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Jul 10

Jul 10Fri
  1. Soumith ChintalaAI score29

    Thinking Machines outlines personalization, human participation, and decentralization goals

    AISoumith Chintala, a Thinking Machines figure, says the lab focuses on personalization and sovereignty, human participation, and decentralization to democratize AI. He argues these reduce society's dependence on centralized AGI companies, including his own. He points to Tinker, interaction models, and openly published research as previews, with more coming soon.

Jul 9

Jul 9Thu
  1. Thinking Machines LabAI score44

    Thinking Machines Argues the Future Worth Building Keeps Humans Central to AI Decisions

    AIThinking Machines Lab says AI should extend human will and judgment, with people shaping its goals through continuous feedback rather than relying on models trained once and frozen. The company outlines three technical directions: training strong models, building tools for customization including training model weights, and developing interfaces that let personal judgment influence AI work. It also says it will publish research for the scientific community.

  2. AI Snake OilAI score62

    AI labs may escape the commodity trap by moving up the stack

    AIThe essay argues that AI labs selling model inference face commodity pricing pressure, but may achieve durable profits by moving into products, enterprise deployments, and switching-cost moats. It cites historical infrastructure industries and the Bertrand paradox to support the view that value capture depends on climbing the stack. The authors also warn that successful lock-in could raise enterprise costs and concentrate power, making early interoperability and portability standards important.

  3. AI Futures ProjectAI score42

    AI Futures Project Releases AI 2040: Plan A Scenario on Delayed Superintelligence

    AIThe AI Futures Project has published AI 2040: Plan A, a detailed scenario recommending policy action that delays superintelligence until 2040 rather than 2030. The authors present it as a recommendation rather than a prediction, and it is available at ai-2040.com in text, audio, and mobile formats, with a fuller experience on a desktop computer.

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  1. One Useful Thing (Ethan Mollick)AI score62

    Ethan Mollick argues AI is shifting from chatbots to long-running agents

    AIMollick argues AI capability is improving at a better-than-exponential rate, citing METR, GDPval, Epoch, and his own tests showing models working autonomously for hours. He says work is shifting from co-working with chatbots to assigning tasks to agents, with OpenAI workers managing multiple agents and experts getting the most from them. He adds that open-weights Chinese models trail the American frontier by roughly 6-12 months.

  2. Werner VogelsAI score22

    Werner Vogels says two-pizza teams are about ownership, not food

    AIAmazon CTO Werner Vogels argues that the "two-pizza" team concept was never about feeding engineers but about ownership, speed, and avoiding bureaucracy. He says working backwards from the customer and writing documents to force clarity remain core practices. He adds that the industry is changing and it is time to reconsider how products are brought to life.

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  1. Fidji SimoAI score46

    Fidji Simo says minor respiratory viruses are a major underestimated health risk

    AIFidji Simo praised Intercept, a $500 million philanthropic initiative to eliminate respiratory infections like colds and flu. The accompanying blog post cites links such as 9.8x asthma risk by age 6 after rhinovirus infection in early childhood and 6.1x heart attack risk for seven days after influenza. Intercept will fund broad-spectrum preventatives and air-cleaning technologies.

Jun 23

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Jun 19

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  1. AI Futures ProjectAI score60

    Forecast puts China's commercial EUV lithography in late 2030s

    AIThe post argues that China's commercial-scale EUV machines should be forecast for the late 2030s and immersion DUV for the mid-2030s, using ASML's development timeline as a reference. It also weighs factors that could push these estimates earlier or later, including state funding, espionage, talent flows, and the use of AI in R&D. The authors note that forecasts placing either milestone in the 2020s would need strong justification.

Jun 18

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Jun 16

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  1. Arthur MenschAI score13

    Mistral's Mensch says AI could decide abundance or extractive power

    AIMistral CEO Arthur Mensch compares AI to 20th-century oil, saying it will become a major source of global leverage and power. He argues the coming years could produce either broad wealth and abundance or the most extractive economies ever seen, and says Mistral is working toward the former by advancing AI research and accelerating its global diffusion.

Jun 15

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Jun 10

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Jun 5

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  1. BAAIAI score20

    BAAI's 8th Conference set for June 12–13 in Beijing

    AIThe 8th BAAI Conference will be held June 12–13 at the Zhongguancun Innovation Center in Beijing, with Turing Award laureates and China's large-model leaders attending. Core focuses include world models and agents, plus two new flagship sessions on AI-native education and the token economy. The event will feature 25 forums, over 200 speeches, and a first-ever on-site AI agent conference companion for real-time listening and summarization.

Jun 4

Jun 4Thu
  1. One Useful Thing (Ethan Mollick)AI score44

    Ethan Mollick Announces Co-Existence, a Sequel Book on Working Alongside AI

    AIEthan Mollick is releasing Co-Existence on October 20, a new book about working with AI systems that are sometimes, but not always, better than humans. The book follows his 2024 title Co-Intelligence, which he says was written about an era of chatbots rather than autonomous agents. Mollick also reports writing every chapter draft himself while using AI readers and fact-checkers, and building the book's website with Claude Code using Opus 4.8.

Jun 3

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May 28

May 28Thu
  1. HyperdimensionalAI score34

    A Cascade of Conscientiousness: Foundation for American Innovation Launches Physical Intelligence Team

    AIThe Foundation for American Innovation launched a Physical Intelligence team to address regulatory and legal barriers to deploying autonomous robotics and other physical-world AI in the United States. The team plans to focus on regulatory climate, technical trajectory, industrial strategy, and liability and cybersecurity frameworks. The article argues that physical AI will matter most where human on-site labor drives costs, such as construction.

May 27

May 27Wed
  1. Google LabsAI score22

    Google I/O creators discuss human imagination shaping AI creative tools

    AIAt Google I/O, creators behind Flow, Project Genie, and Google Flow Music said human imagination, not the technology itself, shapes new storytelling. Designers Khyati Trehan and Kaloyan blend traditional design knowledge with vibe-coding to build Google Flow Tools, with Trehan saying that if the right tool doesn't exist, she can make it. Google Labs points users to Google Flow, Project Genie, and Google Flow Music at labs.google.

May 26

May 26Tue
  1. MiniMax BlogAI score67

    MiniMax Agent Team Adds Parallel Multi-Agent Collaboration for Long Tasks

    AIMiniMax has upgraded its Agent, renamed Mavis, and introduced Agent Teams that run multiple role-based Agents in parallel on desktop. The team uses Leader, Worker, and Verifier roles so complex tasks can be split, checked, and reported at key checkpoints, and it merges TokenPlan and Agent Plan into one subscription with credits shared between Agent and API. The post also discusses the added token, handoff, and retry costs of multi-Agent work, and says the Agent will be open-sourced alongside MiniMax M3.

    Why it matters: The post explains why multi-Agent helps long tasks and where its verification, token, and aggregation costs come from, useful for judging when a team setup beats a single Agent.