#Trend

AIJoshua Achiam posted that within five years we may know whether faster-than-light travel is possible. The post gives no details on how that determination would be made, and the quoted context concerns AI progress on grade-school math benchmarks.

AIOpenAI CEO Sam Altman thanked the many people who did the technical work over generations that made the current advances possible. The post gives no specific model, product, or figure.

AIJerry Liu says that, these days, you can literally do anything just by asking for it. The post is a short, informal remark with no specific product, model, or figures mentioned.

AIAmjad Masad says AI-powered reverse engineering and decompilation are progressing rapidly, and predicts that soon all software will be de facto open-source. He frames this as part of AI's broader reach into everything.

AIOpenAI says it is releasing a broad range of new mathematical results produced by an internal frontier model. The company says it consulted the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study on how to release them. The results are linked from a GitHub repository at

AILewis Tunstall says candidate theories for unifying physics already exist, so the real challenge is experimentally discriminating among them. He considers an AI-driven breakthrough in fundamental physics extremely unlikely, though he would welcome being proven wrong.

AIAndrew Curran argues that the approach generalizes to everything and continues to scale. The post builds on Christian Szegedy's claim that mathematical reasoning will transfer to other complex, reasoning-heavy domains, filling data gaps with high sample efficiency.

AIJoshua Achiam posted that humanity is approaching the end of ignorance if it chooses to pursue that goal. The post is a brief, forward-looking remark that responds to a question about whether a unified field theory or quantum gravity might arrive within 12 months.

AIEthan Mollick argues that AI is likely to bring two revolutions after a brief period of low-quality "slop" science that eroded institutions. The first is that all previously published work will be re-read and re-judged in ways human scientists never anticipated. The second is that novel discoveries will start arriving quickly.

AIOpenAI is releasing a broad range of new mathematical results produced by an internal frontier model, developed with advice from the Institute for Advanced Study's Advisory Group on Mathematics and Artificial Intelligence. The results are published at The main post frames the release as aimed at accelerating scientific discovery and improving quality of life for everyone.

AIMike Knoop argues AI can now automate conceptual search, transformation, and verification toward new science. He says AI can tell whether an open problem needs new ideas or whether the answer is already latent in existing knowledge. He calls this the most significant change in the philosophy of science since writing was invented about 6,000 years ago.

AIPaige Bailey's post says only "slowly, slowly, then all at once," with no model names, figures, or specific claims. It quotes Will DePue, who says he asked GPT 6 Pro and Fable 5.1 to rank discoveries from the last three years and reports that 81% of them were released today.

AIroon argues people should not be passive spectators at a magic show of machine intelligence, but should engage with AI outputs to satisfy their own curiosity. The post stresses that this is all real and meant to be understood by humans.

AIWill Depue, an OpenAI-affiliated account, warns that people have only two years to escape the "citation underclass." He points readers to citedbyagi.com, a site he built, with a leaderboard of citations from OpenAI's /math release.

AIOpenAI has published a post on sharing its AI progress in mathematics, which Sam Altman says marks the start of a new era of discovery. The post text provides no further details on specific results, models, or benchmarks.

AISpeakers at The Curve, a Berkeley AI conference, discussed limiting how intelligent large language models can become, amid concerns over recursive self-improvement. Proposed approaches include Anthropic's responsible scaling policy, limits on compute and model copies, and restrictions on using frontier models for AI research. The column notes such enforcement tools do not yet exist and that the Trump administration opposes such restrictions.

AIOpenAI cut Luna prices by more than 80% to win share, while frontier models' share of tokens slipped from 53% in August into the mid-40s as buyers shifted to cheaper tiers. The author argues that in this commoditizing market, value accrues to platforms that control distribution and aggregate usage rather than to labs with marginal benchmark leads.

AIKevin Weil, OpenAI's account owner, called today's OpenAI release an incredible step for AI in mathematics. He said models of similar caliber are still needed in the physical sciences, and that he expects to get there.

AIAlexander Doria says that after Deep Blue, humans are effectively chess players now, likening their position to that of machines in chess. The post quotes a reply that questions how a claimed sub-quadratic algorithm running in n^1.9992 time could exist, despite any proof.

AIOpenAI-affiliated researcher Will DePue asked where AI will stand five years from now, without offering a specific prediction. The post was a brief prompt, and the quoted context notes that OpenAI released its grade school math dataset five years ago, a benchmark that AI systems then struggled with.

AIThomas Wolf's post is a short, playful reply: "how do you like them convolutions," apparently referencing Ben Affleck's comments on convolutional neural networks. The quoted context reports Affleck describing his Python scripting, understanding of CNNs and tensors, GPU work, and private looks at Google and OpenAI's video models.

AIEthan Mollick sarcastically says AI commentators routinely claim deep number theory expertise when opining on the latest math breakthroughs. The post offers no specific breakthrough, model, or figure, so its point is a skeptical observation about AI-community commentary.

AIAt IROS 2026 in Pittsburgh, at least 17 dexterous hand companies exhibited, 11 of them Chinese, with WUJI reportedly shipping 800 to 900 units a month. Boston Dynamics skipped a booth but released a video on the final day of a new four-finger, 13-degree-of-freedom Atlas hand, down from 7 DOF on its previous gripper. Hand makers are also selling capture gloves and data services, since labs need far more demonstrations than the hardware alone provides.

AIEthan Mollick urges AI labs to confirm that the models they ship understand their own products and how to use them. He adds that this knowledge should be updated whenever new features are released, noting it is odd when an AI knows everything about using a computer except its own app.

AIAnthropic's Thariq says Claude will increasingly use cloud-based "brains" while operating on users' computers through "local hands." He points to a Latent Space podcast discussion on how this is being implemented in Claude Code.

AITibo (@thsottiaux) posted that there are four updates or a reset, or possibly both, and asked how day two went. The post gives no details on what the updates or reset involve.

AIGoogle describes new research intended to help researchers and public health officials complement existing health information and bridge reporting gaps. The stated goal is to address health challenges proactively. The post provides no further details on the specific research, methods, or results.

AIroon (@tszzl) posts a joke casting "lord Indra," labeled with pdoom above 50%, arriving at the river Ganga and greeting it with namaste. The post is a lighthearted meme about AI doomer probability estimates and contains no concrete figures beyond the stated pdoom threshold.