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Top stories Updated 15 Nov 2026, 06:13 UTC

Research Labs and arXiv

Lab notes latest posts

  1. Google Research

    Advancing science & engineering with Antigravity’s /teamwork

    NoteEducation Innovation

  2. Hugging Face

    Build a Robot Pick-and-Place Simulation with SimReady Assets

  3. Hugging Face

    XYBench: Helping with the problem behind the question

  4. OpenAI

    Introducing ChatGPT Wallet

    NoteIntroducing ChatGPT Wallet, a secure way for agents in ChatGPT Work, Codex, and dots to complete purchases with user approval and existing card protections.

arXiv tray newest first

  1. arXiv:2611.16748 [cs.CV]

    PhysLoop: Harnessing LLMs' Physics Awareness for Self-Improving Video Generation Models

    Chen, Y. et al. · 12 Nov 2026

    Video generation models produce visually realistic videos but still struggle with physical dynamics and causal consistency. Learning from generated videos requires fine-grained physical supervision, yet reliable quality judgments, correction pairs, and controlled variations are…

  2. arXiv:2611.16455 [cs.AI]

    Rational Alignments of Superintelligences via Debates

    Sornwanee, T. · 12 Nov 2026

    Artificial superintelligences (ASI) is artificial intelligences with greater capability. However, as human principal has to use it, we have to ensure that the agent will perform in the interest of the human. We investigate…

  3. arXiv:2611.15049 [cs.AI]

    Science Prediction Universe

    Tu, Z. et al. · 11 Nov 2026

    Humanity has long sought to explain natural phenomena. Reliable prediction of experimental outcomes is a central test of our understanding of the processes that produce them. If artificial general intelligence (AGI) is to surpass…

  4. arXiv:2611.14949 [cs.AI]

    RSI-PDEbench: A Benchmark for Self-Improving Agents in PDE Solving

    Lu, B. et al. · 11 Nov 2026

    Identifying and solving partial differential equations (PDEs) from sampled solution data often requires substantial expert effort in equation discovery, coefficient estimation, and numerical solver configuration, especially under noise and distribution shifts. Can large language…

Social wire Public posts, quoted as text, newest first

X 2 posts

Claude @claudeai

A team of 1,000 Fable 5.2 agents fully formalized Fermat’s Last Theorem in 30 hours, translating the proof into a language a computer can check step by step. With the same setup, Opus 5.5 completed only 26% in 18 hours, and barely made any more…

Claude @claudeai

Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges. They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.

Reddit 16 posts

Mastodon 16 posts

Miguel Afonso Caetano 🦾 🌹 @remixtures@tldr.nettime.org

An honest and objective review of Fable 5.2: "So, is this AGI, according to my limited definition? It is certainly artificial and intelligent. It is also surprisingly general. In this post alone, one model worked as a filmmaker, a hardware hacker, an entrepreneur, a literary…

0 replies2 boosts0 favourites

The Artsy Brain @theartsybrain.rip@theartsybrain.rip

Planes, Trains and A.I. The writer reflects on a nationwide flight grounding initially suspected to involve the FAA’s new AI system, though officials later attributed it to communications problems. They argue AI can be useful but should never operate without human oversight, especially in safety-critical…

0 replies5 boosts1 favourites

Hacker News 12 threads

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