Reasoning Models
Reasoning models are a new class of AI that "thinks" before answering: spending extra compute at inference time, building chains of thought and solving problems ordinary LLMs cannot — math, code, science. They kicked off the test-time-compute race. Here is all our coverage of reasoning models: releases, benchmarks (GPQA, ARC-AGI), limits and cost.
Anthropic and ETH Zurich: a long CLAUDE.md worsens agent performance and raises costs
A study by ETH Zurich across 138 repositories found that long CLAUDE.md and AGENTS.md files often reduce coding-agent success rates while also increasing token…
DeepSeek and GLM-5 beat Yandex in a test of 34 AI models for managers without VPN
The authors of a large test of management scenarios found that DeepSeek V3.2 and GLM-5, available in Russia without VPN, are markedly stronger than Yandex's…
Nvidia unveiled the first open dataset and foundation AI models for medical robots
Nvidia and partners on Hugging Face released the first large open dataset for medical robots and two foundation models for surgery, simulation, and future autonomy.
OpenAI introduces GPT-5.4 mini and nano for coding, sub-agents, and large-scale AI workloads
Harvard: AI more accurate than doctors at emergency room triage
Claude Code helped build a working 46,000-line CRM system — and there’s already a guide
OpenAI gains freedom from Azure: Microsoft rewrites contract with key partner
OpenAI is devoting its core resources to building a fully autonomous AI researcher
The company is restructuring its research agenda around an autonomous agent that will be able to conduct multi-day research on its own, with the first “AI intern”…
OpenAI, Google, and Tesla set the week's agenda: GPT-5.4 mini, AI Studio, and Terafab
OpenAI opened GPT-5.4 mini to broad access, Google turned AI Studio into an app-building environment, and Tesla promised its own $20–25 billion chip factory.
Perplexity turned AI search into an agent that builds Excel files and checks data on its own
AI agents vs RAG: how ReAct works and why multi-agent systems are needed
Habr AI Demonstrates How Reflex Architecture for LLM-Agents Eliminates Lag Down to 60 FPS
AWS and Artificial Genius demonstrated a way to reduce LLM hallucinations in finance and medicine
MolmoWeb-4B by Ai2: A Web Agent That Sees Websites Like Humans, Without HTML Parsing
Ai2 released MolmoWeb-4B — an open-source multimodal web agent that controls a browser using only screenshots, without access to HTML or DOM trees.
Why Language Models Make Mistakes Even When They Know the Right Answer: Breaking Down LLM Limitations
TechWill researcher Valery Shabashev analyzed why LLMs can make mistakes even when they have the correct answer: the problem isn't in knowledge, but in reasoning…