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Oct 8

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  1. Andrew CurranAI score28

    Association for Human Mathematics sets three vows against AI in math

    AIThe Association for Human Mathematics requires members to take three vows opposing AI use in mathematics. Members must not provide technical labor, knowledge, consultation, or publicity to commercial AI companies, and must not publish AI-generated mathematical texts, including papers, referee reports, and lecture notes. Members of its AI-free caucus also must not use AI models in research.

  2. Lauren TanAI score38

    Lauren Tan argues PR volume matters now that agents make coding machines universal

    AILauren Tan argues that with frontier AI agents, anyone can produce code at machine speed, so PR volume now signals productivity alongside impact. She says the bottleneck is trust in agent output, and that higher token costs are worth it compared with hiring many engineers. She frames the engineer's job as building the software-producing machine rather than writing code directly.

  3. The Guardian · AIAI score46

    Teen hiker rescued after Claude's directions led him to a climbing wall in British Columbia

    AIA 16-year-old hiker, Bryce Vincent Gowryluk, was rescued in British Columbia after route directions from the AI chatbot Claude led him to the base of the Widowmaker Arete, a climbing wall requiring ropes and cams. Rescuers said he was "far off" his intended route to Crown Mountain, and North Shore Rescue had to hoist two members down to lift him out. Search manager Paul Markey warned hikers not to rely blindly on AI for route planning.

  4. Epoch AI · The Epoch BriefAI score49

    Epoch AI's October 2026 Brief Covers AI Agents, Falling Costs, and China's Chip Exposure

    AIEpoch AI estimates the AI chips shipped through 2027 could support about 30 to 170 million concurrent frontier-model agents, or nearly 2 billion with cheaper models. Its researchers find the cost of a fixed level of AI performance has fallen about 47% per quarter over the past three years. The newsletter also reports China's semiconductor supply-chain exposure is 2.7 times that of the US.

  5. Sherwin WuAI score62

    Harvey LAB-AA v1.1 adds hallucination gate, reshaping legal benchmark rankings

    AIArtificial Analysis and Harvey released LAB-AA v1.1, which credits a legal task only when deliverables pass every rubric criterion with no material hallucinations. Grok 4.7 (xhigh) leads at 9.4%, ahead of Muse Spark 1.3 (max) at 8.9% and GPT-6 Astra (max) at 8.6%, while over 60% of otherwise passing results contained a material hallucination. The sharper reordering appears in the hallucination counts, where GPT-6 Astra averages 0.03 material hallucinations per task against 13.96 for Gemini 3.8 Flash (high).

  6. Alex HeathAI score38

    Qualcomm CEO Cristiano Amon on AI phones, glasses, and 6G

    AIQualcomm CEO Cristiano Amon discusses the coming AI smartphone supercycle, arguing phones will not disappear as agents use personal context. He also expects smart glasses to become the largest AI wearable category, and covers Qualcomm's Modular acquisition as an alternative to Nvidia's CUDA software and its data center strategy. The conversation, recorded live at the Snapdragon Summit in Hawaii, also covers 6G being designed for AI.

  7. Gizmodo · AIAI score18

    REK Stages Human-Versus-Robot Fights, Then Puts Swords on Robots

    AIRobot Entertainment Kombat, founded by Cix Liv, hosted a September 18 San Francisco event where a human fought a remotely controlled robot and lost each match, leaving with a hand injury. The California State Athletic Commission sent a cease-and-desist, saying the fights were unsanctioned and require approval before any bout involving a human. REK plans a robot deathmatch later this month with remotely controlled bots equipped with weapons.

  8. Artificial AnalysisAI score28

    Artificial Analysis Pareto frontier: GPT-6 Luna cheapest per task at $0.22

    AIAmong models with a Hallucination-Gated All-Pass Rate above 0%, GPT-6 Luna (max), GPT-6.1 Sol (max), Muse Spark 1.3 (max), and Grok 4.7 (xhigh) set the Pareto frontier for score versus cost per task. GPT-6 Luna (max) is the cheapest at about $0.22 per task, scoring 3.3%, while Grok 4.7 (xhigh) leads at about $9.50 per task and Muse Spark 1.3 (max) costs about $4.20. The three Claude models cost about $18 to $22 per task.

  9. TechCrunch · AIAI score36

    Ben Affleck's AI expertise goes viral as he explains neural networks and fine-tuning

    AIActor Ben Affleck drew attention this week for explaining machine learning concepts, including convolutional neural networks, tensors, and transformers, in several recent interviews. He said he fine-tuned open video models by unfreezing weights and training only the last cinematic layer, using a dataset he built over about eight months for his startup. Affleck said he worries about students and learned helplessness more than Skynet, and predicted AI will be additive to the movie business.

  10. The DecoderAI score75

    Mathematicians call for OpenAI boycott after AI-generated proofs flood their field

    AIA group of mathematicians led by Terence Tao has called for a boycott of OpenAI after the company released more than 700 AI-generated proof files at once. Tao and other Fields Medalists argue that mass-produced solutions undermine the discipline's focus on conceptual understanding, while Scott Aaronson contrasts this batch release with Anthropic's collaborative approach. The article reports that the internal model tested about 8,000 problems with roughly a five percent success rate.

  11. CNBC · TechnologyAI score38

    Trump's August Disclosure Shows Up to $25 Million in Meta and $5 Million in SpaceX Debt

    AITrump disclosed more than 500 securities transactions in August, including a purchase of up to $25 million in Meta stock and up to $5 million in SpaceX senior unsecured notes. The filing, which reports trades in value ranges, shows total activity of roughly $74.3 million to $273.3 million according to a CNBC analysis. The SpaceX notes were bought two days before Trump signed a national space transportation policy, and the White House says the portfolio is independently managed.

  12. Gizmodo · AIAI score13

    Trump Declares Anyone Using "Artificial Intelligence" Term "THE ENEMY" on Truth Social

    AIPresident Donald Trump posted on Truth Social that the White House considers anyone who uses the term "Artificial Intelligence," instead of "Super Intelligence," to be "THE ENEMY." The article reports that Nvidia's Jensen Huang, Meta's Mark Zuckerberg, Elon Musk, and Jeff Bezos have adopted the "super intelligence" term, and that ai.gov was changed to read "SI" while si.gov appears dormant.

  13. The Guardian · AIAI score42

    AI Boom Drives San Francisco Rents Up 25% as Evictions Rise 44%

    AIThe AI industry's boom is pushing San Francisco rents sharply higher, with the average one-bedroom now costing $4,400, up more than 25% from last year and nearly three times the national average. Eviction notices citywide are up 44% compared with last year, and advocates say landlords are using Ellis Act evictions, renovictions and "self-eviction" tactics to exploit the market. Mayor Daniel Lurie declared a "rent emergency" in September, proposing eviction legal aid and caps on rent increases for newly vacant rent-controlled units.

  14. Stanford HAIAI score22

    Stanford HAI leaders urge keeping people central to AI-driven research

    AIStanford HAI associate directors Risa Wechsler and Russ Altman, speaking at a Stanford orientation, argued that AI agents can deepen scientific research but must be paired with interdisciplinary collaboration. They stressed rigorous, reproducible methods and clearly measured uncertainty, since convincing AI answers are not enough. They also said labs must weigh agent costs and preserve mentorship so that automation supports human participation in research.

  15. Latent SpaceAI score59

    Periodic Labs argues AI scientists need physical experiments, not just more data

    AIPeriodic Labs' Liam Fedus and Ekin Dogus Cubuk explain why scientific discovery differs from math and coding, and why experiments remain the ground truth. They describe reinforcement learning grounded in physical experiments, AI-driven materials characterization, and the view that failed experiments can be valuable training data. The transcript was truncated before the discussion of giving lab instruments "140 IQ" was completed.