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This is how Fable 5.2 would beat ADHD

my vocal synth models the vocal tract as a network of branching acoustic tubes, unlike vocaloid which stitches together and pitch-shifts phoneme recordings. still working on improving naturalness by tuning it against recordings of real singers, but I'm already impressed at how cool it sounds!

Let me briefly sum up where we are with AI. Everyone can feel it and everyone can see it. I believe 2026 is the turning point. We see major advances every day, but with all the excitement about the latest benchmarks, it’s easy to lose sight of the bigger picture. Anthropic has just released Claude Fable 5.2, its latest flagship model. It’s outstanding. Anyone who has tested it knows how good it is, and in its blog posts, Anthropic has also highlighted advances beyond coding: new findings in physics and hardware design, as well as a method for predicting viral protein structures developed with Mythos 5.2. Fable 5.2 even built an operating system prototype by coordinating more than 1,000 subagents over eight days. At the same time, Anthropic acknowledged in its system card that it has a separate, unreleased research model that is somewhat more capable than Mythos 5.2. This could be “Model 4,” although that connection has not been confirmed. Meanwhile, the competition isn’t slowing down. Google has caught up in a big way, and Gemini 4 Carbon is outstanding. Google also says it is using its own models for research and making new discoveries. Rumors suggest that a successor called Krypton is already being tested, though its capabilities remain unconfirmed. Today, the authors of AI 2027 updated their prediction. The AI Futures Project now forecasts that AI capable of doing the work of a team of top human AI researchers will likely arrive in 2027, absent a major slowdown. They estimate that AI-driven acceleration of AI research is already five months ahead of their original scenario. And we shouldn’t forget what AI systems have already achieved in mathematics. OpenAI says an internal system produced a solution to the Navier–Stokes Millennium Prize Problem. And this model is already outdated, as OpenAI said in their blogpost. What I’m trying to say is this: I regularly say that the takeoff began in 2026 and that 2027 will be a crazy year. Perhaps the craziest year in human history. But when we look back on this year, I think it will become clear just how crazy 2026 already was. I’ve devoted myself to AI since GPT-3.5, and I now work full-time to make this technological revolution tangible. Just a few years ago, LLMs like GPT-4 seemed like stochastic parrots. They hallucinated and, compared with today’s models, felt like trivial machines. Of course, they were never actually trivial. But looking back, the pace of development since o1 in late 2024 has kept increasing, and now the sudden explosion in capabilities feels tangible. So enjoy these last months of relative calm. I believe 2027 will be the year of superintelligence. And nothing will be the same again.

While we’re all focused on Claude Fable 5.2’s coding abilities, its work in science and engineering has received far less attention. Anthropic has made insane steps and solved crazy hard problems that many missed: - Hardware: Fable 5.2 designed three electronic devices from short prompts, including their circuit boards, enclosures and software. Partner Diode built them, and all three worked without changes to their circuitry. - Gene therapy research: Mythos 5.2 developed a method to model the complex protein shells of viruses used to deliver gene therapies. In Anthropic’s test, it accurately modeled 28 out of 34. - Chemistry: An early version of Mythos 5.2 planned ways to synthesize complex molecules. Three chemists rated the work around the level of an early PhD student. - Physics: Anthropic says Fable 5.2 solved two open theoretical physics problems involving black holes. The results have been published as preprints. - Materials science: Discovered Materials says Fable 5.2 made a calculation used to check material stability 36 times faster on average. Across 13 test cases, the total time fell from 3.3 hours to under four minutes. - Robotics: In Anthropic’s simulated RoboDojo test, Fable 5.2 achieved a 64.9% average success rate, up from 27.6% for Fable 5.1. So yeah, this is nuts. And at the same time thats why we need to accelerate. AI helps us solve problems in *ever* scientific field. And yet, we are still in 2026, and this is still the beginning. Fable 5.2 shows us where we are heading. And 2027 is going to nuts.

"This trajectory, if continued, means a world-changing intelligence explosion in 2027, so the public needs to know." Every chart right now is a screaming red alert.

If there is one thing the AI revolution has taught me, it’s that 99% of people cannot extrapolate. At all. Quite literally people cannot imagine or visualize progress or changes beyond the current state. Complete inability to predict the future.

Fable 5.2 is the best model on the planet. I used 100+ billion tokens testing it. Here's my full breakdown:

Melbourne cosmetics entrepreneur Briony Kennedy has faced bankruptcy after her $6 million sustainable skincare company Adorn Cosmetics collapsed following a failed website migration to Adobe's e-commerce platform. Adobe has declined to comment on the case for legal reasons.

When Demis Hassabis talks about curing all diseases within 10 years, @dawallach says scientists who have spent decades studying these problems aren't necessarily buying it. "When [scientists] hear AI people say smart things, they go, 'Cool, yeah, let's run it.' Everyone respects Demis." "But when Demis says we're gonna cure all diseases in 10 years, I think people who have two PhDs and have been doing this for 40 years go, 'Come on, man.'" "You're giving a sort of false hope to a lot of people who are legitimately out there suffering or have a loved one who's on death's doorstep. That's a little messed up."

AI 2027 is now officially 85% accurate so far, with almost all of its late-2026 predictions being correct (the only one remaining is a 10,000-person anti-AI protest in DC). The capabilities trend line has been extremely accurate. In fact, we're ahead of schedule.

Now would be the best time for any AI startup to release something. Everyone is eagerly awaiting the next big release, yet the frontier labs are holding back. Right now, any release would receive far more attention than usual.

The AI 2027 tracker was updated today. And according to the tracker’s estimates, based on AECI scores from METR’s report on Anthropic’s internal models, some of those models are even ahead of the AI 2027 curve.

i believe we now live in an agentocracy Agentocracy (n.): A society in which individual agency, defined as the capacity to take initiative, act independently, and shape outcomes, is the primary determinant of merit and status.

I've been in tech for 46 years. The biggest change AI brings isn't speed. It's that a regular person with an idea can finally build it without asking anyone for permission.