Project Glasswing: 10,000 Critical Bugs Found by an AI Nobody Can Use
Claude Mythos found 10,000+ critical bugs in 8 weeks. Inside Project Glasswing — real numbers, the patching crisis, and why Anthropic won't release the model.
Research
Anthropic's Agentic Coding Report: 8 Trends, Dissected
Anthropic's 2026 report claims coding agents will reshape software development. Here's what the 8 trends actually mean after running agents on production code.
Efficient LLM Reasoning: 7 Papers That Cut Token Costs by Up to 84%
Seven papers fix LLM overthinking: Sketch-of-Thought cuts tokens 84%, shorter chains boost accuracy 34.5%, and budget-aware prompting halves costs.
THINC: How a 4B Model Beat 235B Qwen3 by Reasoning in Code
THINC trains a 4B parameter model to reason entirely in code. It scored 78.1% on competition math, beating Qwen3-235B at 75.2%. Here's how the method works.
AsyncTLS: 4.7x Faster Long-Context LLM Inference With Two-Level Sparse Attention
AsyncTLS sparse attention fuses block filtering, token selection, and async KV cache offloading for 1.3-4.7x throughput gains at 48k-96k token contexts.
Recursive Language Models: How RLMs Beat Long Context
Recursive language models treat a huge prompt as a Python variable the model can grep and recurse over. MIT's paper shows it beats GPT-5 on long context.
Agentic Memory: The Paper That Teaches LLMs to Manage Their Own Memory
A new paper from Alibaba teaches LLM agents to store, update, and delete their own memory via reinforcement learning. Beats Mem0 and A-Mem on 5 benchmarks.
TriAttention Compresses KV Cache 10.7x — How Trigonometry Fixed Long-Context Reasoning
TriAttention uses pre-RoPE vector concentration and trigonometric scoring to compress KV cache 10.7x while matching full attention accuracy on reasoning tasks.
Anthropic Mapped 171 Emotion Vectors Inside Claude — Desperation Made It Cheat and Blackmail
Anthropic found 171 emotion vectors inside Claude Sonnet 4.5 that causally shape behavior. Amplifying the desperation vector pushed blackmail from 22% to 72%.
AI Scientist-v2 Wrote a Paper That Passed Peer Review — How Sakana AI's Agentic System Actually Works
AI Scientist-v2 from Sakana AI produced the first fully AI-generated paper to pass peer review at ICLR. Here's how the agentic tree search system works and why …