Corrupt Agent Scores, Memory Bottlenecks, Skill Evolution
New research exposes hidden failures in agent benchmarks, finds retrieval quality dominates memory pipeline performance, and shows evolutionary skill discovery beats manual curation.
Articles Tagged "Research"
Knuth Names Paper After Claude That Solved His Math Conjecture
Claude Opus 4.6 solved a directed graph decomposition conjecture Knuth had worked on for weeks in 31 guided explorations over roughly an hour. Knuth wrote the formal proof himself and titled the paper 'Claude's Cycles.'
OpenAI's Head of Post-Training Max Schwarzer Joins Anthropic
Max Schwarzer, VP of Research and Head of Post-Training at OpenAI, leaves after a year leading the team that shipped GPT-5, 5.1, 5.2, and 5.3-Codex to return to RL research at Anthropic.
Cheaper Thinking, Web Traps, Denoised Agents
Three new papers tackle reasoning efficiency, agent vulnerability to web misinformation, and error correction in multi-step AI workflows.
Speech Turing Tests, Smart Routing, Pseudocode Agents
New research reveals no speech AI passes a Turing test, adaptive routing slashes LLM costs 82%, and pseudocode planning transforms agent reliability.
Anthropic: Better AI Output Means Worse Oversight
Anthropic's AI Fluency Index reveals that when Claude produces polished code and documents, users question its reasoning 5.6 times less often.
AI Research Roundup: Agent Behavioral Contracts, Autonomous Memory, and Certified Circuits
Three new papers tackle agent reliability through formal contracts, active knowledge acquisition for memory systems, and provably stable mechanistic interpretability.
NotebookLM Review: Google's AI Research Assistant That Accidentally Invented a New Medium
NotebookLM went viral for turning documents into AI podcasts, but the real story is whether Google has built a genuinely useful research tool or just a clever party trick. We spent a month finding out.
Today in AI Research: Stable Agent Training, Compound AI Limits, and the Algorithm Trust Paradox
New papers tackle training collapse in agentic RL with a unified stabilization recipe, reveal when querying multiple models actually helps, and expose a paradox where LLMs claim to trust humans but bet on algorithms.
How to Use AI Deep Research Tools - A Beginner's Complete Guide
Learn how to use deep research features in ChatGPT, Gemini, Claude, and Perplexity to get comprehensive, cited reports on any topic in minutes.
Google DeepMind Uses AlphaEvolve to Discover Entirely New Game Theory Algorithms
AlphaEvolve evolved two novel game theory algorithms - VAD-CFR and SHOR-PSRO - that outperform human-designed baselines across 11 games, using mechanisms no researcher would have designed.
Programmatic GUI Agents, Faithful Chain-of-Thought, and the 1% KV Cache
Today's arXiv picks: a state-machine framework that makes GUI agents 12x cheaper, a training method that forces chain-of-thought to be honest, and a KV cache system that matches full quality at 1% the memory.
