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Ethan Mollick@emollickAI score42AIEthan Mollick notes that some OpenAI proofs have sparked rapid iterative advances from a wide community of collaborators amid debate over their implications for mathematics. A related post reports that a collaborative effort tightened the bound κ from 2⁻¹⁸² to 2⁻¹⁵, a roughly 500-thousand-fold improvement on the previous result.
Miles Brundage@Miles_BrundageAI score22AIMiles Brundage speculates that Anthropic's new rule, making abusive behavior toward Claude a Usage Policy violation effective November 12, 2026, is meant to help its IPO and win favor with the administration as part of a regulatory capture strategy. The post offers this as a guess about motive rather than a confirmed fact, and it relies on the policy change flagged in the quoted post by Andrew Curran.
Epoch AI@EpochAIResearchAI score13AIEpoch AI reports that models fail to adopt its house style even when given many examples. As one example, a diagram generated by Fable 5.1 is far more information-dense than what Epoch would produce.
Ethan Mollick@emollickAI score8AIEthan Mollick predicts that a short document at will become assigned reading in college classes covering the current moment. He says the few paragraphs contain a great deal of significant content, though the post itself gives no further detail.
SemiAnalysis@SemiAnalysis_AI score18AIThe Financial Times reports that OpenAI's annualized revenues are $20bn less than previously signaled. SemiAnalysis's post asks when OpenAI will launch an agent swarm for a lean proof of its actual annualized recurring revenue, without giving a timeline.
Thariq@trq212AI score3AIThariq, an Anthropic-affiliated account, posted a brief call that the team should be more ambitious. The post names no product, model, or concrete plan, so no further details can be supported.
Ethan Mollick@emollickAI score9AIEthan Mollick recalls writing a 2005 grad school paper on the original computer hacking, phreaking, and BBS scene. He notes that hackers were often driven by curiosity, but the tools they built were widely exploited by "script kiddies" who caused most of the damage and chaos. He then pivots to AI hacking, though the post does not elaborate.
AILiquid AI is building personal AI that runs on devices such as phones, wearables, PCs, and cars, using its Liquid Context layer, which is optimized for Snapdragon processors, to sit between models, agents, and hardware. The company's agent harness uses its own models to decide which user context to retain and how to compress it within fixed compute limits. Liquid AI is also collaborating with Mercedes-Benz Group AG to bring on-device AI to its cars and plans observability and continuous improvement loops for self-improving agents.
AITessl's blog post argues that repository automation needs Continuous AI, a third pillar alongside CI and CD for scheduled, auditable AI workflows that improve repositories over time. The article describes GitHub Agentic Workflows, which harden agentic workflow specifications into GitHub Actions that can run coding agents such as Claude Code, Copilot CLI, Gemini CLI, or Codex-style agents. It emphasizes read-only agent steps, restricted outputs, and human review of pull requests.
Joshua Achiam@jachiam0AI score4AIJoshua Achiam says he took a quiz or test a second time after the first attempt returned a Dean Ball easter egg. He calls the result very reasonable and says landing dead center on the map feels on-brand.
AIMeta says its closed-loop liquid cooling recirculates water in a sealed system, so its data centers use less water annually than an average US golf course. The company also says it pays for the new generation and transmission its facilities require, including in Louisiana under its Entergy agreement, and that data centers create construction and operations jobs.
Modal@modalAI score16AIModal says AI for science requires rapidly changing models and fluctuating GPU needs, including folding models, protein diffusion, single-cell LLMs, and agent swarms. The post promotes computational biology leaders from GSK, Anthropic, and Achira speaking on the main stage at Runtime.
LlamaIndex 🦙@llama_indexAI score8AILlamaIndex says Markdown is its default output for document parsing because it preserves headings, lists, and tables, which helps models read content correctly. The post notes that parsers can extract every word yet lose which column a number belongs to, forcing models to guess. For tables with merged headers, LlamaIndex switches to HTML.
Stanford HAI@StanfordHAIAI score22AIStanford HAI associate directors Risa Wechsler and Russ Altman told incoming Stanford students, faculty, and staff that AI agents can help researchers write code and tackle more ambitious questions. They stressed that AI-generated results need rigorous, reproducible methods, measured uncertainty, and careful attention to missing data, systematic errors, and biased models. Altman also argued that labs should preserve mentorship and interdisciplinary collaboration while adopting AI tools.
jason@jxnlcoAI score8AIJason Liu says he lacked the vocabulary, not the ambition, to design objects in CAD for 3D printing, so he learned printing, part efficiency, and shape terminology. He argues AI is like magic that still requires learning the right spells and incantations, and that it has made him want to understand the subject more deeply.
elvis@omarsar0AI score22AINatura AI's Interface is a ring that lets users press and hold to speak requests to AI agents such as Claude Code, Codex, or Hermes, then release to send them. The post argues that screenless interfaces may define the next phase of agent use, since handing work to agents is currently slowed by pulling out a phone. Early-adopter pricing is $99, with shipping slated for January.
AIJabil senior director Thomas Brown says humanoid robots are entering a phase of tens of thousands of units, where manufacturability, cost structure, and quality become central. He says Jabil works with developers to cut costs for scale, while compute and memory prices remain a pain point, and that humanoids make sense in factories and warehouses while mobile arms still suit high-speed tasks.
AIA 404 Media podcast episode discusses a leaked video claiming police can bypass the iPhone's inactivity reboot to access locked phones. The episode also covers a debate over an LLM "torture" robot prison and a New Mexico case involving ChatGPT.
Julien Chaumond@julien_cAI score31AIJulien Chaumond, Hugging Face's account, mocked the idea of needing US or Chinese rivals when European partners exist. The remark responds to Berlin-based search engine Ecosia dropping French AI partner Mistral in favor of open-source models, including those from China.
Santiago@svpinoAI score40AISantiago says physical consistency is the most important and hardest feature of a world model, and that many generated videos show objects defying gravity. He reports that Seedance 2.5 is currently the best among the evaluated world models. The post links to a physics evaluation benchmark in which eight video world models reached a top score of 57.76/100.
Fireworks@FireworksAI_HQAI score14AIFireworks AI argues that serious AI teams eventually build their own data, evaluations, models, and possibly chips. The post features swyx of Latent Space and AI Engineer discussing why the future is domain-specific, and promotes an in-person event in San Francisco on November 3.
AIOpenAI reportedly posted solutions to 90 of the top 500 open math problems, using an average of three hours of Pro-level compute per question. Anthropic released Claude Haiku 5.5 at $0.10 input and $0.50 output per million tokens, and the author says Jay Clayton was named AI Czar to head a new taskforce.
Andrew Curran@AndrewCurran_AI score9AIAndrew Curran jokes that a newly discovered planet should be named Claude, since he primarily used Opus 5.5 and Fable 5.1. The post is light commentary tied to a quoted thread describing a planet hidden in NASA telescope data for seven years.
Allie K. Miller@alliekmillerAI score18AIMeta is reportedly placing a new icon on Instagram's profile page, following the same approach it used to promote Reels and Threads. The post predicts millions of additional users within the next week, though it provides no figures or details to support that estimate.
Nathan Lambert@natolambertAI score10AINathan Lambert says the strange state of AI news, including kids vibe hacking with Claude Code and governments vibe governing, greatly increases uncertainty about what is coming. He calls this meme-heavy AI timeline one of the scariest developments.
indigo@indigoxAI score7AIIndigo (@indigox) observes that AI systems know a great deal about the world but nothing about a given company. The post is a brief, informal remark with no specific models, figures, or products cited.
Boris Power@BorisMPowerAI score25AIBoris Power, who owns the OpenAI account posting this, responded to a third update on OpenAI problem #109, integer multiplication. The quoted update reports a tightened bound of κ > 2⁻¹⁸, improved from κ = 2⁻¹⁸², with an exact witness of 4.19 × 10⁻⁶.
Satya Nadella@satyanadellaAI score38AIMicrosoft CEO Satya Nadella says Copilot is being positioned as a new operating system for work, paired with a governed headless business layer that gives agents access to CRM, ERP, and other systems of record. He says Microsoft announced over 30 new Copilot skills across Dynamics 365 Sales, Service, and Customer Insights, plus Microsoft Copilot Managed Runtime for IT-governed code hosting. He describes users building custom software or Dataverse extensions through Copilot Code, though the post is an early vision with few concrete specifications.
GitHub@githubAI score22AICamilla Moraes from GitHub's Tiny Wins team joins the latest GitHub Podcast to discuss the AI slop problem, which has become one of the biggest pain points for open source maintainers. The episode also covers listening to maintainers and deciding what to fix next.
AITypeSafe AI released Jev, a "decision model" that returns a floating-point probability rather than text, which can answer yes/no and multiple-choice questions and score content against criteria. The source cites two browser-extension examples: semantic Ctrl+F search and webpage quality scoring. Simon Willison's criticism is that Jev offers no explanation for its numbers.
Microsoft Research@MSFTResearchAI score16AIMicrosoft Partner Research Manager Jennifer Neville tells host Chad Atalla that surprising AI failures can expose where human expectations about intelligence diverge from how AI systems actually work. The discussion frames these less obvious failures as more important than the obvious ones.
meng shao@shao__mengAI score8AIThe author says that in two years at Megvii they met some of the smartest and most idealistic people, though the company did not achieve what they call a "result" for unnamed reasons. They argue these people can succeed anywhere and will keep thriving after the company's scattering, while a quoted reply reflects on six years at Megvii as "China's AI Fairchild."
elvis@omarsar0AI score13AIThe post promotes a curated collection of recursive self-improvement (RSI) papers covering the field's history and latest techniques. The author describes RSI as a hot, still-early AI topic and links to the collection at academy.dair.ai.
Logan Kilpatrick@OfficialLoganKAI score6AILogan Kilpatrick, who works on Google's Gemini, states that nearly anything is now possible in the digital world with AI. He adds that the same will soon hold for the physical world, largely due to AI.
Allie K. Miller@alliekmillerAI score17AIRyan Serhant has launched a second Instagram page featuring entirely AI-generated content, using a HeyGen avatar of himself in different outfits. The author praises the transparent disclosure of AI use and the choice to run it as a separate channel, and suggests the page as an example for anyone doubting current AI avatar quality.
Orange AI@oran_geAI score10AIOrange AI (@oran_ge) posts on X that mathematics may no longer exist, or that a "god of mathematics" has already been born. The post asks what mathematicians and mathematics students will do next, without citing any model, benchmark, or specific result.
AIA Kyndryl survey of 2,000 senior IT decision-makers found only 10% are applying agentic AI as a modernization tool, and nearly half report being behind schedule with cost overruns. Researchers say agentic AI shows early promise for mapping hidden dependencies, generating code, and creating documentation, while Andy Thurai, a former IBM chief strategist, warns that AI-driven infrastructure sprawl could make compute costs unpredictable.
SemiAnalysis@SemiAnalysis_AI score38AISemiAnalysis argues that many businesses, especially low-margin ones, are offloading simpler software and white-collar tasks to increasingly capable open-source models. It frames the durability of frontier labs as depending on whether new tasks enabled by smarter frontier intelligence will outgrow the work moved to cheaper models. The post asks whether an economy could absorb 100 million superintelligent PhD-level experts quickly while still earning high ROI.
AIThe author argues that agents working across a company fail because they lack the decisions and context recorded in threads, meetings, and DMs, not because the model is weak. The approach stores distilled claims with source evidence and time, never overwrites facts, labels missing information explicitly, and resolves permissions before the model runs. The report cites results on LongMemEval, including 99.8% top-ten evidence recall and $8.24 ingestion cost, and says an open-weight model can match frontier extraction quality.
Ben Tossell@bentossellAI score3AIBen Tossell posted a brief reflection that everything feels the same yet disconnected. The post gives no specific product, model, figures, or context, so no further details can be supported.