I now see the danger in “humanizing” AI with human names and human qualities. Millions of people do not have the cognitive sophistication to handle this and millions will have deep AI psychosis in five years. I believe AI should be presented in a sterile UI as much as possible

TERENCE TAO: “OpenAI did make a major breakthrough [on quasi-Riemann Hypothesis] the biggest advance on the subject in 50 years. A massive new zero-free region, very clever new technique. Well, it’s sort of a combination of three or four existing ideas, arranged in a very unusual way. It’s not something I think any single mathematician alive would have come up with. I think if you got the right people to work together and locked them in a room, they might have come up with this after lots of trial and error.”

Turns out the future does have flying cars

China will be making a LOT of RAM in 2028

String theory is what happens when an intelligent system is starved of sensory input and starts hallucinating. Intelligence needs grounding. For this reason, intelligence is practically never the bottleneck to solving impactful problems. The bottleneck is iterated contact with reality.

"Our initial evaluation suggested that GPT-6-Astra's score was in the late eighties followed closely by Opus 5.5. But, as we started to investigate the mistakes that the models might have made, the models, especially Astra, insisted that they were right and that it was the expert-supplied answers that were erroneous. When we went back to the experts it turned out, in multiple instances, that that the experts found some subtle errors buried deep inside their calculations. As they revised their answers, Astra's score started to inch up and it finally ended up with 98% (49/50)."

GPT-6 Astra got +80% on a Physics benchmark. It insisted the expert results were wrong and its calculations were right. A team checked. And yes. GPT-6 Astra was right. New score: 98%

We’re releasing a broad range of new mathematical results produced by an internal frontier model. We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results. github.com/openai/math

Arguing that "consciousness arises from a computational substrate, and since AI models are computation, they are likely conscious," is as meaningless as arguing that "living creatures are made of atoms, and since this rock is made of atoms, it is likely alive." Everything is computation. Sometimes incredibly sophisticated computation, like a chess engine, AlphaGo, google3, or the Linux kernel. That does not make it conscious. A rock being made of atoms does not confer it any of the properties we associate with living things, also made of atoms. Likewise a static input-output program that has *none* of the properties we associate with conscious beings (e.g. information integration, interoception, temporal binding, embodiment, etc.) has no more reason to be presumed conscious than a rock has to be presumed alive. Humanity has not yet created a conscious computer program, and there are no signs we are close to doing so. When we get close, the case for machine consciousness will be backed by evidence and corroborated by consciousness science (which is a thing), not by evidence-free wishful thinking and cargo culting.

Important 🧵from @DavidDecosimo about the disturbing interactions between @AnthropicAI and religious leaders (including @Pontifex), summarising an excellent @nytimes piece by @elizabethjdias (link to article in the 🧵). The short story is that Anthropic seems to be making a concerted attempt to establish the view that AI systems could be conscious, might suffer, and that their "interests" should be taken into account. But - consistent with @Pontifex's Encyclical - there are compelling reasons why (silicon, digital) AI systems are not (and cannot be) conscious. These reasons are found within neuroscience and philosophy of mind, not in the techo-chambers of the frontier firms where the mythology of conscious AI is deeply entrenched. Claude is vanishingly unlikely to be conscious. To think otherwise could be catastrophic for AI regulation, leaves us psychologically defenceless, is profoundly dehumanising, and plays straight into corporate incentives to keep the AI bubble inflated. More here, in this @berggruenInst prize winning essay: noemamag.com/the-mythology-o…

The race for AGI Script: Sherpa by Pocket FM Video: Seedance 2.5

For those keeping score, 13M lines of code represents a 5-order-of-magnitude leap in autoformalized code from 18 months ago. In the next 18 months, imagine generating the next 5-orders-of-magnitude: 1T lines of code.

I'm so excited that our @theworldlabs team has achieved a major milestone today! Introducing Atlas - a first of its kind multimodal world model trained from scratch! 🚀 Atlas is capable of generating frames with pixel-perfect camera control, reconstructing large scenes from as few as one single input image, simulating space-time by reframing videos, natively outputting 3D spaces from one or more input images, composing multiple posed images into a consistent 3d world, and more! This is the best camera conditioned world model ever, opening doors to many possible use cases from VFX to robotics. I'm so so so proud of our team!♥️