Valuetainment - June 11, 2026


“More Powerful Than Humans” – Anthropic’s Fable 5 REVOLUTIONIZES AI


Episode Stats


Length

12 minutes

Words per minute

207.77

Word count

2,596

Sentence count

172

Harmful content

Misogyny

2

sentences flagged


Summary

Summaries generated with gmurro/bart-large-finetuned-filtered-spotify-podcast-summ .

Transcript

Transcript generated with Whisper (turbo).
Misogyny classifications generated with MilaNLProc/bert-base-uncased-ear-misogyny .
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00:00:30.260 Anthropic releases, My Thoughts Like AI, modeled to the public two months after private rollout rocked Wall Street.
00:00:38.160 Is this it, Rob?
00:00:39.220 It's just a promo video they released.
00:00:40.880 Go for it. Let's watch the promo video. Go ahead.
00:00:45.200 This is Fable 5?
00:00:47.120 Yep.
00:00:51.680 That's their promo video?
00:00:55.200 Come on, man. I want to see more than that.
00:00:57.600 Don't tease me with something like this.
00:01:00.000 Two months after Anthropic rolled out Mythos to a limited number of users, citing concerns about the artificial intelligence model potential to do damage in the wrong hands,
00:01:09.680 the company said it is ready to release an equally powerful model to the public.
00:01:14.060 Anthropic announced Claude Fable 5, a Mythos-class model that will be available to enterprise customers and paid subscribers.
00:01:20.940 The company said the broader release is possible because of the new safeguard that block responses on specific high-risk areas, including cybersecurity and biology.
00:01:31.760 Tom, why is this such a big deal, Fable 5?
00:01:33.860 So I think what's happening is two things.
00:01:38.840 One is they had to put a bunch of guardrails around it because when they released certain things, they did a private release and they did a public release.
00:01:48.000 And in the private lease, they talked about safety.
00:01:50.740 They talked about some guardrails they were going to put around it.
00:01:53.660 But they seemed to be chasing anthropic.
00:01:56.000 People were like, well, you seem to be chasing.
00:01:57.780 And most people that have looked at it, I kept seeing this phrase called step change.
00:02:04.120 What a step change is is when you're like you get like a big software upgrade on your Apple phone.
00:02:09.560 You just went from 26.1 to 26.3.
00:02:13.260 That's a step change.
00:02:14.660 And I heard a lot of people talking about that this was a step change, not like a big product release.
00:02:22.940 And there also is discussion about, oh, does this get us closer to AGI and whatnot?
00:02:29.120 I think it's important for open AI to get it right, but it doesn't appear to me that this is – there's been leapfrogging going on.
00:02:38.760 You know, Opus 4.6, GPT 5.5, Opus 4.7, Opus 4.8.
00:02:44.360 everybody's been jumping each other with that this i'm not hearing people saying oh my gosh
00:02:50.540 this is the new king okay gpt where's 5.6 where are you going or do you have another one do you
00:02:58.080 see what i mean pat it's more of a step change than it was like a cataclysmic jump and what's
00:03:04.000 a big deal is the people that like open ai and are supporting open ai and talking about gpt they
00:03:10.640 They need it, all those proponents, they need it to be big because that's the jersey they're wearing.
00:03:16.480 Pomp.
00:03:17.200 So I'm going to use two direct examples.
00:03:19.240 I saw a guy, Todd Saunders, and he tweeted the following.
00:03:21.880 He said, this is unbelievable.
00:03:23.840 I was on a customer call today, and I had Claude transcribing in the background.
00:03:28.040 As the customer was telling me about the features they wish their current software had, Claude was building the features in real time.
00:03:34.520 By the end of the call, I was able to show a fully working product with the exact workflow they mentioned 15 minutes earlier.
00:03:41.300 Autonomous looped building triggered from a customer call.
00:03:43.920 This tweet right here?
00:03:44.480 This one right here.
00:03:45.320 Show the video, Rob.
00:03:46.080 So just think about how crazy this is, what this guy's saying.
00:03:48.500 He's saying he's on a call with a customer.
00:03:50.180 While he's on the call with a customer, the system is listening to what the customer is saying the pain point is.
00:03:54.980 And it is building a solution in real time.
00:03:57.400 Before the call is over, now Todd says, hey, I got your solution for you.
00:04:01.220 What do you think?
00:04:02.660 You're telling me this stuff's not valuable?
00:04:04.520 I mean, this is crazy, right?
00:04:08.500 So this is anthropic.
00:04:09.840 This is anthropic model.
00:04:11.000 Now, could other models do some version of this?
00:04:13.600 Sure.
00:04:13.800 But I think that what a lot of folks already are talking about is Fable.
00:04:16.860 Now, the second example I'm going to use is Sylvia.
00:04:18.360 So for those that don't know, Sylvia is an AI CFO that we've built.
00:04:21.580 We've got thousands of multimillionaires that are on this thing.
00:04:24.220 And what we see using this product is when we upgrade the model, people start asking more questions.
00:04:29.800 Now, what I think is most interesting about this is when you come in here, you are attaching your bank account, your brokerage, your crypto account, your credit cards, real estate, cars, collectibles, et cetera.
00:04:38.600 And then you are talking to a model with the context of your personal portfolio.
00:04:42.500 So if you go to Fable or you go to ChatGPT and you say, hey, listen, help me get my tax rate down, it doesn't know anything about your finances.
00:04:49.800 But when you combine the power of these AI models with the persistent context of your portfolio, it becomes really powerful.
00:04:56.140 So we've actually seen people go from asking six questions a week to now more than 15 questions per week.
00:05:01.520 Why is that interesting?
00:05:03.000 Who asks their financial advisor, their accountant, their lawyer, et cetera, 15 questions a year?
00:05:08.440 These people are asking 15 questions a week.
00:05:10.020 Now, the reason why I find that very interesting is guess what happens?
00:05:12.760 If people are doubling the number of questions they're asking on Sylvia,
00:05:16.140 we are using both proprietary technology plus we are using some of the models.
00:05:20.800 Every time someone asks a question, it costs money.
00:05:23.500 Why is Anthropics revenue exploding?
00:05:25.780 Because people are on Sylvia asking two times more questions.
00:05:29.360 And no matter how much we work to get the cost and the efficiency of token consumption, et cetera, down, people want intelligence.
00:05:35.880 And so what I go back to is whether it's Todd, whether it's Sylvia, what is the thing that people have run around the world for years now trying to do?
00:05:43.920 They're trying to find the smartest people to come work for their business.
00:05:46.720 They're smart people to help them with their finances, the smartest people to help them with their health, with whatever the thing is that they've got going on.
00:05:51.700 They want intelligence.
00:05:52.520 We now have synthetic intelligence that is more powerful than anyone else.
00:05:57.760 And I saw somebody recently show the model, Fable 5, gets paid more than most people in America.
00:06:04.260 So think about that, right?
00:06:05.360 The average hourly wage in America, I don't know, what do you think, $15 an hour, right, maybe?
00:06:11.580 Maybe lower, right?
00:06:13.660 You're paying $40-ish per hour to Fable 5 when you use it.
00:06:18.460 So the model now makes more money than the human does on a per hour basis.
00:06:21.960 You're paying Fable 5 $40 an hour to use it instead of $50 an hour.
00:06:25.800 An equivalent cost of tokens.
00:06:27.380 Totally get it.
00:06:27.900 So it's $80,000 a year's salary.
00:06:29.940 So think about that, right?
00:06:31.500 If I'm sitting there and I can get superhuman intelligence,
00:06:36.120 but I only have to pay $80,000 a year if it was running with the normal token consumption,
00:06:41.500 what business isn't like I can get the smartest person in the world to come work at my business
00:06:45.240 and I only got to pay $80,000 a year compared to white-collar work
00:06:49.000 that they're used to paying $150,000, $200,000 for these people.
00:06:52.640 So this is where all of a sudden you start to get this very unique kind of dynamic
00:06:56.900 in a business where people are saying, okay, well, if it works in my business,
00:07:00.980 now go back to the finance thing.
00:07:03.440 Financial advisor, an accountant, tax, in my health, my doctor,
00:07:07.920 my physical fitness coach, whatever.
00:07:10.300 I have somebody who is smarter now that I can simply pay.
00:07:14.140 Of course these companies are going to get tons of adoption
00:07:16.520 and they're going to get tons of revenue because they're selling the thing
00:07:19.220 that everyone in the world wants, which is intelligence.
00:07:21.760 Yeah, and so there's a lot of disruption coming to a lot of different industries.
00:07:25.860 Of course, financial service is going to be very interesting
00:07:27.860 because how many times can an advisor get back to 200 clients
00:07:33.160 at the speed that the client wants them to get back?
00:07:35.700 Can they do it faster than an AI would?
00:07:38.700 No, you can't compete at that pace.
00:07:40.000 And they're getting those calls in the middle of a market moment.
00:07:43.700 Those calls are coming concurrent.
00:07:45.120 and everyone reacting to the same thing.
00:07:47.200 Oil went way down.
00:07:48.120 Trump made a comment.
00:07:48.900 What do I do?
00:07:49.640 Your phone's lighting up.
00:07:51.060 You can't answer them all at once.
00:07:52.540 Here's the thing that I've come to the conclusion of.
00:07:54.120 So we've been building this Sylvia thing now
00:07:55.460 for over a year, right? 0.60
00:07:56.600 Got thousands of multimillionaires on here.
00:07:58.240 The number one conclusion that I have,
00:08:01.060 when you have a child and you want them to learn,
00:08:02.940 what does everyone tell you to do?
00:08:04.220 The single best way for a child to learn
00:08:05.640 is to have one-on-one tutoring.
00:08:07.220 We've known this for centuries now.
00:08:08.980 It is very hard to do.
00:08:09.860 It's very expensive.
00:08:10.640 And so what do we do inside of our public school system?
00:08:12.400 We try to get the teacher-to-student ratio
00:08:13.880 as low as possible.
00:08:14.700 We want the smallest number of students per teacher, and that's going to get the best outcome.
00:08:18.780 Okay.
00:08:19.600 Private tutoring works.
00:08:20.820 That's why people do it for certain things.
00:08:22.660 In health care, what would be the number one way to stay healthy?
00:08:24.960 You would have one-on-one with a doctor, and you get these kind of private health care.
00:08:28.760 And concierge health care is blowing up over the last 10 years with the wealthy.
00:08:33.060 So what happens in finance?
00:08:34.680 Well, if you go to a financial advisor, most of them are doing the best job that they can, but they have 110 clients.
00:08:39.980 And so when you're calling and you're saying, what do I do?
00:08:42.140 They got a model portfolio that came down from the home office, right?
00:08:45.020 Maybe they go and they look in your portfolio, but they don't have time to go and customize every single thing for every single client.
00:08:50.140 When you use AI, now you get personalized insights to every single question that you have based on your personal portfolio, the current events, et cetera.
00:08:58.380 And so what we see is that people who regularly use Sylvia, they have grown on average their net worth between 16% and 40% over the last six months.
00:09:06.240 So they're outperforming the market, and people are like, oh, that's amazing.
00:09:09.240 Well, it makes sense because these people are naturally, they're inclined, they're measuring their wealth, they're paying attention, they're asking questions, they're involved, but also they have personalized one-on-one answers.
00:09:19.020 With somebody.
00:09:19.760 Of course.
00:09:20.000 Which is powerful.
00:09:20.780 Brandon.
00:09:21.740 Yeah, I mean, this is going to cause a lot of people to be displaced, but also cause an economic boom.
00:09:28.540 I mean, like the hockey stick growth that it could cause.
00:09:30.760 I mean, the paper I put out the other day with when AI writes itself, it says that 80% of Claude's code has been written by AI this past year, up from 20% last year.
00:09:40.240 So, like, you know, the exponential compound effect of that, I mean, it's starting to be like things that we can't even imagine are being created.
00:09:46.420 Like, you know, in 2022, we couldn't imagine what ChatGPT could do.
00:09:50.000 And then that comes out, blows our mind.
00:09:51.360 Then, you know, we just show with them the diagnostic for the customer on the call being diagnosed right away.
00:09:57.240 So we couldn't have imagined that, you know, a couple months ago.
00:10:00.160 So what's it going to look like in a year or two from now?
00:10:02.220 Like what could be replaced?
00:10:03.300 Like what's susceptible to being replaced and being done at a higher level than humans?
00:10:06.320 So it's going to be a weird thing where it's radical economic growth, but also radical job displacement.
00:10:12.460 So that's probably why people at the highest levels are talking about this universal basic income or giving AI equity to the citizens.
00:10:19.680 It could be like a giant wealth gap separation type of event.
00:10:23.600 Yeah, the gap's going to get wider and wider in ways we've never seen before.
00:10:27.400 38% of you guys are business owners.
00:10:29.340 If you're a business owner, this is by far the worst season to go through it by yourself.
00:10:33.620 So Vault Conference, if you haven't yet registered, Rob, you may want to play this clip.
00:10:38.480 Every one of us is one relationship away from taking our lives and our business to the next level.
00:10:43.380 I want you to hear this story about what a friend of Elon Musk ended up doing just because of becoming friends with him.
00:10:48.180 Go ahead, Rob.
00:10:49.160 Have you heard about Elon Musk's friend named Antonio Gracios, who allegedly they made in the mid-90s networking.
00:10:53.940 They became friends, and he lent Elon a million dollars, which somehow, someway ends up owning 7.3% of SpaceX.
00:11:01.440 That million dollars today, according to Entrepreneur Magazine, could be worth between $100 billion to $150 billion,
00:11:08.340 making them top 50 richest men in the world.
00:11:10.800 So how did this happen?
00:11:11.900 Every one of us, if you're watching this, you are one contact, one relationship away from changing your business, changing your life.
00:11:18.000 How do you do it?
00:11:18.920 You've got to put yourself out there.
00:11:20.120 If you're not, the way I did it is by going to four to ten business conferences every year.
00:11:24.360 Once a year, we host an event called the Vol Conference.
00:11:26.920 This year, we're doing it at the MGM Grand Arena, August 31st to September 3rd.
00:11:31.200 12,000 people will be attending this event if you haven't yet registered.
00:11:36.020 Your Antonio may be at that event.
00:11:38.140 Click on the link above or below.
00:11:39.460 Get registered.
00:11:40.060 We'll see you there.
00:11:41.180 Again, bring your business partners.
00:11:43.000 A lot of people are bringing their employees.
00:11:44.540 Every year, they're bringing somebody new.
00:11:46.220 If anybody that comes in, they typically bring back 5, 10, 15 people the next year with them.
00:11:50.300 I think one of the companies from France, if I'm not mistaken, is bringing 500 people to the event, to the Vol Conference.
00:11:56.920 But Logan Paul will be there to talk about how to create content and get noisy at a time like this.
00:12:01.020 He's always in the marketplace talking about it.
00:12:02.920 I know he's got a torn triceps.
00:12:04.240 But even that makes it in the news.
00:12:05.580 Stephen Bartlett, fastest-grown podcast in the world from Diary Review's CEO.
00:12:09.160 He'll be there.
00:12:10.120 Jerry Rice and Joe Montana will be sitting down with me to talk about how to find running mates.
00:12:13.980 and last but not least Dan Martel
00:12:16.220 the great Dan Martel will talk about how to use
00:12:18.280 AI multiple 8 figure exits
00:12:19.680 author of buy back your time
00:12:22.480 they will be at the conference as well
00:12:24.100 if you enjoyed this video you want to watch more videos like this
00:12:26.380 click here and if you want to watch the entire podcast
00:12:28.840 click here