21.820 --> 0:28:24.240
<v Speaker 3>he's being accused of, and this is a fake trying

0:28:24.260 --> 0:28:27.200
<v Speaker 3>to get regulations going. Either way, the fact that these

0:28:28.020 --> 0:28:32.320
<v Speaker 3>splits happen, and everybody has doubt about everything, so nobody.

0:28:32.090 --> 0:28:35.649
<v Speaker 1>Knows what to believe. She can't even have a conversation

0:28:35.710 --> 0:28:41.840
<v Speaker 1>about it. Meanwhile, Xi Jinping is saying, man, you Americans

0:28:41.900 --> 0:28:44.400
<v Speaker 1>are weird. How's it going at the lab, fellas? You

0:28:44.420 --> 0:28:51.930
<v Speaker 1>know what people do around here? What I tell them to. Right, exactly. So, gosh, wow, wow, wow.

0:28:51.990 --> 0:28:54.870
<v Speaker 1>Maybe prayer is the only proper response to all of

0:28:54.930 --> 0:28:57.330
<v Speaker 1>this stuff. Or, I don't know, whatever you want to do,

0:28:57.370 --> 0:29:01.110
<v Speaker 1>whatever you think is right. Man, a lot of our

0:29:01.190 --> 0:29:03.810
<v Speaker 1>Samsung texters are angry. I don't know why this makes

0:29:03.830 --> 0:29:04.510
<v Speaker 1>you so angry.

0:29:06.090 --> 0:29:10.050
<v Speaker 3>We already have a foldable phone! Lots of those texts

0:29:10.090 --> 0:29:11.230
<v Speaker 3>from the Samsung crowd.

0:29:12.310 --> 0:29:14.230
<v Speaker 1>I know, I know you do. It's just, I don't

0:29:14.260 --> 0:29:17.240
<v Speaker 1>know why that makes people so angry. All right, so...

0:29:19.940 --> 0:29:23.400
<v Speaker 1>I like ambivalence. Well, I have mixed feelings about ambivalence.

0:29:25.160 --> 0:29:29.310
<v Speaker 1>But as an arch-conservative, surely you know me. Joe Getty, arch-conservative,

0:29:29.650 --> 0:29:35.540
<v Speaker 1>cold warrior. I've earned... credibility to say this, and we're

0:29:35.560 --> 0:29:39.870
<v Speaker 1>going to talk about this next hour. If you give

0:29:40.380 --> 0:29:46.100
<v Speaker 1>money to ex-cons as they get out of prison to

0:29:46.160 --> 0:29:48.860
<v Speaker 1>help them not go back to prison, is that a

0:29:48.880 --> 0:29:54.460
<v Speaker 1>good policy? I want to talk about it. Joe. It's interesting.

0:29:54.500 --> 0:29:59.440
<v Speaker 1>Joe Getty. Cold warrior. You're damn right. Who's lost his

0:29:59.480 --> 0:30:00.530
<v Speaker 1>moral compass, perhaps.

0:30:00.810 --> 0:30:01.470
<v Speaker 9>Wrong.

0:30:01.730 --> 0:30:05.250
<v Speaker 1>Wrong, sir. Stay with us. So the wait is over.

0:30:05.270 --> 0:30:07.650
<v Speaker 1>Football is here. Oh, man, I loved it. Watching it

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0:30:12.380 --> 0:30:14.160
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0:31:11.250 --> 0:31:17.960
<v Speaker 5>Armstrong and Getty. If the Republicans win the House of

0:31:18.060 --> 0:31:22.520
<v Speaker 5>Representatives and the United States Senate, both of them, I

0:31:22.580 --> 0:31:26.060
<v Speaker 5>will issue a dividend to every adult citizen in the

0:31:26.120 --> 0:31:33.420
<v Speaker 5>United States of America for $ 5, 000.

0:31:31.060 --> 0:31:33.180
<v Speaker 3>So Trump talked for almost two hours last night. That

0:31:33.220 --> 0:31:39.650
<v Speaker 3>is definitely the home run clip that's getting all the

0:31:39.670 --> 0:31:49.390
<v Speaker 3>most attention. Just flat out, every adult citizen gets $ 5, 000.

0:31:45.810 --> 0:31:48.870
<v Speaker 1>If if we win the House and the Senate. So

0:31:49.390 --> 0:31:51.390
<v Speaker 1>I'm going to a car dealer today and tell him, hey,

0:31:51.430 --> 0:31:54.080
<v Speaker 1>I want a new car. I'm going to use Trump's

0:31:54.100 --> 0:31:56.840
<v Speaker 1>five thousand as a down payment. So don't worry, it's

0:31:56.880 --> 0:31:59.900
<v Speaker 1>on the way to one point two trillion dollars, by

0:31:59.940 --> 0:32:02.320
<v Speaker 1>the way, if they did that. We talked a lot

0:32:02.340 --> 0:32:03.060
<v Speaker 1>about that earlier.

0:32:03.120 --> 0:32:06.140
<v Speaker 3>Get the podcast if you want to hear various critiques

0:32:06.640 --> 0:32:09.740
<v Speaker 3>of that or the booster ism from J.D. Vance on

0:32:09.770 --> 0:32:12.830
<v Speaker 3>why it's a good idea. I've seen a little bit

0:32:12.870 --> 0:32:14.910
<v Speaker 3>of this. This is some classic Trump. This is like

0:32:14.970 --> 0:32:19.300
<v Speaker 3>Trump 2015, 2016 stuff where he's riffing on people and

0:32:19.360 --> 0:32:22.780
<v Speaker 3>being funny. This is from last night at the midterm convention.

0:32:23.440 --> 0:32:25.620
<v Speaker 5>He described himself as a person.

0:32:25.280 --> 0:32:26.340
<v Speaker 1>Who hates Christmas.

0:32:26.740 --> 0:32:32.140
<v Speaker 3>So he's specifically talking about That the guy, James Tallarico,

0:32:32.540 --> 0:32:34.620
<v Speaker 3>and he's the guy that's running against the Republican and

0:32:34.640 --> 0:32:37.550
<v Speaker 3>the Republicans have not lost in Texas in a very

0:32:37.590 --> 0:32:39.690
<v Speaker 3>long time. We might end up with a Democrat senator

0:32:39.770 --> 0:32:41.900
<v Speaker 3>from Texas and Trump's trying to tear him down.

0:32:42.980 --> 0:32:47.120
<v Speaker 5>He described himself as a person who hates Christianity, says

0:32:47.160 --> 0:32:50.920
<v Speaker 5>that God is transgender. He called the American flag a

0:32:51.000 --> 0:32:55.300
<v Speaker 5>complicated symbol of hate, claimed that the Ten Commandments are

0:32:55.340 --> 0:32:58.300
<v Speaker 5>a form of fascism, and when he was asked what

0:32:58.340 --> 0:33:01.500
<v Speaker 5>he loved most in the world, he said, I love

0:33:01.600 --> 0:33:03.550
<v Speaker 5>transgender children, which.

0:33:07.530 --> 0:33:08.630
<v Speaker 1>He was also.

0:33:08.330 --> 0:33:15.340
<v Speaker 5>Somebody that hated eating meat. But he ran a campaign

0:33:15.380 --> 0:33:18.100
<v Speaker 5>to beat meat. He called it beat meat. I don't

0:33:18.120 --> 0:33:23.980
<v Speaker 5>know what the hell he meant by that. These people

0:33:24.010 --> 0:33:25.550
<v Speaker 5>are going to tell me, what the hell is he,

0:33:26.270 --> 0:33:36.330
<v Speaker 5>wants to beat meat? But it was bad for his image,

0:33:36.370 --> 0:33:42.010
<v Speaker 5>so he started eating meat. And he recently, it's getting worse.

0:33:42.030 --> 0:33:43.290
<v Speaker 5>I'm getting myself in trouble.

0:33:44.640 --> 0:33:45.280
<v Speaker 1>It's getting worse.

0:33:49.480 --> 0:33:53.730
<v Speaker 5>But he was recently seen having a barbecue and eating

0:33:53.750 --> 0:33:59.810
<v Speaker 5>a lot of meat. But that's what happened. He ate

0:33:59.830 --> 0:34:03.110
<v Speaker 5>it and then he was seen running backstage to a

0:34:03.130 --> 0:34:05.250
<v Speaker 5>room and throwing up all over the place.

0:34:06.070 --> 0:34:07.210
<v Speaker 1>He doesn't like meat.

0:34:08.920 --> 0:34:11.700
<v Speaker 5>He also loved wearing masks, and he was seen wearing

0:34:11.760 --> 0:34:13.050
<v Speaker 5>a mask just a short.

0:34:12.890 --> 0:34:13.810
<v Speaker 1>Number of months ago.

0:34:14.130 --> 0:34:18.589
<v Speaker 5>Any guy in Texas that's wearing a mask a few

0:34:18.630 --> 0:34:21.690
<v Speaker 5>months ago, this is not going to be your senator.

0:34:21.750 --> 0:34:26.140
<v Speaker 1>It's not going to work out. Not going to work out.

0:34:27.060 --> 0:34:31.360
<v Speaker 1>Trumpet Catch a Rising Star Comedy Festival. Yeah, his letting

0:34:31.380 --> 0:34:33.339
<v Speaker 1>the laughter happen pause was like.

0:34:33.390 --> 0:34:38.009
<v Speaker 3>That's a guy who has some abilities in that area.

0:34:38.469 --> 0:34:41.850
<v Speaker 1>That's some good critique of the dude, though. Oh, yeah.

0:34:43.210 --> 0:34:46.860
<v Speaker 3>Even though the Republican candidate, Paxson, is all kinds of problems.

0:34:48.300 --> 0:34:52.569
<v Speaker 1>You know, you're in Texas... Guy doesn't eat.

0:34:52.610 --> 0:34:56.390
<v Speaker 3>He's a vegetarian who says his favorite thing is trans,

0:34:56.750 --> 0:34:59.410
<v Speaker 3>who hates trans kids, who hates the flag.

0:34:59.430 --> 0:35:04.020
<v Speaker 1>Right. Where it was wearing a mask two months ago,

0:35:04.920 --> 0:35:08.340
<v Speaker 1>frantically trying to cleanse his record and his social media

0:35:08.380 --> 0:35:12.040
<v Speaker 1>postings and the things he's on the record saying, yeah,

0:35:12.120 --> 0:35:15.030
<v Speaker 1>I got that wrong. I said he actually he went

0:35:15.090 --> 0:35:18.180
<v Speaker 1>on Fox News the other night and one of their reporterettes,

0:35:19.380 --> 0:35:21.739
<v Speaker 1>Brooke Taylor, I think, interviewed him and asked him some

0:35:21.780 --> 0:35:24.420
<v Speaker 1>hard questions, and he was full of the, you know,

0:35:24.440 --> 0:35:26.400
<v Speaker 1>I missed the mark on that one, or no, I

0:35:26.420 --> 0:35:30.069
<v Speaker 1>got that one wrong. I actually believe this. I misspoke, yeah,

0:35:30.550 --> 0:35:32.130
<v Speaker 1>over and over again.

0:35:32.469 --> 0:35:32.950
<v Speaker 3>Come on.

0:35:33.270 --> 0:35:36.250
<v Speaker 1>You know, and at some point, people are allowed to

0:35:36.270 --> 0:35:38.730
<v Speaker 1>change their minds. In fact, I respect it if they'll say,

0:35:38.770 --> 0:35:41.290
<v Speaker 1>you know what, I was wrong before, and here's why. But,

0:35:41.570 --> 0:35:44.880
<v Speaker 1>I mean, this guy conveniently says this about practically everything,

0:35:45.260 --> 0:35:49.350
<v Speaker 1>and at some point, You got to say, look, if

0:35:49.390 --> 0:35:52.469
<v Speaker 1>your judgment is so bad that you jump like a

0:35:52.510 --> 0:35:56.370
<v Speaker 1>hungry dog at every fad that passes and every woke

0:35:56.630 --> 0:35:59.049
<v Speaker 1>fashion in the universities and say, yeah, I believe that.

0:35:59.270 --> 0:35:59.870
<v Speaker 3>I believe that.

0:36:00.430 --> 0:36:02.190
<v Speaker 1>You don't have the judgment to be a U.S. senator.

0:36:02.350 --> 0:36:06.279
<v Speaker 3>I wish the other choice wasn't flat out corrupt. Could

0:36:06.300 --> 0:36:10.240
<v Speaker 3>have gone with Cornyn, who was already a senator and could.

0:36:10.120 --> 0:36:14.040
<v Speaker 1>Have respected, liked, etc. But, well, he didn't lap Trump's

0:36:14.120 --> 0:36:16.900
<v Speaker 1>boot heels. Not thoroughly enough, apparently.

0:36:16.920 --> 0:36:17.720
<v Speaker 3>It's terrible.

0:36:17.940 --> 0:36:19.759
<v Speaker 1>Anyway, that was some good Trump right there.

0:36:20.360 --> 0:36:26.650
<v Speaker 3>The $ 5, 000 to every American adult, which has already been

0:36:26.710 --> 0:36:30.430
<v Speaker 3>changed to within a certain tax bracket, which brings down the.

0:36:30.370 --> 0:36:31.710
<v Speaker 1>Number from $ 1.

0:36:30.750 --> 0:36:34.980
<v Speaker 3>2 trillion, because we got so much excess money in

0:36:35.020 --> 0:36:38.920
<v Speaker 3>a slush fund from the tariffs, according to Trump and J.D.,

0:36:39.840 --> 0:36:41.620
<v Speaker 3>which is not a thing, but.

0:36:43.110 --> 0:36:46.870
<v Speaker 1>So maybe I can afford a Sea-Doo or something? Not

0:36:46.910 --> 0:36:50.130
<v Speaker 1>my car? Oh, well. Damn it.

0:36:51.910 --> 0:36:57.770
<v Speaker 3>By the way, the whole midterm convention is not a thing.

0:36:58.070 --> 0:36:59.890
<v Speaker 3>Democrats did it twice back in the day. I didn't

0:36:59.910 --> 0:37:03.299
<v Speaker 3>realize that. 78 and whatever other year.

0:37:04.160 --> 0:37:07.200
<v Speaker 1>Democrats have done it twice. And the conventional wisdom is, no,

0:37:07.480 --> 0:37:09.540
<v Speaker 1>you've got to appeal to the swing voters, the middle

0:37:09.600 --> 0:37:11.680
<v Speaker 1>and all. And clearly the Republicans, or at least Trump,

0:37:11.700 --> 0:37:13.960
<v Speaker 1>have decided no. We're just going to rally the base

0:37:14.020 --> 0:37:16.339
<v Speaker 1>like to the nth degree and see if we can

0:37:16.820 --> 0:37:20.280
<v Speaker 1>swing the midterms that way. It's an interesting strategy. It

0:37:20.440 --> 0:37:21.430
<v Speaker 1>might work. I don't know.

0:37:21.690 --> 0:37:23.150
<v Speaker 3>If you miss a segment of this show, get the

0:37:23.190 --> 0:37:24.810
<v Speaker 3>podcast Armstrong and Getty on demand.

0:37:24.930 --> 0:37:26.050
<v Speaker 1>Armstrong and Getty.