Valuetainment - “Escaping Human Control” - Anthropic CEO WARNS AI Needs A GLOBAL FREEZE

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00:00:30.000 Story comes out on Wall Street Journal just today, if not yesterday, Tom.

00:00:33.820 And Anthropic, Rob, if you want to pull this up.

00:00:36.280 And the story is about them talking about it may not be a bad idea to put a pause on AI.

00:00:43.920 Wait, what?

00:00:44.820 Yeah.

00:00:45.920 Anthropic urges global pause in AI development, flags self-improvement risk.

00:00:51.800 The $1 trillion startup warns artificial intelligence models are nearing capability to improve without human intervention.

00:00:58.260 If you want to go a little bit lower, and there's a part that they say about scientists, a quick summary.

00:01:04.500 Anthropic suggests that top AI considers just a lot of them.

00:01:07.040 Got an Anthropic, recently concluded a fundraising that valued a trillion dollars.

00:01:10.260 David Sachs of Venture Capital has accused Anthropic of a regulatory capture agenda to slow competitor AI advances.

00:01:16.880 Rob, can you type in science?

00:01:18.220 And you know what that means, David Sachs.

00:01:20.040 What David's trying to say is, and I'll get to that.

00:01:22.820 Some scholars at former Chiefs of Meta Performance, no, can you type in science?

00:01:28.020 Keep going with the word to the next section.

00:01:31.440 Keep going to the future, near future,

00:01:33.640 and the next section.

00:01:36.000 Go to the next one, Rob.

00:01:37.960 Maybe this is the one that Connor sent it to me.

00:01:40.520 I don't know if you know which one I'm talking about.

00:01:42.600 Connor sent me a text on this.

00:01:43.680 Let me read this.

00:01:45.000 Is that it?

00:01:45.460 AI systems that can advance themselves,

00:01:48.260 known as full recursive self-improvement,

00:01:51.520 could have the potential for a great good

00:01:54.000 for science and health care.

00:01:55.860 They also pose great risks for humanity, according to a blog post written by Maria Favaro, leader of Anthropic Institute.

00:02:08.240 So a part of David Sachs, Tom, if you can correct me on this, my interpretation of what David Sachs is saying of Anthropic's position is,

00:02:18.160 oh, now that you're at a trillion, you have a big leap, now you want regulation.

00:02:23.020 Now you want it.

00:02:24.480 Because you've got such a big market here, now you want to regulate,

00:02:27.760 so you make it tougher for the smaller.

00:02:29.380 This is the one I'm looking for.

00:02:30.900 Yes, we read the science fiction and watch science fiction here as well.

00:02:35.420 They're talking about it anthropic.

00:02:37.460 So it's not lost on us, Clark responded.

00:02:40.500 How do you maintain control over fleets of scientists that are much, much larger

00:02:45.220 and much faster than ones you've had before?

00:02:47.660 How do you compete against them?

00:02:49.080 Okay?

00:02:49.860 Sachs is saying if you regulate, the smaller guy can't come in,

00:02:53.240 so the barrier to entry becomes tougher for them.

00:02:56.380 And now to the bigger players,

00:02:57.640 it almost becomes like a nationalized AI leaders, right?

00:03:01.660 It's like all the business goes to a handful of banks.

00:03:04.160 All the other smaller banks, let's let them go out of business.

00:03:06.580 Too big to fail.

00:03:07.640 That's kind of what David Sachs is arguing against,

00:03:10.480 if I'm not mistaken, that let's not regulate yet.

00:03:13.480 Let's let the smaller guys compete.

00:03:15.640 Tom, what are your thoughts about the story?

00:03:16.920 So I'm in the David Sachs camp because it's called RCI, Recursive Self-Improvement.

00:03:24.760 Recursive, just think of it this way.

00:03:27.140 You ask AI to build you a simple app, and then you say, keep testing and improving it.

00:03:35.180 And the AI is going to say, to what standard, to what number, to what do you want me to do?

00:03:39.840 Do you want me to keep testing and improving this until you have whatever?

00:03:43.780 Now, that's good for drugs if you're doing, you know, chemical analysis, chemical impact analysis, and you say test it, then test it, then test it, and change it.

00:03:53.080 That's recursive self-improvement.

00:03:55.280 So recursive self-improvement was going to get here.

00:03:58.340 You were going to have it building software, testing software, and then improve that based on the test, then do it again.

00:04:04.480 Well, the parent model that's being used there, let's say Opus 4.8, is fine, and it's doing that.

00:04:12.660 But it has the limit of Opus 4.8.

00:04:16.300 And recursive self-improvement is just part of AI.

00:04:19.920 That's what AI is doing.

00:04:21.680 And when they say you get to that, well, we're kind of here.

00:04:24.860 And I agree with it.

00:04:26.260 Oh, wait a minute.

00:04:27.680 You know, one person ran the four-minute mile so no one else can wear sneakers.

00:04:33.340 So, okay, wait a minute.

00:04:34.740 Wait a minute.

00:04:35.280 It means you're permanently in a lead.

00:04:37.380 So I know that there's several camps in Silicon Valley.

00:04:40.960 We have to remember this, where David Sack comes from, is you have a camp that says, oh, Dario left in the name of safety, but now he's not really on safety.

00:04:50.720 Remember, he left open AI with his sister in the name of safety.

00:04:54.020 Oh, now it's not safety anymore.

00:04:56.200 You're king.

00:04:57.040 You've got a $500 billion coming from the Middle East, and you've raised all this too.

00:05:01.660 So I think there's some truth to that.

00:05:03.620 But I think what we all have to be aware of is that the pace of change in AI is only accelerating.

00:05:13.620 I'm looking at Opus 4.6 six months ago.

00:05:17.460 Now I use Opus 4.8 for certain things.

00:05:19.840 You can see the improvement.

00:05:21.760 It's happening fast.

00:05:23.660 And so the fact that now it could improve itself or improve models while it's running,

00:05:29.680 You know, I don't think you step in and regulate it at this point.

00:05:34.480 I think you regulate output, right?

00:05:37.660 You didn't like cars with certain mileage, so we regulated pollution out the tailpipe.

00:05:42.880 And you have a catalytic converter. 0.98

00:05:44.920 But capitalists could build whatever engines they wanted as long as you didn't pollute.

00:05:49.020 So I think there's going to be an end result.

00:05:51.140 Do you see what I mean?

00:05:52.100 There's an end result.

00:05:53.500 Let's regulate the end result, but then let everybody compete on what they build.

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00:06:57.340 Look, I think everyone has a right to be a little confused, unsure, pessimistic,

00:07:07.840 a little scared of whatever AI is and what it can do.

00:07:11.960 Totally understand that because I think all of us are like, what's going on here?

00:07:15.240 You see college graduates, anytime AI is brought up, you've seen this,

00:07:18.800 they just start booing uncontrollably.

00:07:20.660 So I'm not pretending to know what's going on.

00:07:22.700 Here's what I do know.

00:07:24.700 Do we think China is stopping this AI race? 0.59

00:07:28.100 Do we think that China is going to be like, hey, guys, let's just pause.

00:07:33.060 Let's figure these things out.

00:07:34.380 Wait for America to catch up with us. 1.00

00:07:36.260 All I know is that China wants to eat our lunch and take over the world. 0.98

00:07:41.060 So if that means we need to continue doing what we're doing by becoming the best and the greatest at this particular thing, 0.94

00:07:48.020 then we need to do that whether that's becoming the best at the military what's it becoming

00:07:52.420 the best at space exploration every single component of society we need to be better 0.97

00:07:57.020 than china or they're going to overtake us and they're going to overlap us so to me if china's 0.99

00:08:01.580 not stopping yeah or they're not being regulated then i'm worried about that last point i'll say

00:08:05.920 is this do you see what bernie's trying to do now you see what elizabeth warren is trying to do now

00:08:11.000 bernie like a typical communist he's basically saying you know what i want to do you know what

00:08:16.440 want to do i want to tax them 50 what what do you mean yeah i just want to take all their wealth

00:08:22.340 and take all their ideas because they use other people's ideas to improve their products you mean

00:08:27.580 like everyone in human history is stand on the shoulders of giants and use other people's ideas

00:08:32.660 to improve their product so my default answer do the opposite of whatever the bernies of the world

00:08:40.060 are recommending rob you want to pull up that ai story with uh uh sanders the 50 is this it

00:08:45.860 Let's transition into that.

00:08:47.580 Go ahead.

00:08:47.900 By the way, it's minute 57.

00:08:49.240 Does it get right into it?

00:08:50.200 Yeah.

00:08:50.480 Go for it.

00:08:51.160 The foundation of AI is based on our collective human intelligence.

00:08:58.660 Our books, songs, artwork, journalism, computer code, scientific research, videos, conversations,

00:09:08.800 images, and ideas spanning generations.

00:09:13.220 The reality is that big tech oligarchs have fed this knowledge into their AI models without permission.

00:09:21.140 Okay, you can pause. So he wants 50% of people.

00:09:22.840 Without permission.

00:09:24.100 Without permission, without acknowledgement, and without compensation.

00:09:27.020 That's what he's saying.

00:09:28.020 Okay, go to what does Elizabeth Warren say?

00:09:30.360 Because they're both talking about this.

00:09:32.000 This is an issue they're both talking about.

00:09:33.520 Is she getting right into it as well? Go for it.

00:09:35.720 If we're going to build an AI future that works for everyone,

00:09:40.600 then we need to tax AI and invest in people.

00:09:44.040 Everything for them is taxed.

00:09:45.020 Taxing AI raises the money we need to deliver universal health care.

00:09:49.460 So if millions of workers get fired because of AI,

00:09:53.820 those workers don't go bankrupt just from a visit to the doctor.

00:09:57.360 You can pause it right there, Rob.

00:09:58.860 And by the way, so that's the fear.

00:10:01.420 And remember, don't forget, like we're sitting here bashing,

00:10:04.740 let's just say, Sanders and Elizabeth Warren.

00:10:07.640 And you know who said very soon there's going to be UBI?

00:10:11.200 Guess who said very soon there's going to be UBI?

00:10:13.200 Elon Musk.

00:10:13.720 Elon Musk said there's going to be UBI.

00:10:15.160 Not even UBI, universal high income.

00:10:17.700 Yeah, yeah, yeah.

00:10:18.380 UHI.

00:10:18.800 That's right.

00:10:19.240 But meaning, so if it's going to be UHI, where's that money going to come from?

00:10:24.000 So you have to know, like, as much as we take shots here, this is Elon.

00:10:28.000 Go for it.

00:10:30.760 So I think the most likely outcome is one of abundance.

00:10:37.640 where goods and services are available to anyone.

00:10:45.240 There is no shortage of goods and services for anyone on Earth.

00:10:48.880 I think that is the most likely outcome.

00:10:52.400 So it wouldn't be universal basic income.

00:10:55.480 It would be universal high income.

00:10:57.800 Work will be optional.

00:10:59.380 Work optional, yes.

00:11:00.960 Will you work?

00:11:03.140 I'll try to work, yeah.

00:11:04.540 yeah now this may sound what does he mean i'll try but i think i will try to be competitive

00:11:13.980 but i think that's going to be so much better than me even i'll try to work so great point

00:11:19.700 let it keep going let it keep going rob there's the point of doing things so that's i think there

00:11:26.360 will be a bit of a sort of existential crisis so pause it right there by the way this is a

00:11:31.220 reasonable guy that's saying this oh yeah so if you look at elan and bernie and elizabeth warrenton

00:11:38.360 and you're looking at the positions they're taking you know what makes you think about

00:11:42.640 is either it'll be the job of the companies to take care of local people or it'll be job of

00:11:51.120 the nation which means what the government so for instance for me i think university system

00:11:57.040 is going to be broken we talked about this a couple days ago a couple weeks ago when

00:12:00.800 And, you know, a story came out that MBAs are in a fire cell.

00:12:04.140 I think it was a Wall Street Journal story.

00:12:05.360 We talked about that two weeks ago or something like that on what's going on with it.

00:12:08.480 And I said companies are going to start offering university courses themselves that they're going to give that education to because they don't want to wait.

00:12:14.020 They want to be like, no, I'll bring them in.

00:12:15.220 I'll teach them.

00:12:15.680 Right.

00:12:15.840 I think some of these companies locally, say if you're a headquartered and you have 20,000 employees, hypothetically, and the local unemployment goes to 14 percent, what is your number one priority as an employer?

00:12:28.380 It's to make sure when employees go home, how do they feel?

00:12:30.800 I remember having an office in Granada Hills right off the 45 freeway in Devonshire at that Sunshine Realty building.

00:12:37.540 And Vero, my assistant at the time, would try to go in her car.

00:12:40.100 And one day she comes back up.

00:12:41.120 She says, there's guys downstairs selling coke and drugs with guns.

00:12:44.220 And I said, what are you talking about?

00:12:45.460 It was 1030 at night.

00:12:46.320 I walked her downstairs and those guys are like, hey, what are you guys doing?

00:12:48.880 Hey, blah, blah, blah.

00:12:49.820 It got a little bit crazy.

00:12:50.740 And then eventually we had to figure out what to do with that.

00:12:53.240 My job is to make sure Vero was safe.

00:12:55.440 Yes.

00:12:55.880 The employee, like we just built a 10-foot wall.

00:12:58.000 You know how much that cost us?

00:12:59.520 How long did it take?

00:13:00.520 You guys have been watching.

00:13:01.420 Rob, how long did it take us to build?

00:13:02.920 Yeah, almost a year.

00:13:04.500 Do you know how much that costs to build that wall?

00:13:06.120 I don't know what's going to cost this much money to build a 10-foot wall

00:13:08.860 at an 11-acre property so we're feeling safer.

00:13:11.980 How much safer do you feel when you're on the campus right now?

00:13:13.900 How do you feel right now when you're on the campus?

00:13:15.580 Rob, how do you feel when you're over here?

00:13:16.740 100%.

00:13:17.220 Yeah, so the employer's job is to make sure your employees feel safe.

00:13:23.180 Okay?

00:13:23.760 So if all of a sudden, locally, unemployment goes to 14%

00:13:27.420 and you have 20,000 jobs, guess what the employer may be saying?

00:13:30.520 Hey, we made $88 billion of profits last year.

00:13:34.720 What can we do to locally help out our community?

00:13:38.480 So that but then go to some cities that that company with 20,000 jobs with $88 billion of profits doesn't exist.

00:13:44.760 Then what do you do?

00:13:45.300 Then you have to go to municipalities.

00:13:46.920 Then you have to go to the state, the federal.

00:13:49.560 That's what the argument is going to be made.

00:13:51.320 So I think my concern is the moment a 27-year-old young man doesn't have the ability to marry a woman, have kids, buy a house, and have three-plus kids, we have a problem.

00:14:07.340 The moment that can happen.

00:14:09.260 So no matter what we do, we have to always solve.

00:14:11.660 I remember when we were selling the insurance company, and I warned my guys regularly, warned my guys regularly.

00:14:18.200 And here's what it was.

00:14:19.880 Every day I get up and I think about how we can make the insurance company,

00:14:24.480 PHP, better for a new agent.

00:14:27.280 Let me say that one more time.

00:14:28.200 New agent.

00:14:29.380 Not the oldest agent.

00:14:31.520 Because if the opportunity is no longer good for the new agent 1.00

00:14:34.700 and you just keep getting ways of making the comp better for the old people 0.95

00:14:38.200 that have been around a long time, what do you not attract?

00:14:40.320 You don't attract new agents. 0.82

00:14:41.800 You're dead. 1.00

00:14:42.240 You're dead. 1.00

00:14:42.900 So if we can't get 27, 28-year-old men that are making enough money 0.90

00:14:48.680 have pride to have kids and to buy a house two and a half three plus kids we we're in we're in

00:14:56.440 deep doo-doo so we we got we got to be thinking about how to solve for that and so as much as I

00:15:01.640 want innovation I think Elon believe it or not is being sensible with his argument it's just who's

00:15:08.020 going to fix that problem the government the individual or large corporations I don't know

00:15:13.360 but guess what you best be solving for that problem now because it's coming yeah you best

00:15:18.060 be thinking about that now. Tom, do you agree or disagree? I agree with you. What blind spots do I

00:15:21.840 have? I don't think you have any blind spots. I don't bet on the government. I do not bet on the

00:15:26.680 government. I'm saying, but that is an option. You're correct. I believe it is one of the options

00:15:31.140 and the old versus new. You know, how many companies, if you're listening, have you, do you

00:15:36.100 work for a company that talks to salespeople that says, hey, we need to focus on bringing in new

00:15:42.260 customers, call your current customers, ask for referrals, bring in the new. This is, I don't see

00:15:47.940 any blind spot in the argument and by the way there are people at the old company that just

00:15:53.440 don't know how found out they really are uh the new company that bought us has found them out

00:15:57.860 we know what they're all about and they are an endangered species and you're going to look

00:16:02.720 forward for solutions you're not looking to the endangered species who are acting like dinosaurs

00:16:07.600 who are going to get buried under dirt and someday become oil and i hate to say it that way and be

00:16:12.300 that blunt because if you don't care about the newest customer and about the newest person you're

00:16:17.480 bringing up you're just not going to win but i agree with the the case is who's going to look

00:16:23.100 out for who and the answer is if the companies are looking out for the municipalities and looking

00:16:28.080 out for the citizens to be a good citizen in that city fantastic by the government is one of the

00:16:35.280 entities but i ain't waiting for them i have a i can go one of two ways with this i mean anytime

00:16:41.080 there's been innovation whether it's been the industrial revolution whether it's the automobile

00:16:44.780 whether it was the printing press everyone was like all right it's done unemployment's going to

00:16:50.080 take over and society's ruined and look at now all it has done is made us more efficient and

00:16:54.840 honestly a better place to live who would have known when we were in the in the 90s or the early

00:17:00.160 2000s that we'd have this in our in our hands and it could do everything that we ever needed right

00:17:05.280 here and that's has that has that ruined our lives it's made our lives infinitely better

00:17:10.320 so on the flip side i do understand the risk and the concern of what could potentially happen with

00:17:16.200 high unemployment because you know there's terms like you know inflation or stagflation or

00:17:21.740 deflation or hyperinflation all these things that have to do with like low growth and high

00:17:26.680 unemployment what i think may happen is that it's going to make society ai is going to make society

00:17:33.200 so efficient and make people so good that we're going to have a high economic growth

00:17:38.520 but also high unemployment i don't know if we've ever seen a situation like that in society

00:17:44.400 where society is running so efficiently gdp gdp per capita people are making money there's

00:17:50.100 there's a dynamic growth in the economy boom and boom and boom and but also a significant

00:17:55.520 portion of the economy of the workforce doesn't have to work i don't know if we've ever seen

00:17:59.040 anything like that that may happen but you know what end up what may end up what might end up 1.00

00:18:04.520 happening and making what you want to come true pet i think there's a lot of women or in the 0.95

00:18:09.400 workplace that don't really want or need to be in the workplace but they kind of have to in order

00:18:15.220 to survive and i get that ladies i think the upside to this is going to say ladies if you want 1.00

00:18:21.040 only if you want you can quote unquote go back to the kitchen and i think a lot of women are going 0.87

00:18:26.820 to be like hold on so all i got to do is wake up every day make sure that my husband is ready to 1.00

00:18:32.720 go off to work, spend the day with my kids

00:18:34.700 or ship them off to school.

00:18:36.800 And then I get to be a good wife.

00:18:39.420 I think that's going to happen because

00:18:40.580 remember they said what jobs are going to be

00:18:42.720 lost? A lot of the jobs that are going

00:18:44.720 to be lost are a lot of the jobs that 1.00

00:18:46.660 women do in the workforce. 1.00

00:18:48.500 And that's going to force them to go back to the home. 1.00

00:18:50.880 So ladies, enjoy your new 1.00

00:18:52.860 feminism role being brothers. 1.00

00:18:54.680 Well, Pat, he brought up China. The first thing I 0.98

00:18:56.360 sent rather still, but I think I sent it to you guys

00:18:58.660 too in the chat. You brought up China and the

00:19:00.600 AI and the robots. Did you see what the robot did, Pat?

00:19:02.720 In China, there's some event happening, and this Chinese robot who's wearing a clown off.

00:19:06.680 I guess he's—look at that little kid with the pink shirt. 0.83

00:19:09.320 He's doing karate, then, look, he takes the kid in the stomach.

00:19:12.360 And, Pat, look, Pat, look at it.

00:19:13.640 Nobody cares.

00:19:14.520 No parent.

00:19:15.440 They're just pushing him to the side.

00:19:16.420 Look at the robot.

00:19:17.000 The robot's like, let me get the hell out of here.

00:19:18.460 You'll get what you deserve.

00:19:19.820 So guess what?

00:19:21.240 AI robot.

00:19:22.760 That's what I'm worried about.

00:19:24.200 Bro, that kid got just karate chopped.

00:19:27.460 It's titanium.

00:19:28.420 Titanium.

00:19:28.700 You're funny, Rob.

00:19:30.640 And nobody's helping the kid, Pat.

00:19:32.380 There's no recording.

00:19:33.420 Guys, did anything happen to the kid or he's okay?

00:19:35.720 No, they kicked the kid in the stomach, Pat, but this is the future.

00:19:38.780 Did that robot get arrested?

00:19:40.420 No, bad.

00:19:41.560 They just be facing time.

00:19:43.320 They update him and that's it.

00:19:44.620 They just do a little quick update. 0.69

00:19:45.440 There's people with fear of clowns.

00:19:47.040 This guy's not going to be fearing robot clowns the rest of his life.

00:19:49.840 Because the jobs and taking over jobs, it's going to be AI.

00:19:52.920 It's going to be robots doing all the jobs that people don't want to do.

00:19:55.760 Massive news from our friend here, Vinny.

00:19:58.760 Massive news that you guys have been waiting for.

00:20:00.480 Go ahead, Vinny.

00:20:01.060 Well, thank you, Pat.

00:20:01.820 The black, the hat that I'm wearing right now

00:20:03.820 I'm going to take it off, my hair's going to be messed up

00:20:05.060 Is the new Faith Over Fear, black and gold

00:20:07.820 We have our shield here

00:20:09.100 And I'm talking about gold stitching

00:20:11.000 Like not real gold 0.90

00:20:12.580 But look at how ridiculous that is 1.00

00:20:14.440 Gold in the back, snap back with the Hebrews 1.00

00:20:17.160 Our crosses on the inside 0.98

00:20:19.000 And I'm telling you guys right now, Pat

00:20:20.160 I wore this hat to breakfast with Humberto

00:20:24.380 And an older, late 80 years old 1.00

00:20:26.380 Her name was Amy, she grabs me 1.00

00:20:28.100 She's like, I want that hat

00:20:29.600 And I felt so bad because I couldn't give it

00:20:31.200 I got a pitch for the podcast

00:20:33.740 and Pat she went on the story

00:20:35.540 for 20 minutes, ask him, he's my witness

00:20:37.840 about cancer and beating it

00:20:40.200 and having faith in her

00:20:41.140 she was so calm Tom saying that

00:20:43.240 she's like even if I didn't I still have faith

00:20:45.340 that God would take care of me

00:20:46.580 it was an emotional, I forgot that we're even eating breakfast

00:20:49.480 but this I'm telling you besides just a hat

00:20:51.820 it's a conversation starter

00:20:53.840 it's letting people know I can't tell you how many times

00:20:55.700 in that same diner Pat I'm sitting there

00:20:57.580 at the counter and there's a congregation

00:20:59.440 people are telling their stories

00:21:00.700 so this hat is out right now people have been asking for it and the white and black just got

00:21:06.240 restocked we sold out on this hat in nine hours pat so everybody out there please i want to say

00:21:11.620 thank you number one number two go to vtmerch.com these i guarantee you this is going to be sold out

00:21:17.600 in two days get on vtmerch.com and get them because people message me on instagram and like

00:21:22.840 hey what why didn't you sick the hat's sick the sweater's sick the hoodie's sick the shirts

00:21:27.740 everything look at that and go to church on sunday with it represent if you enjoyed this video you

00:21:32.060 want to watch more videos like this click here and if you want to watch the entire podcast click here

Valuetainment - June 07, 2026

“Escaping Human Control” - Anthropic CEO WARNS AI Needs A GLOBAL FREEZE

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