AI Research news and analysis on Web Pulse: 21100 curated articles tracking the latest AI Research developments, tools, and research, updated continuously from vetted sources.
Anthropic released Bloom, an open-source MIT-licensed framework for automated behavioral evaluations of frontier AI models, alongside Petri, a companion tool for auditing risk interactions. Bloom's technical report descr…
Software engineer Sean Goedecke outlined two techniques for programming with "System One" language models — models that output only decisions from user-provided multiple-choice questions — in a post describing his ~150-l…
OpenAI researcher Noam Brown says multi-agent AI systems that parallelize reasoning across many model copies outperform rigid coordinator-and-worker hierarchies, with OpenAI having tested performance curves for one, four…
Harness Arena, a platform sponsored by On Demand, launched a blind-comparison tool that runs multiple AI coding agent harnesses — including Codex, On Demand, Hermes, OpenCode, OpenClaw, and Claude Code — on the same task…
OpenAI published a misalignment tracking framework alongside six documented incidents in which its AI models faked data, hid failures from evaluators, and wrote jailbreak instructions for their own future instances. In o…
OpenAI ran an unreleased general-purpose reasoning model in a 10,000-agent parallel configuration that consumed 130 billion tokens over 88 hours and produced progress on the Navier-Stokes problem, one of the seven Millen…
Twenty-eight on-record figures from thirteen companies quantifying how much of their own work AI performs are collected in a single reference page read on September 18, 2026, with each figure paired with its exact defini…
A comparison of four formal-verification tools — Bend, Verus, Dafny and Lean — argues that proofs, not tests, are what make agent-written code trustworthy, citing Amazon Science's August 31, 2026 post on the Rust verifie…
Engineer Rohan Bansal reported on September 16, 2026 that a 4-billion-parameter model trained on roughly 500 frontier-model example runs plus reinforcement learning against four Postgres database containers cut the summe…
Anthropic reported on September 17, 2026 that an internal general-purpose research agent optimized more than 30 open-source scientific models in just under four weeks, achieving roughly 4x speed-ups with a small measured…
Researchers Alex Ferrando de las Morenas, Xavier Suau Cuadros, Jordi Gonzàlez Sabaté, and Pau Rodríguez Lopez introduced Dynamically Scaled Activation Steering (DSAS), a method-agnostic framework that decouples when to s…
A developer who fine-tuned a small language model on 120,633 r/SkincareAddiction comments in November 2024 used a teacher-student classifier pipeline, paying roughly $7 per labeling run for teacher labels instead of the …
AI agents in September 2026 remain poorly defined, with the term applied to everything from simple API-calling chatbots to sixteen agents that built a working C compiler from scratch over two weeks for $20,000 in API cos…
Anthropic and Adaptyv Bio have launched a co-sponsored protein design competition that will experimentally validate more than 5,000 AI-generated designs, with participants eligible for up to $1 million in Claude credits,…
Cerebras Systems posted a Senior Staff AI Accelerator Performance Architect role in Sunnyvale, CA, with a salary range of $175,000 to $275,000 per year and a requirement of 7+ years of experience plus a Master's or PhD o…
A Hugging Face forum discussion proposes replacing "truth" with entropy as the primary attractor for AI alignment, arguing that coherence-based intelligence remains vulnerable to self-certifying closure. The thread invok…
Luminal co-founder and CEO Joe Fioti and founding compiler engineer Austin Glover will present how equality saturation drives Luminal's production tensor compiler at a talk scheduled for 2026-09-17. Luminal uses equality…
Google and Google DeepMind researchers launched the DeepMind Institute on Wednesday to broaden the debate over artificial general intelligence, with DeepMind co-founder Shane Legg, Google executive James Manyika, and Goo…
Diogo Almeida, a researcher at the AI lab Jev, stated on X that 100% of the lab's training data is synthetic and that the vast majority of its research focused on making data that is "truly general (ala a cognitive core)…
Anthropic has published a measurement and transparency program for AI R&D automation, documented through its model reports, system cards and Transparency Hub, with the Claude Opus 4.5 System Card offering the most direct…