Anthropic was so mad about people distilling Fable that they decided to do it themselves with Opus 5.5

We need a name for the phenomenon that when a smarter/better model comes out, even the most beloved until-recently-SOTA models feel aggressively stupid. GPT 6 Astra was like the holy grail for all of two weeks but now it feels like talking to a caveman with dementia compared to Opus 5.5.

🚨 Chinese scientists just detected an unexplained 71-terahertz vibration inside mitochondria — the microscopic "powerhouses" of living cells. The work was published by researchers at the University of Shanghai for Science and Technology. The signal, which oscillates 71 trillion times per second, was detected in living human cells and mouse tissues but vanished completely once the cellular structures were dried or disrupted. This dependency on structural integrity led the scientific team to propose that mitochondria may utilize a quantum hybrid state, known as a polariton, created by light-matter coupling inside their highly folded inner membranes to optimize how they function. To test this theory, the scientists stimulated human cell cultures with weak infrared light tuned to specific frequencies associated with this quantum state. The experiment yielded a stunning 10 percent jump in the production of adenosine triphosphate (ATP), the vital molecule that fuels almost every biological function in our bodies. While the study was published as a bioRxiv preprint and is still awaiting peer review, it represents a monumental leap for quantum biology. If verified, the ability to manipulate these quantum channels could pave the way for revolutionary treatments targeting metabolic diseases, aging, and chronic genetic conditions. source: Song, B., et al. (2026). A quantum state of mitochondria in the living cell. bioRxiv.

We are aware that codex is down and are working hard to bring back normal service.

Did @ChatGPT codex die for anyone else with error 'unexpected status 401 Unauthorized: Incorrect API key provided:'?

I made this with one prompt using Opus 5.5 I spoke to my computer for 5mins, claude worked for 12 hours, and I woke up to this full prompt:

Opus 5.5 is the best "vision" model Anthropic ever made better than Fable 5, better than GPT-6 Sol, worse than GPT-6 Astra vs Fable 5.1 (high): - estimated cost: ↓ 60% - detection: ↑ 11.84 pp - reasoning: ↑ 12.80 pp vs GPT-6 Sol (high): - extraction: ↑ 11.00 pp - reasoning: ↑ 7.95 pp ↓ 16 more examples

On robotics tasks, GPT-6 Sol scores 1.6x as high as GPT-5.6 Sol and is 47% cheaper, but sits below the Pareto frontier under Opus 5.5.

Dictator kylian mbappé please calm down 🙆🤦😂

How Does Physical #AI Change Embedded System Design? buff.ly/qMsW7JC @ElectronicDesgn #DigitalTransformation Cc @DeepLearn007 @GeoffAlexander1 @ahier @jblefevre60

New on the Science Blog: Yes, Claude can do Nine Loops. Theoretical physicists predict how particles behave using formulas called scattering amplitudes. These are notoriously hard to compute, so researchers work with layers of increasingly fine corrections called “loops”—each added loop makes the answer more precise but takes exponentially more computation. Most calculations stop at two or three loops. Eight loops was the previous record in a simplified model physicists use as a testing ground (planar N=4 super-Yang-Mills), set by SLAC's Lance Dixon and collaborators. Last month, physicist and science writer @4gravitons issued a challenge: could an AI push past eight loops in this model, using only the compute budget an academic could reasonably access? Given a single prompt describing the nine-loop problem, Claude ran largely unsupervised for days in Claude Science and solved it using methods developed by Dixon and his colleagues, at a total cost of a few thousand dollars. Dixon independently verified the result, and von Hippel wrote about the experience for our blog. Read more: anthropic.com/research/yes-c…

Damn, im in love with Opus 5.5. Its the best model ive ever used, has such a good taste, is comparatively quickly, smart and finally precise instead of verbose. As good as Opus 5.5 is, I'm incredibly excited for Fable 5.5. After switching completely to Codex, I now have to go back to Anthropic. oh and btw. its crazy how fast the vibe has changed. Now all I read on X are posts about how great Opus tastes and how OpenAI absolutely has to catch up. One day that changed everything.

Japanese scientists removed the extra chromosome that causes Down syndrome for the first time using CRISPR.

Guys you realize this is a good thing, right? They will Not eradicate the children with down syndrome. The gonna remove the syndrome from the Children. The Children will still be born but healthy. Down Syndrome is so much more than only a cute personality pls inform yourself

Incredible progress in AI IQ development over the past 3 years. Now hitting 151 highest possible score for Norwegian Mensa test.

It's insane how much better the $200 Claude Code plan is compared to Codex right now. Just a few weeks ago, it was the other way around. Excited to see how OpenAI fights back.

Total investment in data centers and related AI infrastructure is projected to total $10.3 trillion from 2025 to 2032, or 3.6% of GDP per year, according to new estimates. That would dwarf other huge U.S. infrastructure projects such as the railroads, the highway system and the plumbing for the internet.

Claude Opus 5.5 writes a fugue in the style of Bach. I called Astra’s fugue the most impressive musical feat I’d ever seen from an LLM, and this is just as good. The circle-of-fifths sequence beginning at 1:13 is beautiful. The interplay of voices is natural and satisfying. LLMs are getting to the point where their music is good enough to listen to for pure enjoyment.

The claim that "LLMs cannot think" is unscientific, unless supported by a very difficult argument about non equivalence of causal structure producing anthropomorphic outputs. The claim requires a formally rigorous definition of thinking that captures how humans mentally manipulate conceptual structure. Since LLMs can reproduce all kinds of human output that require operations that are typically considered to involve thought (eg. scene understanding, text summarization, translation, computer programs, mathematical proofs, common sense arguments, spatial cognition, theory of mind), it has to be shown that LLMs reach these results in fundamentally different ways than human minds. In principle, this is not impossible (given that thinking is still relatively poorly understood by cognitive neuroscience), but would be surprising, because it has been shown that the causal structure of computer vision models is structurally equivalent to what neuroscience discovered about visual cognition in primates. In any case, saying that LLMs don't think cannot reasonably mean that LLMs are inferior to human cognition (since that this evidently not true), but that LLMs discovered an equivalent yet at least equally powerful mechanism.

opus 5.5 is the new sota 😔