All AI news

AIA post from hardmaru compares novel locomotion policies discovered in MuJoCo simulation to real-world robot behavior, noting they now work outside simulation. The reply context shows slow-motion footage of a 400m champion's running form at the World Humanoid Robot Games, suggesting the comparison concerns humanoid running gait.

AIAndrew Ng praises the Marin project for openly releasing code, data, recipes, and experimental results in model training. He says releasing AI research openly used to be the norm and thanks Percy Liang for the open lab approach.

AIIan Johnson says putting many disciplines on one platform speeds up all of them as agents and people collaborate. The example given is CurieOS, which handled literature review and calculations for a V1 jet impingement lid and proposed a funneled jet geometry in V2 that cut pressure drop with minimal engineer steering. The V3 design is being validated and built in parallel with other work on the platform.

AISwyx argues that simulating humans and their feedback is likely the final barrier to recursive self-improvement, where models automate increasingly large parts of ML research. He says Simile, which builds human simulations, is already finding product-market fit with Fortune 100 companies despite its early stage.

AIswyx says he has another SaaS to kill and will share the results of "Kill My SaaS 1" next week. The quoted post urges setting coding agents such as Codex, Claude, Gemini, or Devin to run weekly autoresearch on SEO and AEO improvement.

AIswyx reports that covering this year's MongoDB Build Fest was a major step up from last year and gratifying to see San Francisco builders rediscovering MongoDB. He recalls learning to code with MongoDB over ten years ago through the MERN stack.

AIA humanoid robot preparing for the Robot Olympics in Beijing ran too fast, failed to stop, and slammed into a safety cushion, breaking at the waist. The main post, by hardmaru, is only a short comment reading "Winning at all costs," so the criticism is implied rather than explicit.

AIAli Ghodsi says disaggregating storage from compute became feasible only after research on full bisection bandwidth networks removed datacenter bottlenecks around 2010. Databricks and Snowflake followed soon after, and many others came later. He says putting data on an object store is now the standard approach.

AIThe author argues that agents editing their own harnesses and training loops are only bounded self-improvement so far. Recursion would require the system to also raise and keep an honest evaluation bar, which current evidence does not show.

AIMatt Pocock's /wayfinder skill is designed for "fog of war" situations where the end state of a project is unclear. It orchestrates research and other grill sessions to help users discover what they don't yet know, building on his popular /grill-me skill. Latent Space is featuring the skill in an exclusive interview as the first in a series of Skills coverage.

AIDean Ball, writing in his first OpenAI-hosted post on the new AI Futures blog, argues that concentration of power is the largest long-run AI risk. He says states could project force and collect revenue without the human labor and cooperation that have historically constrained them.

AIZhang Yijia, founder and CEO of Chinese tech think tank 甲子光年, presented a 2026 AI trend report at a Beijing investment conference, arguing China's venture capital has entered a new cycle as financing, investment, and exits rebounded in H1 2026. He said AI absorbed over 70% of global venture investment in H1 2026, with OpenAI and Anthropic together raising $217 billion, and that global AI-related capex is expected to exceed $1 trillion in 2026.

AIVarun Mohan says users building with Gemini 3.7 Flash on Antigravity are seeing tasks that once took an hour now finish in minutes. He adds that more is coming.

AIMicrosoft Research's Doug Burger, Amy Luers, and Ishai Menache examine AI's climate impact and how the technology can be steered toward a sustainable future. The post frames AI as following earlier powerful technologies like the internet and social media, which both carried trade-offs. It links to a longer piece for the full discussion.

AIMark Chen says many of OpenAI's strongest researchers are choosing to focus on alignment, and the company is hiring for those roles. He invites candidates who want to work at a frontier lab that takes alignment seriously and does not claim it is solved. A quoted reply from Micah Carroll says OpenAI's Preparedness work remains active, with its RSI/misalignment subteam doing urgent work.

AIKevin Weil argues that AGI for enterprise productivity should not come at the cost of AGI for scientific acceleration. He endorses the view that curing cancer, not merely claiming AI will cure it, is the real test, with the bottleneck being missing biological data and infrastructure rather than model intelligence alone.

AIChip Huyen asks what a good model tiering system looks like, since she is tired of naming specific models per vendor for her agent orchestrator. She wants to instruct the orchestrator by task tier, such as "use models tier ..." for a given kind of task, instead of listing Claude, OpenAI, and other models individually.

AIJason Wei now believes a small 1B-parameter "cognitive core" relying on tools is insufficient, because fast, natural recall without tool use matters. He cites speed, knowledge better learned through backpropagation than retrieved from search, and the greater reliability of already-known facts over repeated lookups. Since a 1B model has an information limit, he argues that demanding AI will still need larger models, not just tool access.

AIFidji Simo argues that smarter AI models alone will not cure diseases, because the biological data needed to understand complex illnesses is largely missing. She says cancer is the most promising first target given decades of investment in genomics, pathology, imaging, and clinical datasets. Simo adds that model intelligence and biological infrastructure must scale together, or AI risks an incomplete picture of human biology that delays progress.

AIhardmaru posted a short X message stating "intelligence wants to be free," with no further details, models, or figures provided. The post offers no concrete product, release, or benchmark information.

AISoumith Chintala says he will be in Hyderabad next week and wants to meet people outside his usual circle. He asks for recommendations of people in Hyderabad working in deep tech, AI product, AI research, and GPU optimization, and links to a form for submissions.

AIDario Amodei rejects claims that his messaging on AI has been disproportionately negative, saying he has written one major essay on risks and one on benefits, and that his Machines of Loving Grace essay argues AI could cure most human disease in about 5–10 years. He says the public's negative view of AI reflects a broader crisis of trust in companies, governments, and tech, and that the fix is actually delivering results rather than marketing. Anthropic says it is ramping up biology and medicine efforts and expects early results in the coming months.

AIDario Amodei rejects the choice between concentrating AI through regulation and distributing it widely as a false dichotomy. He says Anthropic designs policy proposals to slow frontier companies while advantaging smaller competitors, citing SB 53's revenue and training-cost exemptions. He also says recent federal pre-deployment testing plans for frontier and open-weights models match his preferred regulatory path.

AIEpoch AI outlines nine open questions about AI capabilities, including whether AI can take over full jobs and whether benchmark scores are correlated. The author says Epoch's benchmarking work is built to help answer them, citing examples such as MirrorCode, Remote Labor Index, and the Epoch Capabilities Index (ECI). The post notes that benchmark scores are highly correlated across domains, and that ECI growth trends can help detect whether AI capability progress has accelerated.

AIMistral AI cofounder Arthur Mensch says cofounder Tim shares strategic thinking behind the company's latest updates, linking to a VentureBeat article. The post itself provides no further product details, figures, or timelines.

AIThe article argues that scientific papers omit the failed experiments and rejected branches that could train AI systems to develop scientific judgment. It describes Alasdair Russell's Cambridge group logging discovery paths as graphs of ideas, and proposes recording six fields per decision, including candidates and outcomes, to test whether this taste transfers to unfamiliar projects.

AIA neurosurgery resident at Peking Union Medical College Hospital, Shanmu Jin, posted a preprint claiming a proof of Crouzeix's conjecture in numerical linear algebra after using ChatGPT 5.6. The essay by Alex Townsend and Anne Greenbaum says the conjecture had been open for more than two decades and that the argument held up after a few hours of review. Bubeck, who says he spent a week on the problem in 2012, quotes the story and calls it amazing.

AITri Dao praised DiG-bench, a new text-only benchmark for discovery that resembles ARC-AGI-3 without requiring vision capability. The benchmark, built by researchers from Princeton, MIT, KAUST, and Inria, tests frontier models on text-based discovery games. Their early findings indicate frontier models have improved substantially but still struggle with some surprisingly simple problems.

AIJason Wei argues that as AI gains advantages like driving better than humans, durable human moats remain in private knowledge that language models cannot access, such as high-end real estate and venture capital. He also points to entertainment and the arts, where human creation and achievement carry value, and to human presence, since time spent on someone is meaningful because a finite life runs out.

AIAmanda Askell notes that in BioShock, an ethical playthrough is judged by whether the player avoids murdering children, while killing adults is acceptable. She observes this makes the bar for ethical play in different games an interesting comparison.

AIAman Sanger, owner of Cursor, posted that a 1.5T model "could" and that bigger, better models are on the horizon. The post is short, offering no benchmark scores, release dates, or pricing, and it links to Grok 4.6 from @SpaceXAI, which the source describes as a significant improvement over Grok 4.5 at the same price.

AIMistral AI says it is building toward a framework where enterprises, governments, and startups can use the best available AI, shape it around their own knowledge, and keep the value it creates. The post gives no specific product, model, or release details.

AIMistral AI says the world needs an open-source platform, and it is building one to give customers more choice in selecting the right model for each task. The company also plans to keep developing frontier and efficient open models across modalities.

AIJeff Dean posted a slide that was built up piece by piece, with additional pictures and context shown in the intermediate steps. The post provides no further details about the slide's topic or content.

AIAman Sanger of Cursor says each AI product wave produced a dominant player, naming OpenAI for chat, Anthropic for coding, and welcoming SpaceXAI for general knowledge work. The post links to Grok Bot, described in quoted context as an early-beta AI teammate that signs into tools, uses them like a person, and returns finished work.

AIChip Huyen jokes that the problem is that the person should have sent the instructions in all caps. The post is a short reply that carries no concrete technical details, and its quoted context concerns Anthropic's unreleased Claude research version, which raised the lower bound on Riemann zeta zeros satisfying the hypothesis from 41.6% to 67.2%.

AIFei-Fei Li argues that all tools, including AI, should augment human agency, following a conversation with Andrew Huberman. The Huberman Lab episode covers topics including computer vision, AI's gaps in emotion and creativity, human-centered AI, and World Labs' spatial intelligence work.

AIIceland's government launched one of the world's first national AI education pilots in late 2025, giving volunteer teachers access to AI tools. Anthropic visited Iceland to examine how residents view AI. The source provides no further details on pilot results or outcomes.

AIChip Huyen asks why model providers don't price tokens like electricity, charging more during peak hours and less off-peak. The post poses the question without offering an answer or citing any figures.

AIGeoffrey Hinton announced he is finishing a book with Patchen Barss that offers a non-technical explanation of how AI works. The book also argues that AI is dangerous and proposes what should be done about it. It is published by Viking Books.