0:00 OpenAI just claimed an AI solved more than one hundred of the world's hardest math problems.0:05 In twenty-four days.0:06 That includes one of the seven Millennium Prize Problems, which has resisted a solution for nearly ninety years.0:13 The announcement landed on September twenty-first.0:16 The proof did not.0:17 This is just the biggest headline in a week that has fundamentally changed the AI landscape.0:23 In episode 22, we talked about Anthropic going after Microsoft and Google with its new Docs and Slides.0:29 That was about AI assistants in office software.0:32 A big deal.0:33 But this week, the ambition got bigger.0:35 Waaay bigger.0:36 First, let's talk about the price war that just went nuclear.0:39 On September twenty-second, both OpenAI and Anthropic dropped new models and slashed prices.0:45 OpenAI launched GPT-6 Sol and Luna with cheaper API access, crediting better caching and inference.0:51 Not to be outdone, Anthropic released Claude Opus 5.5.0:54 It performs at the level of their top-tier Fable 5.1 model, but it costs you FORTY percent less to run.1:01 The message is clear: the cost of top-tier intelligence is in freefall.1:05 They’re passing savings on, because they have to.1:08 The race to zero has begun.1:09 But the real story isn't the price.1:12 It's the capability.1:13 While OpenAI was tackling pure math, Anthropic's Claude AI was busy in the biolab.1:18 It autonomously discovered a previously unknown CRISPR-like enzyme system.1:22 They're calling it ART.1:24 This wasn't a human-guided search.1:26 This was Claude, running nearly a thousand parallel agents, sifting through two hundred thousand genetic sequences and finding a pattern nobody had ever seen.1:35 CEO Dario Amodei said it himself: "The work was done mostly, though not entirely, by Claude." So you have two monumental breakthroughs announced days apart.1:45 One in pure mathematics, one in biology.1:47 And a brutal price war underneath it all.1:50 Okay, let's break down these two discoveries, because they represent two very different philosophies.1:56 And one of them is much more credible than the other.1:59 First, OpenAI.2:00 The claim is breathtaking.2:01 Solving the Navier-Stokes existence and smoothness problem would be a Nobel-level achievement for a human.2:08 For an AI to do it suggests a leap from pattern-matching to genuine abstract reasoning.2:13 They say the model began training on August twenty-eighth and had solved over a hundred problems by September twenty-first.2:20 That’s the story.2:21 Here’s the problem.2:23 There's no proof.2:24 No paper.2:24 No validation.2:25 It's a press release about a world-changing discovery, with the actual discovery kept behind closed doors.2:31 The skepticism from the mathematics community is deafening.2:35 So what did OpenAI do?2:36 They announced a nine-member advisory group hosted at Princeton's Institute for Advanced Study.2:42 This looks like an attempt at independent oversight.2:45 But here's the catch: the group has no power to slow or redirect the research.2:50 It's a review board that can't stop the train.2:53 It's for credibility.2:54 It’s PR to manage a claim so big they knew nobody would believe it on faith.2:59 Now, contrast that with Anthropic.3:01 They also announced a major discovery: the ART enzyme system.3:04 But they approached it completely differently.3:07 They didn't just announce it; they explained the process.3:11 This is the real innovation.3:12 They built a workflow where AI agents generate hypotheses at scale, human scientists then test those specific hypotheses in a wet lab, and the results — success or failure — are fed back into the model.3:25 It's an autonomous discovery engine with a human in the loop for verification.3:29 So while OpenAI is making an extraordinary claim and asking you to trust them, Anthropic is demonstrating a repeatable, verifiable process for scientific discovery.3:39 One is a black box that produced an alleged miracle.3:42 The other is a glass box showing a new way to do science.3:46 This is the template.3:47 This is the future of R&D.3:49 It's not just about asking an AI a question.3:51 It's about deploying hundreds of them as a research team, working tirelessly, generating ideas for human partners to validate.3:59 So what matters today that didn't matter last week?4:02 The competition is no longer just about who has the better chatbot or the cheaper API.4:07 That's the old game.4:09 The new game is about who can build an AI that makes verifiable, novel discoveries in the physical and abstract worlds.4:16 It's a race for a new kind of intelligence.4:18 One company made a spectacular claim without evidence.4:22 The other revealed a working system that is already producing results.4:26 One is a headline.4:27 The other is a revolution.
