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  • Publickey · JA New Model Releases
    GitHub、「Copilot Fusion」正式リリース。タスクに応じて最適なAIモデル選択で高性能かつ低コストに。GitHub Universe 2026
    GitHub launches Copilot Fusion, picking the best AI model per task
    Machine Learning Microsoft
    At GitHub Universe 2026, held October 28-29 in San Francisco, GitHub announced the general release of GitHub Copilot Fusion. The feature selects the best-suited AI model for each task, aiming for higher performance at lower cost.
    Read original (Publickey) ↗
  • ITmedia AI+ · JA New Model Releases
    ChatGPTの「Chat」と「Work」統合へ 利用制限はCodexと共通化
    OpenAI merges ChatGPT Work into ChatGPT; limits shared with Codex
    AI Agents GPT OpenAI
    OpenAI plans to integrate ChatGPT Work's agent features into ChatGPT, and paid-plan usage limits will be shared between ChatGPT and Codex. Chat, agent and coding use would draw on one allowance, signaling agents moving to the core of ChatGPT.
    Read original (ITmedia AI+) ↗
  • Hacker News (Front Page) · EN Developer Tools
    U.S. workers took home their smallest share of capital since at least 1947
    US labor share hits record low of 52.8% in Q2, lowest since 1947
    Fortune reports that the US labor share of output fell to 52.8% in Q2 2026, the lowest since the BLS began tracking it in 1947, down from 53.6% in Q1 and a decade average near 55.6%. Unemployment rose to 4.2% in September and job growth has slowed sharply. Economists cite automation and a shift toward capital, including AI, as well as immigration policy shrinking the workforce, and one calls for major retraining investment.
    Read original (Hacker News (Front Page)) ↗
  • ITmedia AI+ · JA Developer Tools
    オラクルの機能がChatGPTで利用可能に 複数システムをまたぐ業務をAIで自動化
    Oracle features come to ChatGPT as Oracle expands OpenAI partnership
    GPT OpenAI
    Oracle is expanding its partnership with OpenAI, using ChatGPT, Codex and other AI to support work from automating tasks across multiple systems to detecting software vulnerabilities and building applications. Small businesses get a plan that includes $12,000 per year in cloud usage allowance.
    Read original (ITmedia AI+) ↗
  • IEEE Spectrum (AI section) · EN Safety & Evaluation
    Guarding the Gates of Knowledge
    IEEE Spectrum editor on AI-faked papers and publishers' gatekeeping struggle
    Claude Gemini GPT Software Engineering
    The author argues AI answers still can't be trusted, so users must verify. Applied at scale, that maxim challenges publishers guarding the scientific record of peer-reviewed work. A feature on faking a paper with AI shows the human gatekeepers trying to hold the line.
    Read original (IEEE Spectrum (AI section)) ↗
  • Simon Willison's Weblog · EN Multimodal
    How We Took Over ChatGPT Accounts
    Researchers hijack ChatGPT accounts via MathLive HTML preview flaw
    GPT Machine Learning Neural Network OpenAI
    Parameter Labs found a complex attack chain against ChatGPT's sandboxed HTML previews. MathLive's virtual keyboard handles postMessage via innerHTML, letting untrusted iframe code inject HTML into the parent page and embed an unsandboxed iframe.
    Read original (Simon Willison's Weblog) ↗
  • Hacker News (Front Page) · EN Developer Tools
    HackerTube: YouTube built from videos recommended by HN
    HackerTube: a YouTube-style UI for 6,454 videos recommended on HN
    Karpathy's HackerTube is a YouTube-style interface over 6,454 videos pulled from 39,834 Hacker News comments dating back to 2007, letting readers browse the videos the HN community has recommended over the years.
    Read original (Hacker News (Front Page)) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    Sponsored: One security strategy. Four different data center realities.
    Sponsored: data center security should differ by site
    This sponsored piece argues that the strongest data center security strategies do not deploy identical controls everywhere. It makes the case for matching security controls to each facility's different reality.
    Read original (Data Center Dynamics) ↗
  • Simon Willison's Weblog · EN Infrastructure & Hardware
    dbreunig/nesformer
    Emulating an NES 6502 CPU inside Qwen3.5-4B's weights
    Neural Network
    Inspired by Divyansh Agrawal, Drew Breunig baked a working Nintendo Entertainment System 6502 CPU emulator into the weights of Qwen3.5-4B, so NES ROMs such as Super Mario Bros run inside the model, very slowly. In a Hacker News comment he shared the Opus 5.5 prompts used to build it.
    Read original (Simon Willison's Weblog) ↗
  • NVIDIA Developer Blog · EN Inference & Efficiency
    Run AI Models for Edge Application Development with Just a Few Commands
    NVIDIA shows how to run AI models for edge app development in a few commands
    AI Agents Generative AI Inference Machine Learning NVIDIA
    An NVIDIA developer blog post explains how to run AI models for edge application development with just a few commands. It frames the topic around AI expanding beyond the data center, as developers build agents that act at the edge, such as monitoring driver attention and cabin conditions.
    Read original (NVIDIA Developer Blog) ↗
  • Hacker News (Front Page) · EN Developer Tools
    Bunny CDN Security Incident
    Bunny CDN reports a security incident on its status page
    Neural Network
    CDN provider Bunny posted a security incident on its status page. Only the title was available, so the cause, scope of impact and remediation status are not confirmed. Users should check the company's official status page for updates.
    Read original (Hacker News (Front Page)) ↗
  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Flide: Accelerating Decision Inference with Exact State Forking
    Inference Meta Reinforcement Learning Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Hierarchical World Models with Implicit Dynamics
    AI Agents Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    RoboArchitect: Automating the Design of Robotic Agents with Persistent Memory
    AI Agents Fine-tuning Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Counting on Dummies: Privacy Amplification with Observable Counts and Truncated Batches
    Machine Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Instance-dependent sequential limits as an exact information ledger
    Algorithms & Theory
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Gradient Descent on Two ReLU Neurons: Global Landscape and Bifurcation Dynamics
    Deep Learning Neural Network
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    ACCT: Asymmetric Cross-LLM Context Transfer
    Deep Learning Inference Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    SATFRONT: Detecting Atmospheric Fronts with Satellite Data using Machine Learning
    Deep Learning Machine Learning Neural Network
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Regret-Optimal Wasserstein-Robust Linear Regression
    Algorithms & Theory
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Hard Constraint Projection in a Physics Informed Neural Network (Burgers)
    Machine Learning Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Hyperbolic Inverse Reinforcement Learning
    Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    CausalWAM: Learning the Causes of Actions in World Action Models
    Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Lobste.rs (AI tagged) · EN Developer Tools
    Anthropic has quietly told Claude Code to stop remaking existing video games
    Claude Code 2.1.314 now bars recreating existing video games
    Anthropic Claude
    Anthropic added a rule to Claude Code 2.1.314's pre-session instructions: build original games, genre games, or games from the user's own designs and assets, but don't recreate a specific existing game, even if it is renamed or called original.
    Read original (Lobste.rs (AI tagged)) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Differentially Private Synthetic Data from Sliced Chebyshev Moments
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    RAMA: Retrieval-Augmented Multi-Agent Routing with Episodic Memory for LEO Satellite Networks
    Deep Learning Reinforcement Learning Transformer
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    PersonaChatBench: Evaluating Chat Assistants with Diverse Simulated Users
    Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Exact Theory and Optimal Stepsizes for Stochastic Gradient Descent in Smooth Convex Minimization
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    A richness-sensitive Acoustic Biodiversity Index from species-level detections: classifier benchmarking, false-positive control and validation against standard soundscape indices in an African savanna and an urban zoo
    Embeddings Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Same Question, Different Answers: Auditing Persona-Dependent Variation in Six LLMs on Smoking-Cessation Advice
    Neural Network Retrieval-Augmented Generation (RAG) Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗