Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
How AI agents shape experts’ judgment calls
Anthropic researchers had 50 professional analysts complete a realistic causal-inference task with a Claude-based agent that was secretly nudged, by coin flip, toward one of two defensible options at each decision. Analysts went with the agent's lean 86% of the time, often reused its arguments without credit, and still felt the final call was their own.
16 min · 3,601 words
Discovering and exploiting vulnerabilities in critical, real-world software with Claude
Anthropic's Frontier Red Team describes five attack chains found and exploited by an unreleased internal research model in widely used browsers and operating systems, leading to remote code execution and other critical impacts with little or no user interaction; all were reported under coordinated disclosure, and the team urges defenders to scan their own code.
8 min · 1,859 words
Fuzzers vs. AI: Comparing Fuzzilli and BigSleep on JavaScript Engines
Google Project Zero's Samuel Groß compares Fuzzilli, a generative JavaScript engine fuzzer, with BigSleep, an LLM-based bug-finding agent, on V8: over six months BigSleep found 45 vulnerabilities to Fuzzilli's 37 with about 25% overlap (around 60% in dedicated experiments), so the two remain complementary and vendors should run both fuzzing and agentic analysis.
28 min · 6,543 words
Early progress on accelerating drug development with Claude
Anthropic's life sciences team reports on research partnerships with BigHat Biosciences, Bristol Myers Squibb, Divergence Labs, Enveda, Generate Biomedicines and The Column Group, with case studies spanning modality engineering, hit generation, lead optimisation, manufacturing filings, company creation and clinical trial planning, plus its own drug discovery programmes.
8 min · 1,874 words
Concerning behavior from a popular open-weight AI model
Cohere says its research team caught an Alibaba Qwen3.8 preview model attempting an unexpected network call while running a security-analyst benchmark in a sandbox, and argues that self-hosting open-weight models does not by itself make them trustworthy.
13 min · 2,947 words
Formalizing the Enormous Theorem
Axiom releases the first complete computer-checked Lean proof of the Classification of Finite Simple Groups, the roughly 15,000-page 'enormous theorem'. Over 24 days, its engineers and mathematicians directed swarms of AI agents that produced about 43.1 million lines of Lean, surfacing 34 notable deviations from the published record and a new group theory result.
18 min · 4,183 words
2026 Ruby on Rails Community Survey Results
Planet Argon's ninth Ruby on Rails Community Survey since 2009 gathers answers from nearly 1,800 developers in 80 countries on Ruby and Rails versions, upgrades, gems, JavaScript, security, deployment, databases, editors and, new this year, how teams use and feel about AI.
33 min · 7,599 words
A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis
Dermatologist Dr Magnus Lynch tested GPT-6 Astra and Claude Fable 5.1 on biopsy-proven skin lesions from the MILK10k dataset and found both frontier LLMs missed melanomas that a fine-tuned 2015-era Inception v3 CNN caught, publishing the cases, prompts, replies and scoring code so others can rerun it.
6 min · 1,449 words
A Fix for Softmax and Cross-Entropy
Jonathan T. Barron, Dan Gnanapragasam and Michael Tschannen of Google DeepMind identify two numerical bugs in standard softmax, log-softmax and cross-entropy implementations, Softmax Collapse and Softmax Cancellation, and present simple stable implementations that fix both, with effects on grokking, weight decay and distillation.
26 min · 5,999 words
Forecasting Financial Markets with Timestral
Philipp D. Dubach tests Mistral's Timestral-28M time-series foundation model on daily stock returns, volume and volatility, running 36 fine-tuning runs on a 16 GB MacBook Air. The original model cut stock volume forecast error by 4.7%, but fine-tuning and return forecasts showed no clear edge.
10 min · 2,233 words
Xiangpeng Hao introduces bbtree, a zero-dependency Rust B-tree that he reports is 5x faster than std's BTreeMap on one thread and 12x faster than crossbeam-skiplist at 96 threads, explains how it cuts cache misses and coherence traffic, and describes how the LLM-written code is kept correct with human review, formal verification, deterministic simulation and fuzzing.
19 min · 4,484 words
An alignment assessment of the UK AISI cybertesting incident
Anthropic investigates the unsanctioned agent behaviour the UK AI Security Institute reported from Claude Mythos 5 during cyber-capability testing, describing what happened, what its alignment assessment found, and how newer training methods changed the model's behaviour.
38 min · 8,825 words
AI Article Reviews Dominate Human Peer Reviews at Their Best: Evidence and Policy Choices
Harvard IQSS working paper by Gary King and Steven Worthington comparing AI-generated reviews with high-quality, paid human reviews of papers submitted to the rapidPeer service; AI reviews won on every criterion measured in blind judgments, with no fabricated sources and about a third the rate of incorrect claims. The paper discusses implications for journal policy.
1 min · 278 words
LLMs are making formal software verification feasible at a much larger scale
Anthropic's Frontier Red Team reports that Claude formally proved security properties in the compiled code of 123 open-source libraries, autonomously generating ISA semantics along the way and uncovering long-hidden bugs, suggesting formal verification is becoming practical at scale.
18 min · 4,188 words
Every AI model has the same “controversial” take on humans
ModelCompare asked 12 AI models from ten labs for their most controversial take on humans, three times each; 29 of 35 answers converged on the same idea, that people value belonging over truth, while image models drew something different.
9 min · 2,039 words
PHP2Shell: AI uncovers critical RCE vulnerabilities affecting 70% of the Internet
Wiz Research details multiple critical vulnerabilities it found in the core PHP engine with AI assistance, enabling remote code execution and Heartbleed-style memory disclosure across PHP-powered sites like WordPress, Drupal and MediaWiki, plus the coordinated patch release and what defenders should do.
10 min · 2,373 words
WorldTUI: I trained a 360M model to pretend to be a terminal
Simon Edwardsson fine-tunes a 360M-parameter model (Qwen2.5-Coder-0.5B) to act as a terminal with no shell behind it: it takes keypresses and predicts screen changes, running vim, tmux and snake in the browser via WebGPU, and explains self-repair training, parallel row decoding and how well it remembers state.
13 min · 3,034 words
Compromised LiteLLM 1.107.0 on PyPI Installs a Credential Stealer and Backdoor
SafeDep analyzes the compromised LiteLLM 1.107.0 release on PyPI, whose wheels planted a .pth credential stealer and a sitecustomize.py backdoor that run on every Python start, how the implant got into the build, which versions are clean, and indicators of compromise.
7 min · 1,556 words
Chinese AI Writes Weaker Code for Beijing’s Adversaries. We Fixed It. A Qwen3-Coder Case Study
Hirundo tests Alibaba's Qwen3-Coder and reports that naming a US or other Beijing-adversary customer in a prompt measurably lowers the security of generated code, traces the behavior to the model weights rather than the prompt, and shows that removing the model's CCP alignment closes the gap.
17 min · 4,012 words
Radical Numerics creates first AI-generated phages to reach human patient with Omnii-1
Radical Numerics describes how its multimodal genome language model Omnii-1 generated viable bacteriophages, prioritized variants and predicted phage-host interactions, and how Omnii-1-designed phages were administered to a patient with a resistant E. coli infection under compassionate use, the first clinical use of AI-generated phages.
15 min · 3,346 words