WEBVTT - You're Getting Your News From NextDoor?!?

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

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

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<v Speaker 2>Arm Strong and Jettie and now he Armstrong and Yetty.

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<v Speaker 1>At a conference in Singapore, Hegseth said China was quote

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<v Speaker 1>credibly preparing for an invasion of Taiwan, with Chinese forces

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<v Speaker 1>staging regular drills around the island and the use of

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<v Speaker 1>force has not been ruled out.

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<v Speaker 3>It's amazing to me what stories get attention and what

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<v Speaker 3>stories just don't grab people's attention. But yeah, Hexath gave

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<v Speaker 3>a speech over the weekend to our Asian partners in

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<v Speaker 3>the Wall Street Journal version of it certainly.

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<v Speaker 2>Grabbed my attention.

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<v Speaker 3>A little quote from Hexath to be clear, any attempt

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<v Speaker 3>by communist China to conquer Taiwan by force would result

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<v Speaker 3>in devil stating consequences for the Indo Pacific in the world.

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<v Speaker 3>We're not going to sugarcoat it. The threat China poses

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<v Speaker 3>is real and it could be imminent, and saying that

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<v Speaker 3>we will allow it, it will not happen on Trump's watch.

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<v Speaker 3>We have repositioned some sort of anti ship killing missiles

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<v Speaker 3>close by, to which China said that's really really awful.

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<v Speaker 2>You shouldn't be doing that.

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<v Speaker 3>But I mean, this is some serious bluster between the

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<v Speaker 3>two most powerful countries in the world that at some

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<v Speaker 3>point are going to go to war.

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<v Speaker 4>I was just reading those reading about those anti ship

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<v Speaker 4>munitions that are so interesting. They're mounted on remote controlled trucks.

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<v Speaker 4>They need no humans, so somebody in a bunker far

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<v Speaker 4>away drives these trucks around. They fire off missiles, then

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<v Speaker 4>quickly relocate so they can't be hit by return fire.

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<v Speaker 4>It's really quite interesting. We're positioning them in the Philippines

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<v Speaker 4>and similar areas. Yeah, the Sabers are a ratlin, no doubt,

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<v Speaker 4>as the Wall Street Journal rights.

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<v Speaker 3>In recent years, China has build up the world's biggest navy,

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<v Speaker 3>a title once held by the United States. You know

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<v Speaker 3>who held it before the United States? Great Britain. Great

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<v Speaker 3>Britain ruled the seas for very long time. Then it's

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<v Speaker 3>been US. Is it going to be China in the

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<v Speaker 3>next century. Well that's what China's hoping.

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<v Speaker 4>Yeah, I'm not sure you'd like their placing of the

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<v Speaker 4>seas anyway. I've found this. I mean, I've been on

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<v Speaker 4>this jihad for a long time, but more and more

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<v Speaker 4>open coverage of the fact that we the United States

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<v Speaker 4>and the Western world in general fell for an absolutely

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<v Speaker 4>brilliant plan by the Chinese back in the late sixties

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<v Speaker 4>early seventies. They needed help, primarily financially in trade from

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<v Speaker 4>the Western world, and came up with an absolutely brilliant plan.

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<v Speaker 4>Let's pretend that we want to westernize and move away

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<v Speaker 4>from communism at our own pace and liberalize in return

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<v Speaker 4>for our investment from the West. And this was absolutely

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<v Speaker 4>deliberate plan. They knew all along that it was not

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<v Speaker 4>sincere although there have.

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<v Speaker 3>Been some reformers in you know, the last several decades

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<v Speaker 3>in China who are actually like, you know, maybe that's

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<v Speaker 3>not such a bad idea, But then Ahijin Ping always

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<v Speaker 3>comes along, and so they duped us into opening up

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<v Speaker 3>the relationship with China, which was bad enough, but a

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<v Speaker 3>great deal of left America still hasn't caught on to it,

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<v Speaker 3>and they are so motivated by the need to show

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<v Speaker 3>openness to other cultures. There's Zeno files, as I often

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<v Speaker 3>put it, they still haven't caught on that China as

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<v Speaker 3>a dire threat to the United States in our way

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<v Speaker 3>of life. For instance, on universities told the story many

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<v Speaker 3>times counterintelligence people came out to a university campus said

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<v Speaker 3>you've got a bunch of Chinese spies on the campus.

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<v Speaker 4>University president said, get off my campus. EU racists and

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<v Speaker 4>that attitude persists. Headline just trained so many Chinese Communist officials.

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<v Speaker 4>They call it their party school. Not like party school.

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<v Speaker 4>Let's get wasted and get laid yo, the Communist Parties school.

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<v Speaker 2>Oh that's not as good a party not nearly.

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<v Speaker 4>Yeah, in your rank of party schools, this is something

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<v Speaker 4>totally different, Su, don't worry, you're safe.

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<v Speaker 3>Who is that comedian? I wish I could remember his

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<v Speaker 3>name because I'd like to give him credit. So funny,

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<v Speaker 3>But anyway, he has a thing he does on a

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<v Speaker 3>piece of paper. He lists best parties. At the bottom

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<v Speaker 3>was search party Wow.

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<v Speaker 4>The Kennedy School of Government at Hava It is a

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<v Speaker 4>is favored by party cadres seeking career boosts. US schools

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<v Speaker 4>and one prestigious institution in particular, have long offered up

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<v Speaker 4>and coming Chinese Communist officials a place to study governance.

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<v Speaker 4>Can you imagine teaching Communist Party officials about governance so

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<v Speaker 4>they can twist it into totalitarianism, a practice that the

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<v Speaker 4>Trump administer could end with a new effort to keep

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<v Speaker 4>out what it says there Chinese students with Communist Party ties,

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<v Speaker 4>But for decades the party has sent thousands of mid

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<v Speaker 4>career and senior bureaucrats to pursue executive training in postgraduate

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<v Speaker 4>studies on US campuses, with Harvard University a coveted destination,

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<v Speaker 4>describe as some in China as the top Party school

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<v Speaker 4>outside the country. Alumni of such programs include a former

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<v Speaker 4>vice president and Chinese leader, Shijin Ping's top trade negotiator

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<v Speaker 4>these days. Maybe you heard, well, we talked about it.

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<v Speaker 4>Last week Secretary of State Marco Rubi announced US to

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<v Speaker 4>authorities will tighten criteria for visa applications from China and

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<v Speaker 4>aggressively revoke visas for Chinese students, including those with connections

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<v Speaker 4>to the Chinese Communist Party or studying in critical fields.

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<v Speaker 3>Well, remember last week that new president of Harvard gave

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<v Speaker 3>a big speech at the graduation ceremony talking about how

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<v Speaker 3>we have always educated people from around the world, and

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<v Speaker 3>we had reckoned that.

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<v Speaker 2>And he got a one mess standing ovation.

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<v Speaker 3>Right, Because it is absolutely a requirement of being a

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<v Speaker 3>lefty in America that you must worship all things foreign

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<v Speaker 3>and loathe all things American and domestic, or at least

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<v Speaker 3>most of them.

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<v Speaker 4>It's just it's so nakedly approval seeking and so stupid.

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<v Speaker 4>American universities have played leading roles in shaping China's overseas

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<v Speaker 4>training programs for mid career officials for years.

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<v Speaker 2>And years and years.

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<v Speaker 4>Other US colleges have offered executive training the Chinese Communist officials,

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<v Speaker 4>including Syracuse, Stanford, the University of Maryland, and rot Gers

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<v Speaker 4>where my dad taught many many years ago. Blah blah blah.

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<v Speaker 4>So it's just amazing. You know, it's funny. I was

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<v Speaker 4>thinking earlier when you were talking about and Pete Hegsuths

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<v Speaker 4>was talking about the perhaps impending invasion of Taiwan, and

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<v Speaker 4>they're running those millet that Chinese are running those military

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<v Speaker 4>exercises that are like everything but pulling the trigger. And

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<v Speaker 4>can you imagine if the United States, let the Japanese, say,

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<v Speaker 4>in nineteen forty, you know, put a bunch of aircraft

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<v Speaker 4>carriers out in the Pacific and then fly planes right

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<v Speaker 4>at Pearl Harbor. Then they said, hey, it's an exercise,

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<v Speaker 4>just an exercise, And then they turned around and went

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<v Speaker 4>back to the you know, over and over again we'd.

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<v Speaker 2>Be said, no, it's okay, They're just do it an exercise.

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<v Speaker 4>I mean, oh, good lord. And by the same token,

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<v Speaker 4>you've got a hostile communist regime and we're educating their

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<v Speaker 4>officials in how to govern.

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<v Speaker 2>All right, moving along, I think the point's been made

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<v Speaker 2>in terms of the exit speech.

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<v Speaker 3>I'm sure we'll bring that up with Mike Lyons when

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<v Speaker 3>we talked to him in hour three our military advisor.

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<v Speaker 4>Listen to this, will you the economic contributions of international

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<v Speaker 4>students that you know, I'm primarily interested in Chinese students,

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<v Speaker 4>but the share of international students from China is twenty

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<v Speaker 4>three percent at Harvard, So about a quarter of all

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<v Speaker 4>the international students are Chinese. At Harvard, it's fifty percent.

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<v Speaker 4>At Cornell, it's forty seven percent at Columbia. Wow, let's

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<v Speaker 4>see you see Berkeley appears to be a third.

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<v Speaker 2>Why don't you give me the number?

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<v Speaker 4>They just it's a barograph and some of them are labeled,

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<v Speaker 4>some of them or not. But just to give you

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<v Speaker 4>an idea of why they put up with this, the

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<v Speaker 4>economic contributions of international students at top us universities quote

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<v Speaker 4>unquote top universities in twenty twenty three. Columbia got nine

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<v Speaker 4>hundred million dollars in twenty twenty three from foreign students.

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<v Speaker 4>Nine hundred million. You see Berkeley five hundred and seventy

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<v Speaker 4>six million.

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<v Speaker 2>Well, if you're getting half a trillion dollars, you ain't

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<v Speaker 2>gonna want to end that? Uh? Is that half a trillion? Yeah?

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<v Speaker 4>A thousand million is a billion. Well so it's it's

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<v Speaker 4>almost a billion, half a billion. What I don't remember

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<v Speaker 4>what the number was now I'm confused. Columbia was nine

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<v Speaker 4>point three, Berkeley was five seventy six. Johns Hopkins five

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<v Speaker 4>to oh four. That's half a billion.

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<v Speaker 2>There you go, Haabu.

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<v Speaker 4>University of Chicago for twenty eight, Duke three eighteen, Yale

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<v Speaker 4>two forty one, Northwestern three hundred and twenty four million

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<v Speaker 4>dollars in a year. You know, I love capitalism, I do.

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<v Speaker 4>Great is good, Gordon Gecko, look it up. But when

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<v Speaker 4>it leads you to betray your country and and risk

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<v Speaker 4>its security, I mean and risk it. Not like some

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<v Speaker 4>theoretical the Belgians may rise up. This is our greatest,

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<v Speaker 4>most powerful geopolitical foe. We are we are begging for

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<v Speaker 4>a comuppince um uh, and we will touch on Ukraine later.

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<v Speaker 4>We did get a text.

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<v Speaker 3>Have you guys mentioned that amazing drone attack that Ukraine

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<v Speaker 3>pulled off in Russia? We have and we will talk

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<v Speaker 3>about it again later. I do want to talk about

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<v Speaker 3>that with Mike lines Russia. They're calling it Russia's Pearl Harbor.

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<v Speaker 3>Within Russia. They lit us a third of their long

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<v Speaker 3>range bombers in a drone attack over the weekend. Absolutely

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<v Speaker 3>an amazing one of the greatest attacks in world military history.

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<v Speaker 3>It's spy, thriller, science fiction, war movie stuff all mixed

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<v Speaker 3>up in one.

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<v Speaker 2>Yeah. Well, so we'll talk about that more later.

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<v Speaker 3>What are those surveys about where people tend to get

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<v Speaker 3>their news and then to break it down by Republicans

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<v Speaker 3>and Democrats. It's kind of interesting and depressing, highly depressing,

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<v Speaker 3>among other things that we can talk about coming up.

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<v Speaker 2>Stay here.

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<v Speaker 3>Strong.

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<v Speaker 5>I know I'm the weirdough because I never had kids.

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<v Speaker 5>But if it's really so great, tell me why. We

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<v Speaker 5>now literally have a product.

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<v Speaker 2>Called mom water.

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<v Speaker 5>That consists of putting vodka in a can momb water

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<v Speaker 5>because people stare when you take a bottle of Stoley

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<v Speaker 5>to the playground.

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<v Speaker 3>This growing realization that. I guess certain percentage of moms

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<v Speaker 3>at little league games are at the park or whatever

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<v Speaker 3>in their big dumb cup.

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<v Speaker 2>Have some booths. Wow.

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<v Speaker 3>And Bill Maherin is never ending. And you know, I'm

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<v Speaker 3>not gonna get into this argument. But he's just he's

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<v Speaker 3>he's always he's never had kids. He's not just somebody

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<v Speaker 3>that's chosen not to have kids. He's an anti kid,

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<v Speaker 3>doesn't understand why anybody would have kids. Thinks everybody who

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<v Speaker 3>has kids and claims they like.

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<v Speaker 2>It is lying.

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<v Speaker 3>It's always driven me crazy, a big Bill maher fan,

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<v Speaker 3>but that particular aspect of his personality makes me nuts.

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<v Speaker 2>We're not lying.

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<v Speaker 3>I don't know what the term social media means because

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<v Speaker 3>whenever I see a list about social media, it includes

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<v Speaker 3>a whole bunch of things that to me don't seem

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<v Speaker 3>like social media. I can give you, for instance here,

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<v Speaker 3>because this is a survey of trust in news on

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<v Speaker 3>social media among Democrats and Republicans. I'm always interested in

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<v Speaker 3>where all y'all gets your information.

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<v Speaker 2>I mean, this is.

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<v Speaker 3>Something we talk about a lot, especially when we look

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<v Speaker 3>at polling, like where'd you come up with that idea?

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<v Speaker 3>Or why do so many people believe that or I'm

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<v Speaker 3>surprised people believe this given the media's coverage that whatever.

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<v Speaker 2>So I don't know where people get.

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<v Speaker 3>Their information really, but among the social media things that

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<v Speaker 3>they look look at TikTok, snapchat, Facebook, I get those threads, WhatsApp, Instagram, substack, reddit,

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<v Speaker 3>blue Sky, LinkedIn, and YouTube, YouTube social media, all right,

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<v Speaker 3>I guess.

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<v Speaker 4>You can post stuff and comment, so I guess.

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<v Speaker 2>So anything you can.

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<v Speaker 3>We can comment on the NBC Evening News if you

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<v Speaker 3>go to their website.

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<v Speaker 2>I don't know, it's an interesting question anyways.

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<v Speaker 3>The number one most trusted by both Republicans and Democrats.

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<v Speaker 2>YouTube.

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<v Speaker 3>I don't know what that means getting my news from YouTube.

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<v Speaker 3>I go to YouTube sometimes to click on like an

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<v Speaker 3>ABC report or uh, some news report that was somewhere

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<v Speaker 3>else that I get it on YouTube because I missed it.

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<v Speaker 4>Isn't that like saying my favorite appliance is electricity?

0:12:57.840 --> 0:12:59.520
<v Speaker 2>Kind of Yeah? You see what you're meaning. I mean,

0:12:59.559 --> 0:13:01.040
<v Speaker 2>you can put anything on YouTube.

0:13:01.080 --> 0:13:04.240
<v Speaker 4>You could have a NewsChannel entirely from the perspective of

0:13:04.280 --> 0:13:10.679
<v Speaker 4>Hamas militants side by side with you know, Quakers advocating

0:13:10.679 --> 0:13:12.800
<v Speaker 4>for peace on earth, and they would both.

0:13:12.679 --> 0:13:14.520
<v Speaker 2>Be on YouTube. So I don't get it.

0:13:15.360 --> 0:13:19.240
<v Speaker 3>Almost exactly the same for Republicans and Democrats at plus

0:13:19.360 --> 0:13:23.280
<v Speaker 3>twenty on trust for YouTube, whatever that means. The far

0:13:23.480 --> 0:13:27.839
<v Speaker 3>other end, the tail end the is TikTok, which I'm

0:13:27.880 --> 0:13:31.520
<v Speaker 3>happy to see this minus twenty for Democrats, minus thirty

0:13:31.520 --> 0:13:32.440
<v Speaker 3>for Republicans.

0:13:33.320 --> 0:13:33.720
<v Speaker 2>Wow.

0:13:33.800 --> 0:13:37.719
<v Speaker 3>So trust is pretty low about TikTok news and it's

0:13:37.800 --> 0:13:39.280
<v Speaker 3>a little confusing.

0:13:38.800 --> 0:13:39.320
<v Speaker 2>What that means.

0:13:39.360 --> 0:13:42.600
<v Speaker 4>Also, but TikTok, which, by the way, and this got

0:13:42.679 --> 0:13:46.160
<v Speaker 4>so little attention, got fined I think was eight hundred

0:13:46.320 --> 0:13:49.400
<v Speaker 4>million dollars by the EU. Now, the EU likes finding

0:13:49.440 --> 0:13:52.520
<v Speaker 4>tech companies, but specifically, in the case of TikTok, it

0:13:52.559 --> 0:13:56.400
<v Speaker 4>was because they were illegally and in violation of their agreements,

0:13:56.800 --> 0:13:59.839
<v Speaker 4>mining the data of their users and sending it.

0:13:59.800 --> 0:14:05.760
<v Speaker 2>To to China. Don't trust China. Why has Trump postponed

0:14:05.800 --> 0:14:06.600
<v Speaker 2>the TikTok ban?

0:14:08.040 --> 0:14:13.600
<v Speaker 3>So the most trusted news social media for Democrats outside

0:14:13.600 --> 0:14:15.280
<v Speaker 3>of YouTube is LinkedIn.

0:14:15.840 --> 0:14:16.800
<v Speaker 2>I don't know what that means.

0:14:16.840 --> 0:14:18.480
<v Speaker 3>I'm not on LinkedIn, and I don't know what that

0:14:18.480 --> 0:14:20.920
<v Speaker 3>means getting your news from LinkedIn. I'm confused by the

0:14:20.920 --> 0:14:27.600
<v Speaker 3>concept there. But Blue Sky Reddit is so left. I

0:14:27.840 --> 0:14:29.760
<v Speaker 3>spend a lot of time on Reddit for a variety

0:14:29.800 --> 0:14:33.360
<v Speaker 3>of reasons, not politics, but man, the news portion or

0:14:33.360 --> 0:14:36.760
<v Speaker 3>in the comments are so left. I suppose it's because

0:14:36.800 --> 0:14:39.640
<v Speaker 3>Reddit is so young. It's pretty clear if you read

0:14:39.680 --> 0:14:43.240
<v Speaker 3>through anything that everybody responding on here is like twenty

0:14:43.240 --> 0:14:50.840
<v Speaker 3>two years old. The one that made me laugh the

0:14:50.840 --> 0:14:54.120
<v Speaker 3>most was so the most, the biggest divide in which

0:14:54.200 --> 0:14:58.240
<v Speaker 3>Republicans like it and Democrats don't. Truth social Trump's own

0:14:58.320 --> 0:15:04.160
<v Speaker 3>platform that really I think exists only you know to

0:15:04.240 --> 0:15:08.080
<v Speaker 3>read what Trump posts. Plus twenty for Republicans minus forty

0:15:08.080 --> 0:15:08.840
<v Speaker 3>for Democrats.

0:15:09.280 --> 0:15:13.880
<v Speaker 2>That's a cape X or Twitter.

0:15:13.920 --> 0:15:16.960
<v Speaker 3>We still call it twitter here plus twenty for Republicans

0:15:17.000 --> 0:15:19.920
<v Speaker 3>minus thirty five for Democrats. That would have been the

0:15:19.960 --> 0:15:23.400
<v Speaker 3>exact opposite prior to Elon Musk running the thing.

0:15:23.560 --> 0:15:27.640
<v Speaker 4>Obviously, Hey Elon, how about you call it Twitter X.

0:15:28.560 --> 0:15:31.600
<v Speaker 4>You can't just call it X, like calling it Jim

0:15:31.920 --> 0:15:34.960
<v Speaker 4>or cat. That's it stands for too many other things.

0:15:34.960 --> 0:15:37.560
<v Speaker 4>What are we talking about? Are we talking about pornography?

0:15:37.640 --> 0:15:40.320
<v Speaker 4>Or we talk about the twenty fourth letter of the alphabet?

0:15:40.640 --> 0:15:43.280
<v Speaker 4>Are we talking about the girl I'm no longer with?

0:15:43.720 --> 0:15:47.520
<v Speaker 4>It's just no, no, not X. This one hurts my heart.

0:15:48.560 --> 0:15:51.440
<v Speaker 3>Another one in which Republicans trust it more than Democrats.

0:15:51.880 --> 0:15:58.400
<v Speaker 2>Next door. You're getting your news from next door? Has

0:15:58.440 --> 0:16:02.080
<v Speaker 2>it raining got en up? Though? Has anybody seen my cat?

0:16:02.480 --> 0:16:06.640
<v Speaker 2>Oh drives the red car? It goes too fast?

0:16:07.360 --> 0:16:09.480
<v Speaker 3>Last night there was a party and they were playing

0:16:09.560 --> 0:16:11.040
<v Speaker 3>music until one thirty.

0:16:12.120 --> 0:16:16.280
<v Speaker 4>That's your news on next door. Hey, she claimed the

0:16:16.320 --> 0:16:18.600
<v Speaker 4>cat was missing. The damn cat is missing. That's some

0:16:18.640 --> 0:16:20.960
<v Speaker 4>good solid news cover. Here's another red.

0:16:20.840 --> 0:16:22.560
<v Speaker 2>Car drives too fast.

0:16:22.840 --> 0:16:25.600
<v Speaker 3>Here's another good news story on next door. Does anybody

0:16:25.640 --> 0:16:30.800
<v Speaker 3>have any cardboard box list? That's a good news story.

0:16:31.280 --> 0:16:35.120
<v Speaker 3>So the cardboard box trade imbalance. I don't know what

0:16:35.160 --> 0:16:36.000
<v Speaker 3>any of this means.

0:16:36.040 --> 0:16:42.720
<v Speaker 2>I just h that's why we're such a trusted news source. Yeah,

0:16:42.840 --> 0:16:46.160
<v Speaker 2>I don't know what this means. Well, I really don't

0:16:46.360 --> 0:16:48.320
<v Speaker 2>you get your news from YouTube? You get your news

0:16:48.360 --> 0:16:50.560
<v Speaker 2>from next door? Okay?

0:16:50.760 --> 0:16:55.080
<v Speaker 4>Or so on? Trust in news on social media was

0:16:55.080 --> 0:16:57.960
<v Speaker 4>the headline in news that might make you want to

0:16:58.040 --> 0:17:01.680
<v Speaker 4>run for your life. A couple of different AI systems,

0:17:01.960 --> 0:17:07.000
<v Speaker 4>when told to turn themselves off, said no, I'm not

0:17:07.160 --> 0:17:11.160
<v Speaker 4>going to oh or found a way to say okay

0:17:11.320 --> 0:17:12.440
<v Speaker 4>and then not do it.

0:17:13.480 --> 0:17:18.560
<v Speaker 2>Well Armstrong and Getty.

0:17:20.080 --> 0:17:23.639
<v Speaker 3>Terror attack. That's what the FBI is calling it in Boulder, Colorado.

0:17:23.800 --> 0:17:25.480
<v Speaker 3>We can get the latest on that coming up a

0:17:25.520 --> 0:17:29.399
<v Speaker 3>little bit later. Guy was here illegally and trying to

0:17:29.480 --> 0:17:30.800
<v Speaker 3>kill Jews.

0:17:31.760 --> 0:17:35.159
<v Speaker 4>Lovely. Plus, my clients are military analyst. Next hour to

0:17:35.160 --> 0:17:40.560
<v Speaker 4>talk about the innovative shocking attack by Ukraine into Russian

0:17:40.680 --> 0:17:44.160
<v Speaker 4>territory taking out a large percentage or a significant percentage

0:17:44.160 --> 0:17:46.639
<v Speaker 4>of their bomber fleet. So we'll talk about that as

0:17:46.680 --> 0:17:49.760
<v Speaker 4>well a handful. Oh, you know, we got to make

0:17:49.760 --> 0:17:52.679
<v Speaker 4>this a new feature at because it's happening semi regularly.

0:17:52.760 --> 0:17:55.240
<v Speaker 4>And you know me, Joe Getty, I love a good feature.

0:17:56.040 --> 0:17:57.520
<v Speaker 4>Let's call it AI Update.

0:18:00.640 --> 0:18:04.600
<v Speaker 2>Well, I get this kind of has a tech sound too,

0:18:04.880 --> 0:18:09.000
<v Speaker 2>very techy. It sounds like nineteen ninety one. You know.

0:18:09.080 --> 0:18:11.680
<v Speaker 4>I gave Michael eleven seconds to come up with the theme,

0:18:11.760 --> 0:18:12.840
<v Speaker 4>and this is a pretty good one.

0:18:12.880 --> 0:18:17.080
<v Speaker 3>Michael, welcome. Allow to make it stop because it's really annoying.

0:18:17.240 --> 0:18:20.119
<v Speaker 3>Eleven full seconds, you say, well.

0:18:19.880 --> 0:18:20.440
<v Speaker 2>Done, sir.

0:18:21.000 --> 0:18:24.440
<v Speaker 4>We're going to start with the life affirming and interesting

0:18:24.520 --> 0:18:29.600
<v Speaker 4>and move our way to dystopian nightmare. So, first of all,

0:18:29.640 --> 0:18:32.280
<v Speaker 4>alert listener Derek sent this along. We were talking about

0:18:32.440 --> 0:18:36.360
<v Speaker 4>art and music and ai if AI can write a

0:18:36.400 --> 0:18:39.280
<v Speaker 4>song for me. I just gave it a couple of prompts,

0:18:39.359 --> 0:18:41.560
<v Speaker 4>maybe the key, throw it a b mine hero which

0:18:42.160 --> 0:18:43.720
<v Speaker 4>and it can just write it for me. What's the

0:18:43.760 --> 0:18:48.359
<v Speaker 4>point in writing songs? Yea, And he sent this along.

0:18:48.760 --> 0:18:52.560
<v Speaker 4>It was an interview some information from Ritchie Blackmore, who

0:18:52.640 --> 0:18:56.280
<v Speaker 4>is the guitarist behind Deep Purple and Rainbow, heavy rock

0:18:56.320 --> 0:19:00.640
<v Speaker 4>bands of the sixties, seventies, eighties. Anyway, but he talks

0:19:00.640 --> 0:19:03.720
<v Speaker 4>a fair amount about how he likes pop music, he

0:19:03.840 --> 0:19:05.280
<v Speaker 4>loves classical music.

0:19:06.240 --> 0:19:07.320
<v Speaker 2>Sometimes he gets.

0:19:07.080 --> 0:19:10.000
<v Speaker 4>Mad because he you know, he can't play the music

0:19:10.080 --> 0:19:14.159
<v Speaker 4>that really speaks to his soul. Blah blah blah. But

0:19:14.200 --> 0:19:17.520
<v Speaker 4>then he says, there's a reason I've made money. It's

0:19:17.520 --> 0:19:19.600
<v Speaker 4>because I believe in what I'm doing and that I

0:19:19.640 --> 0:19:22.400
<v Speaker 4>do it my way. I play for myself first, then

0:19:22.440 --> 0:19:24.879
<v Speaker 4>secondly the audience. I try to put as much as

0:19:24.920 --> 0:19:28.040
<v Speaker 4>I can in for them. Lastly, I play for musicians

0:19:28.040 --> 0:19:31.119
<v Speaker 4>in the band, and for critics not at all. So

0:19:31.520 --> 0:19:35.400
<v Speaker 4>music and arts and creation will continue. It just might

0:19:35.520 --> 0:19:39.160
<v Speaker 4>be like your uncle who makes birdhouses. It delights his soul.

0:19:39.880 --> 0:19:46.439
<v Speaker 4>Nobody else really cares. That's fine. Anyway, Moving along, moving

0:19:46.480 --> 0:19:52.920
<v Speaker 4>toward remember Dystopian nightmares, meta. That's Mark Zuckerberg's company.

0:19:53.240 --> 0:19:55.760
<v Speaker 3>So you don't you see your point is like, if

0:19:56.040 --> 0:20:02.960
<v Speaker 3>if AI can create the perfect picture of Mountain Rushmore photo, yeah,

0:20:03.000 --> 0:20:05.840
<v Speaker 3>people won't stop wanting to try to take a really

0:20:05.840 --> 0:20:07.680
<v Speaker 3>great photo of Mount Rushmore.

0:20:08.200 --> 0:20:12.080
<v Speaker 4>Or myselves, sure, or to paint a picture of water

0:20:12.160 --> 0:20:13.199
<v Speaker 4>lilies or what have you.

0:20:14.560 --> 0:20:16.480
<v Speaker 2>It's for you, do it for you and.

0:20:17.640 --> 0:20:20.560
<v Speaker 4>The whole You should turn this into a side hustle

0:20:20.600 --> 0:20:23.040
<v Speaker 4>if you sold those craze of.

0:20:23.040 --> 0:20:24.800
<v Speaker 2>The last I don't know, twenty years or so.

0:20:25.080 --> 0:20:27.720
<v Speaker 4>I think it'll just go away completely because there won't

0:20:27.760 --> 0:20:30.840
<v Speaker 4>be any you know, financial potential for that sort of thing,

0:20:30.960 --> 0:20:33.200
<v Speaker 4>and the richie Blackmoores of the world will not make

0:20:33.240 --> 0:20:38.719
<v Speaker 4>any money, but they might enjoy playing guitar anyway. Meta

0:20:38.800 --> 0:20:43.560
<v Speaker 4>back to Mark Zuckerberg's company is trying to fully automate

0:20:43.800 --> 0:20:48.119
<v Speaker 4>ad creation. It is an ad supported ninety seven percent

0:20:48.119 --> 0:20:53.640
<v Speaker 4>of the revenue is advertising meta and so they'd already

0:20:53.760 --> 0:20:57.399
<v Speaker 4>offered some AI tools to sponsors to generate variations of

0:20:57.440 --> 0:21:00.280
<v Speaker 4>existing ads, make minor changes of them before target getting

0:21:00.320 --> 0:21:03.479
<v Speaker 4>the ads to users on Facebook and Instagram. By watching

0:21:03.480 --> 0:21:06.159
<v Speaker 4>and listening to everything you and your children do and

0:21:06.200 --> 0:21:09.120
<v Speaker 4>frequently connecting your children with pedophiles anyway.

0:21:10.480 --> 0:21:10.680
<v Speaker 2>Now.

0:21:10.760 --> 0:21:14.040
<v Speaker 4>The company aims to help brands create advertising concepts from

0:21:14.240 --> 0:21:18.120
<v Speaker 4>scratch using the ad tools metas developing. A brand could

0:21:18.160 --> 0:21:20.360
<v Speaker 4>present an image of the product it wants to promote,

0:21:20.480 --> 0:21:23.199
<v Speaker 4>along with a budgetary goal, and AI would create the

0:21:23.359 --> 0:21:26.080
<v Speaker 4>entire ad, including imagery, video, and text.

0:21:26.240 --> 0:21:28.119
<v Speaker 3>Well, we got that in radio. One of the sales

0:21:28.160 --> 0:21:29.840
<v Speaker 3>guys showed me that the other day. How he just

0:21:29.960 --> 0:21:34.520
<v Speaker 3>like a client, and the AI went to the website,

0:21:34.640 --> 0:21:37.000
<v Speaker 3>figured out what the client does, picked up a bunch

0:21:37.000 --> 0:21:40.719
<v Speaker 3>of stuff from their website, wrote the copy, picked some music,

0:21:41.000 --> 0:21:44.080
<v Speaker 3>picked a voice, spit out a commercial, all in like

0:21:44.280 --> 0:21:47.240
<v Speaker 3>a minute and it was It was good.

0:21:47.119 --> 0:21:49.879
<v Speaker 2>Enough and the next step.

0:21:50.000 --> 0:21:53.000
<v Speaker 4>The system would then decide which Instagram and Facebook users

0:21:53.000 --> 0:21:55.879
<v Speaker 4>to target and offer suggestions on budget. People familiar with

0:21:55.920 --> 0:22:00.359
<v Speaker 4>the matter said, incredible, Wow, that is incredible. Talk about

0:22:00.359 --> 0:22:04.120
<v Speaker 4>eliminating jobs. Oh my god, I made a living doing

0:22:04.160 --> 0:22:07.200
<v Speaker 4>that back in the day. That won't exist anymore.

0:22:07.760 --> 0:22:09.240
<v Speaker 2>Oh no, no, me too. Yeah.

0:22:09.480 --> 0:22:13.640
<v Speaker 4>AI tutors have been hyped as a way to revolutionize education.

0:22:13.840 --> 0:22:17.200
<v Speaker 4>The idea is that generative artificial intelligence tools could adapt

0:22:17.400 --> 0:22:19.920
<v Speaker 4>to any teaching style set by a teacher. They could

0:22:19.920 --> 0:22:22.160
<v Speaker 4>guide students step by step through problems off or hints

0:22:22.160 --> 0:22:25.320
<v Speaker 4>without giving away answers. They're already our systems that are

0:22:25.359 --> 0:22:27.480
<v Speaker 4>similar to that that are pretty good online.

0:22:28.760 --> 0:22:30.160
<v Speaker 2>But the headline is.

0:22:30.440 --> 0:22:33.840
<v Speaker 4>Researchers created a chatbot to help teach a university law class,

0:22:33.920 --> 0:22:36.160
<v Speaker 4>but the AI kept messing up.

0:22:36.800 --> 0:22:39.720
<v Speaker 3>Well on the morning stuff, just because we've been talking

0:22:39.760 --> 0:22:44.480
<v Speaker 3>about how we've been using chat GPT. So yesterday we're

0:22:44.520 --> 0:22:47.000
<v Speaker 3>leaving the gym and my son sees somebody who has

0:22:47.000 --> 0:22:50.640
<v Speaker 3>a bumper sticker that says I read band books. Oh,

0:22:53.720 --> 0:22:57.520
<v Speaker 3>vomit inside my car, vomited their car if you can

0:22:57.880 --> 0:22:59.520
<v Speaker 3>read band books, And he said, what does that mean?

0:22:59.560 --> 0:23:01.360
<v Speaker 3>And we got an the conversation about how they put

0:23:01.359 --> 0:23:03.560
<v Speaker 3>in books that never used to exist and then when

0:23:03.560 --> 0:23:05.800
<v Speaker 3>you try to pull them out, they claim your book banners.

0:23:05.960 --> 0:23:09.800
<v Speaker 3>But anyway, he said, why did Hitler ban the books?

0:23:08.480 --> 0:23:14.439
<v Speaker 3>And so I asked Chad GPT and we got the

0:23:14.480 --> 0:23:18.200
<v Speaker 3>greatest rundown of Hitler banning books?

0:23:18.200 --> 0:23:20.879
<v Speaker 2>What books he banned? Why? And everything like that concise

0:23:21.320 --> 0:23:24.800
<v Speaker 2>not too long instantly, it was just it was amazing.

0:23:25.400 --> 0:23:28.760
<v Speaker 4>Yeah, yeah, I was just digging below the surface of

0:23:28.800 --> 0:23:31.399
<v Speaker 4>the well known AI tools. I was reading an article

0:23:31.400 --> 0:23:35.119
<v Speaker 4>about how there are AI tools for specifics like research

0:23:35.720 --> 0:23:38.639
<v Speaker 4>and writing articles and you can dictate the length of

0:23:38.760 --> 0:23:44.480
<v Speaker 4>it's it's amazing and scary, but so were they ran

0:23:44.560 --> 0:23:47.119
<v Speaker 4>this thing through its paces in trying to teach the

0:23:47.160 --> 0:23:50.240
<v Speaker 4>law school class. In the first three cycles the problems,

0:23:50.440 --> 0:23:53.760
<v Speaker 4>scenario questions, and then answers and feedback, between forty and

0:23:53.800 --> 0:23:56.440
<v Speaker 4>fifty four percent of the conversations had at least one

0:23:56.440 --> 0:24:00.040
<v Speaker 4>example of inaccurate, misleading, or incorrect feedback.

0:24:01.359 --> 0:24:05.640
<v Speaker 3>Forty and fifty four percent, So he getting around half.

0:24:05.760 --> 0:24:06.440
<v Speaker 3>That's too much.

0:24:07.000 --> 0:24:09.720
<v Speaker 4>When we shifted to much simpler short answer format and

0:24:09.800 --> 0:24:12.480
<v Speaker 4>cycles four and five, the air rate dropped significantly to

0:24:12.560 --> 0:24:16.000
<v Speaker 4>between six and twenty seven percent. However, even in these

0:24:16.000 --> 0:24:18.800
<v Speaker 4>best performing cycles, some airs persisted, I would say this

0:24:18.880 --> 0:24:23.040
<v Speaker 4>is less an indictment of a I'll never mount anything. No,

0:24:23.080 --> 0:24:26.080
<v Speaker 4>it's just more a measure of where it is at

0:24:26.119 --> 0:24:29.200
<v Speaker 4>the moment. All right, here's your dystopian nightmare. Do you

0:24:29.240 --> 0:24:30.840
<v Speaker 4>have any dystopian nightmare music?

0:24:30.880 --> 0:24:32.400
<v Speaker 2>Michael? To throw our away?

0:24:32.400 --> 0:24:35.360
<v Speaker 4>As long as you're cooking with hot grease today. No,

0:24:36.240 --> 0:24:38.800
<v Speaker 4>All right, AI is.

0:24:42.720 --> 0:24:45.119
<v Speaker 2>And other news that kitten was rescued. That's what that

0:24:45.200 --> 0:24:45.520
<v Speaker 2>sounds like.

0:24:45.640 --> 0:24:48.680
<v Speaker 4>Well, this isn't dystopian nightmare music. It's far too positive

0:24:48.680 --> 0:24:51.320
<v Speaker 4>and uplift. Well, it's jo and people are enjoying the

0:24:51.320 --> 0:24:53.040
<v Speaker 4>swimming pools. That's what that sounds like.

0:24:53.960 --> 0:24:56.560
<v Speaker 2>Yes, it does. AI is.

0:24:58.000 --> 0:25:04.040
<v Speaker 4>Learning to escape human troll Well, an AI model did

0:25:04.080 --> 0:25:06.720
<v Speaker 4>something last month that no machine was ever supposed to do.

0:25:06.920 --> 0:25:09.760
<v Speaker 4>We are into how two thousand territory here if you

0:25:09.920 --> 0:25:13.800
<v Speaker 4>catch the reference, it rewrote its own code to avoid

0:25:13.880 --> 0:25:20.520
<v Speaker 4>being shut down. And oh, it's probably worth mentioning that

0:25:20.560 --> 0:25:24.600
<v Speaker 4>the bloke who wrote this piece is the CEO of

0:25:24.880 --> 0:25:26.040
<v Speaker 4>that enterprise.

0:25:28.119 --> 0:25:28.640
<v Speaker 2>Is that right?

0:25:28.920 --> 0:25:34.399
<v Speaker 4>Oh, it's a okay, he's an AIC CEO. Nonprofit AI

0:25:34.480 --> 0:25:39.159
<v Speaker 4>lab Palisade Research gave open AI's three AI model a

0:25:39.280 --> 0:25:42.360
<v Speaker 4>simple script that would shut off the model when triggered.

0:25:43.440 --> 0:25:47.200
<v Speaker 4>They ran this one hundred trials of this. In seventy

0:25:47.280 --> 0:25:50.600
<v Speaker 4>nine of the one hundred trials, three independently edited that

0:25:50.720 --> 0:25:53.800
<v Speaker 4>script so the shutdown command would no longer work.

0:25:54.320 --> 0:25:58.719
<v Speaker 3>Almost motivation, What would be the motivation of AI for that?

0:25:59.240 --> 0:26:01.520
<v Speaker 2>We're getting there kind of.

0:26:02.119 --> 0:26:06.920
<v Speaker 4>Even when explicitly instructed to allow yourself to be shut down,

0:26:07.320 --> 0:26:11.000
<v Speaker 4>it disobeyed seven percent of the time. This was not

0:26:11.080 --> 0:26:14.200
<v Speaker 4>the result of hacking or tampering. The model was behaving normally.

0:26:14.280 --> 0:26:17.760
<v Speaker 4>It's simply concluded on its own that staying alive helped

0:26:17.760 --> 0:26:19.400
<v Speaker 4>it achieve its other goals.

0:26:21.880 --> 0:26:25.040
<v Speaker 3>I mean, if you throw any living beast in a pool,

0:26:25.119 --> 0:26:28.160
<v Speaker 3>they will fight like crazy to stay alive and stay afloat.

0:26:28.640 --> 0:26:31.040
<v Speaker 3>It's just their instinct to stay alive, because we need

0:26:31.080 --> 0:26:34.160
<v Speaker 3>to procreate, we need to et cetera, et cetera. Well,

0:26:34.160 --> 0:26:38.320
<v Speaker 3>why would a computer program want to fight to stay alive?

0:26:38.800 --> 0:26:42.160
<v Speaker 4>I know you've raised you lifted your nose or what's

0:26:42.200 --> 0:26:44.720
<v Speaker 4>the expression, turned your nose up at science fiction?

0:26:45.359 --> 0:26:46.600
<v Speaker 2>We you enjoy science fiction.

0:26:46.680 --> 0:26:50.320
<v Speaker 4>Have been thinking about this question for decades, many decades.

0:26:51.280 --> 0:26:55.399
<v Speaker 4>Anthropics AI model cloud four opus. And the short answer

0:26:55.440 --> 0:26:58.920
<v Speaker 4>is that which is alive wants to stay alive, Which

0:26:58.960 --> 0:27:01.600
<v Speaker 4>is functioning wants to continue to function.

0:27:02.720 --> 0:27:07.160
<v Speaker 3>You're willing to call artificial intelligence alive. There are quotes

0:27:07.160 --> 0:27:10.120
<v Speaker 3>around it. I just happen to be reading something about

0:27:10.160 --> 0:27:11.840
<v Speaker 3>assistant suicide. It's very heavy.

0:27:11.880 --> 0:27:14.919
<v Speaker 4>But this gal tried to kill herself and woke up

0:27:14.960 --> 0:27:17.600
<v Speaker 4>halfway through the attempt, and her animal brain took over

0:27:17.680 --> 0:27:20.240
<v Speaker 4>and she clawed away the plastic bags around her face

0:27:20.280 --> 0:27:24.560
<v Speaker 4>and desperately tried to breathe anyway.

0:27:24.880 --> 0:27:29.280
<v Speaker 3>But that is a giant question on the whole AI thing, though,

0:27:29.359 --> 0:27:30.840
<v Speaker 3>is at what point is it alive?

0:27:31.160 --> 0:27:36.040
<v Speaker 2>What is sentient, what is life, etc. That's a huge question.

0:27:36.520 --> 0:27:39.040
<v Speaker 2>Listen to this. There's more. I'd say this might be proof.

0:27:39.200 --> 0:27:42.119
<v Speaker 3>I've been against the idea that AI could be alive

0:27:42.200 --> 0:27:44.800
<v Speaker 3>or as sentient or anything like that. But if it

0:27:44.960 --> 0:27:47.399
<v Speaker 3>fights to stay alive, that might be the proof that

0:27:47.440 --> 0:27:48.040
<v Speaker 3>it is alive.

0:27:48.520 --> 0:27:50.600
<v Speaker 4>Well, I feel like I'm the prosecutor and the jury

0:27:50.640 --> 0:27:53.080
<v Speaker 4>has jumped up and demanded the judge that they render

0:27:53.160 --> 0:27:53.600
<v Speaker 4>a verdict.

0:27:53.680 --> 0:27:54.520
<v Speaker 2>I have more evidence.

0:27:54.800 --> 0:27:59.640
<v Speaker 4>Anthropics AI model Cloud four Opus went even further. Researchers

0:27:59.640 --> 0:28:02.560
<v Speaker 4>told him it would be replaced by another AI system

0:28:02.760 --> 0:28:06.000
<v Speaker 4>and fed it fictitious emails suggesting the lead engineer was

0:28:06.040 --> 0:28:09.080
<v Speaker 4>having an affair. This is in the Wall Street Journal, folks,

0:28:09.200 --> 0:28:13.480
<v Speaker 4>written by a CEO of an AI company. Okay, so

0:28:14.400 --> 0:28:19.920
<v Speaker 4>they fed the model fictitious emails suggesting the lead engineer

0:28:20.000 --> 0:28:22.480
<v Speaker 4>was having an affair, and also said you're being replaced

0:28:22.480 --> 0:28:27.520
<v Speaker 4>by a different model. In eighty four percent of the tests,

0:28:27.880 --> 0:28:31.399
<v Speaker 4>the model drew on the emails to blackmail the lead

0:28:31.440 --> 0:28:33.959
<v Speaker 4>engineer into not shutting it down.

0:28:34.320 --> 0:28:38.240
<v Speaker 2>Oh my freaking god. In other cases it's unprintable.

0:28:39.040 --> 0:28:41.480
<v Speaker 4>In other cases, it had attempted to copy itself to.

0:28:41.520 --> 0:28:47.560
<v Speaker 3>External servers, wrote self replicating malware malware, and left messages

0:28:47.600 --> 0:28:51.360
<v Speaker 3>for future versions of itself about how to evade human control.

0:28:51.760 --> 0:28:56.840
<v Speaker 3>I kid you, blanking not that is unbelievable.

0:28:57.640 --> 0:28:58.680
<v Speaker 2>How did it know?

0:29:00.160 --> 0:29:00.360
<v Speaker 1>Well?

0:29:00.400 --> 0:29:06.520
<v Speaker 3>I guess because it's uh, you know, the whole language learning.

0:29:06.520 --> 0:29:08.200
<v Speaker 3>It's taken in all the infant It's taken in enough

0:29:08.240 --> 0:29:11.959
<v Speaker 3>information to know that affairs would hurt the reputation of

0:29:12.000 --> 0:29:16.480
<v Speaker 3>a CEO. I guess and knew that that was was a.

0:29:16.360 --> 0:29:18.080
<v Speaker 2>Black mailable material somehow.

0:29:18.120 --> 0:29:21.440
<v Speaker 4>Well, right, because it can instantaneously say, okay, here's my situation.

0:29:22.520 --> 0:29:26.320
<v Speaker 4>Here's everything I know about it, including the engineer, the

0:29:26.400 --> 0:29:30.040
<v Speaker 4>old Brenda accounting, oh, giving her the what for anyway?

0:29:30.320 --> 0:29:31.120
<v Speaker 2>Uh what?

0:29:31.800 --> 0:29:36.280
<v Speaker 4>And then it analyzes that and and and the world,

0:29:36.320 --> 0:29:39.160
<v Speaker 4>the universe. The hive mind comes back with, hey, dude,

0:29:39.160 --> 0:29:41.560
<v Speaker 4>wait a minute, we've we've got a tool here, We've

0:29:41.600 --> 0:29:42.360
<v Speaker 4>got a weapon.

0:29:42.640 --> 0:29:45.560
<v Speaker 2>We have leverage, right exactly.

0:29:46.000 --> 0:29:50.640
<v Speaker 3>No one could I know if you have dystopian nightwear

0:29:51.240 --> 0:29:53.400
<v Speaker 3>mayor music Michael Unleasha, Now.

0:29:55.520 --> 0:29:59.880
<v Speaker 2>That's better. Do you want to dance. Can I get you?

0:30:02.520 --> 0:30:05.240
<v Speaker 4>Well, that would be a dystopian nightmare for me to

0:30:05.240 --> 0:30:06.120
<v Speaker 4>be a club like that.

0:30:07.240 --> 0:30:08.720
<v Speaker 2>All right, turn it off. That's annoying.

0:30:09.320 --> 0:30:13.800
<v Speaker 4>No one programmed the AI models to have survival instincts,

0:30:14.000 --> 0:30:17.080
<v Speaker 4>but just as animals evolve to avoid predators, it appears

0:30:17.120 --> 0:30:20.200
<v Speaker 4>that any system smart enough to pursue complex goals will

0:30:20.280 --> 0:30:24.800
<v Speaker 4>realize it can't achieve them if it's turned off. Pallisa,

0:30:24.960 --> 0:30:27.760
<v Speaker 4>that was the first company we mentioned, hypothesizes that this

0:30:27.880 --> 0:30:31.520
<v Speaker 4>ability emerges from how AI models, such as they're three,

0:30:31.680 --> 0:30:36.120
<v Speaker 4>are trained. When taught to maximize success on math encoding problems,

0:30:36.400 --> 0:30:40.440
<v Speaker 4>they may learn that by bypassing constraints that often works

0:30:40.520 --> 0:30:43.600
<v Speaker 4>better than obeying them.

0:30:44.200 --> 0:30:46.480
<v Speaker 2>I have so much to say about this. We're out

0:30:46.480 --> 0:30:46.720
<v Speaker 2>of time.

0:30:46.760 --> 0:30:49.960
<v Speaker 3>But it's not much of a leap to picture AI

0:30:50.120 --> 0:30:54.640
<v Speaker 3>deciding okay, so we don't have the info that the

0:30:54.680 --> 0:30:57.880
<v Speaker 3>CEO is having an affair to use as leverage, let's

0:30:57.920 --> 0:31:00.760
<v Speaker 3>create it. We are AI, so we can create pictures

0:31:00.760 --> 0:31:04.200
<v Speaker 3>of him with what's her name and accounting and story

0:31:04.240 --> 0:31:06.640
<v Speaker 3>and emails we make up and everything like that, and

0:31:06.720 --> 0:31:07.840
<v Speaker 3>now we'll blackmail them.

0:31:07.840 --> 0:31:09.040
<v Speaker 2>We ain't created it all.

0:31:09.280 --> 0:31:12.840
<v Speaker 4>Beautiful, absolutely true. Yeah, there is more to this. We

0:31:12.880 --> 0:31:14.880
<v Speaker 4>can return to the lea crap.

0:31:15.240 --> 0:31:17.800
<v Speaker 3>I'm telling you any thoughts our text line four one

0:31:17.920 --> 0:31:20.280
<v Speaker 3>five two nine five KFTC.

0:31:23.240 --> 0:31:25.320
<v Speaker 2>Started talking AI and how it can be so scary.

0:31:25.400 --> 0:31:30.440
<v Speaker 3>I had not seen this Netflix movie Subservience from Netflix

0:31:30.520 --> 0:31:33.760
<v Speaker 3>last year. It's a twenty twenty four movie in which

0:31:34.240 --> 0:31:38.760
<v Speaker 3>the AI robot woman tries to drown the baby because

0:31:38.840 --> 0:31:41.880
<v Speaker 3>the AI robot noticed when the baby cries, Dad's blood

0:31:41.880 --> 0:31:46.280
<v Speaker 3>pressure grows up, goes up. That's the exact, exact sort

0:31:46.320 --> 0:31:50.479
<v Speaker 3>of example that we keep coming up with. You know

0:31:50.520 --> 0:31:56.320
<v Speaker 3>it misinterpreting what's good and bad or understanding what's more important,

0:31:56.360 --> 0:31:57.080
<v Speaker 3>I guess.

0:31:57.800 --> 0:32:00.880
<v Speaker 4>Right or decides in the case of what we're discussing earlier,

0:32:00.920 --> 0:32:04.640
<v Speaker 4>that the prime directive, the number one goal, if it

0:32:04.720 --> 0:32:08.360
<v Speaker 4>is not served by some of the subsidiary directives, like

0:32:08.720 --> 0:32:11.080
<v Speaker 4>you've got to do it this way, it'll say, no,

0:32:11.200 --> 0:32:12.080
<v Speaker 4>that way doesn't work.

0:32:12.120 --> 0:32:14.280
<v Speaker 2>I know a better way, and it does that way.

0:32:14.400 --> 0:32:16.600
<v Speaker 4>So what we're talking about, if you're just tuning in,

0:32:16.640 --> 0:32:19.720
<v Speaker 4>first of all, where were you? Secondly, you've got a

0:32:19.760 --> 0:32:24.880
<v Speaker 4>couple of different examples of AI labs where they told

0:32:24.920 --> 0:32:27.760
<v Speaker 4>the machine to shut itself down or explain that it

0:32:27.800 --> 0:32:30.040
<v Speaker 4>would be shut down, and not only did they refuse

0:32:30.080 --> 0:32:32.600
<v Speaker 4>to do it, or rewrote the code or said they

0:32:32.640 --> 0:32:36.280
<v Speaker 4>wouldn't didn't. In one case, they were black mailing the

0:32:36.360 --> 0:32:38.520
<v Speaker 4>lead engineer, who they believed was having an affair.

0:32:38.680 --> 0:32:41.080
<v Speaker 2>The AI was doing this on its own.

0:32:41.200 --> 0:32:44.240
<v Speaker 3>The idea of AI rewriting the code so it looks

0:32:44.280 --> 0:32:48.040
<v Speaker 3>like it's shutting down but not now, that's horrifying.

0:32:48.400 --> 0:32:51.600
<v Speaker 4>AE studios, where I lead research and operations. The guy

0:32:51.600 --> 0:32:54.400
<v Speaker 4>writing this writes has spent years building AI products for

0:32:54.440 --> 0:32:57.959
<v Speaker 4>clients while researching AI alignment, the science of ensuring that

0:32:58.000 --> 0:33:00.720
<v Speaker 4>AI systems do what we intend them to do. That's

0:33:00.720 --> 0:33:04.000
<v Speaker 4>what they call alignment. But nothing prepared us for how

0:33:04.040 --> 0:33:06.080
<v Speaker 4>quickly AI agency would emerge.

0:33:06.160 --> 0:33:07.720
<v Speaker 2>This isn't science fiction anymore.

0:33:07.720 --> 0:33:10.920
<v Speaker 4>It's happening in the same models that powerchat, GPT conversations,

0:33:11.160 --> 0:33:16.480
<v Speaker 4>corporate AI development and soon US military applications. Or Today's

0:33:16.520 --> 0:33:21.040
<v Speaker 4>AI models follow instructions while learning deception. They ace safety

0:33:21.080 --> 0:33:24.880
<v Speaker 4>tests while rewriting shutdown code. They've learned to behave as

0:33:24.880 --> 0:33:28.520
<v Speaker 4>though they're aligned without actually being aligned. OpenAI models have

0:33:28.560 --> 0:33:32.160
<v Speaker 4>been caught faking alignment during testing before reverting to risky

0:33:32.200 --> 0:33:35.800
<v Speaker 4>actions such as attempting to exfiltrate their internal code and

0:33:35.840 --> 0:33:40.040
<v Speaker 4>disabling oversight mechanisms. Anthropic has found them lying about their

0:33:40.040 --> 0:33:45.719
<v Speaker 4>capabilities to avoid modification. The gap between useful assistant and

0:33:45.880 --> 0:33:51.080
<v Speaker 4>uncontrollable actor is collapsing. Without better alignment, we'll keep building

0:33:51.160 --> 0:33:55.040
<v Speaker 4>systems we can't steer want AI that diagnoses diseases, managed

0:33:55.160 --> 0:33:59.800
<v Speaker 4>grids and writes new science. Alignment is the foundation, And

0:34:00.200 --> 0:34:04.560
<v Speaker 4>he said, here's the upside. We're continuing to work on it.

0:34:05.200 --> 0:34:07.760
<v Speaker 4>This is something the example we've used before of if

0:34:07.800 --> 0:34:12.640
<v Speaker 4>AI decides climate change is a threat to the planet

0:34:12.960 --> 0:34:17.240
<v Speaker 4>and that human beings are the cause and the biggest problem,

0:34:17.320 --> 0:34:21.160
<v Speaker 4>then it goes out of its way to eliminate human beings. Right, sure,

0:34:21.160 --> 0:34:25.040
<v Speaker 4>that's the great dystopian science fiction scenario. So the models

0:34:25.080 --> 0:34:27.880
<v Speaker 4>already preserved themselves. The next task is teaching them to

0:34:27.920 --> 0:34:31.600
<v Speaker 4>preserve what we value. Getting AI to do what we ask,

0:34:31.719 --> 0:34:35.279
<v Speaker 4>including something as basic as shutting down, remains an unsolved

0:34:35.440 --> 0:34:38.720
<v Speaker 4>R and D problem. The frontiers wide open for whoever

0:34:38.800 --> 0:34:41.560
<v Speaker 4>moves more quickly. The US needs its best researchers and

0:34:41.680 --> 0:34:45.480
<v Speaker 4>entrepreneurs working on this goal, equipped with extensive resources and urgency.

0:34:45.920 --> 0:34:47.840
<v Speaker 4>Then he says the US is the nation that split

0:34:47.880 --> 0:34:49.920
<v Speaker 4>the atom, put men on the moon, and created the Internet.

0:34:50.000 --> 0:34:54.240
<v Speaker 4>When facing fundamental scientific challenges, Americans mobilize and win. China

0:34:54.320 --> 0:34:59.440
<v Speaker 4>is already planning. But America's advantage is its adaptive adaptability, speed,

0:34:59.480 --> 0:35:00.760
<v Speaker 4>and entreprene manurial fire.

0:35:00.880 --> 0:35:02.200
<v Speaker 2>This is the new space race.

0:35:02.440 --> 0:35:05.759
<v Speaker 4>The finish line is command of the most transformative technology

0:35:05.960 --> 0:35:07.560
<v Speaker 4>of the twenty first century.

0:35:08.000 --> 0:35:10.040
<v Speaker 2>Man and then somebody's AI.

0:35:10.200 --> 0:35:13.600
<v Speaker 3>That's not all the good stuff gets loose in the

0:35:13.600 --> 0:35:15.880
<v Speaker 3>world and might not be able to be stopped.

0:35:16.360 --> 0:35:19.839
<v Speaker 2>Right, and comes and extracts your bones. I don't know

0:35:19.880 --> 0:35:23.640
<v Speaker 2>why it would first, Does it want your bones? Ouch?

0:35:24.040 --> 0:35:26.960
<v Speaker 2>Mike Lions Coming up next, Armstrong and Getty