A new USCC report finds Chinese open-source models now dominate US AI startup stacks, with Qwen surpassing Llama in global downloads and Chinese models taking 41% of all Hugging Face downloads.
Three arXiv papers push AI agents further: metacognitive self-modification, milestone-based RL lifting Gemma3-12B from 6% to 43% on WebArena-Lite, and hybrid workflows cutting inference costs 19x.
Terence Tao argues AI has cut the cost of mathematical idea generation to near zero, but verification remains as hard as ever - and our existing academic infrastructure wasn't built for what comes next.
OpenAI is in advanced talks to buy up to 50 gigawatts of fusion energy from Helion, the startup where Sam Altman holds a personal stake worth an estimated $375 million.
Anthropic launched the Claude Certified Architect exam and invested $100M in its Partner Network - free for the first 5,000 partner employees, $99 after. Accenture is training 30,000 people.
Krafton's CEO used ChatGPT to design 'Project X' - a corporate takeover strategy to avoid paying Subnautica creators a $250M bonus. A Delaware judge reversed everything and called it out by name.
An exclusive TechCrunch tour of Amazon's Trainium chip lab reveals how AWS is training Claude for Anthropic and now holds an $138B commitment from OpenAI.
NVIDIA's new Nemotron-Cascade-2-30B-A3B activates just 3B parameters per token, runs on a single RTX 4090, and outscores NVIDIA's own 120B model on coding and math benchmarks.
Mistral's new open-source Lean 4 agent scores higher than Claude Sonnet on formal proofs at one-fifteenth the cost, raising the bar for trustworthy AI code generation.
A plain-English guide to how ChatGPT, Claude, and Gemini remember you - what gets stored, how to manage it, and what to keep private.
Every way to stay up to date with Awesome Agents - website, podcast on Spotify and Apple, social media on X, Bluesky, LinkedIn, YouTube, and RSS feeds.
A practical, step-by-step guide to using ChatGPT, Claude, and other AI tools as a personal tutor to learn any skill faster - no coding required.
Microsoft's Phi-4 reasoning family delivers near-70B-class math performance in a 14B open-weight package, but the overthinking problem is real and the use case is narrower than the benchmarks suggest.
LTX-2.3 is a 22-billion-parameter open-source video and audio generation model from Lightricks that rivals closed commercial tools - at zero cloud cost.
Mistral Small 4 packs reasoning, vision, and agentic coding into a 119B MoE under Apache 2.0 - a serious small-model contender at a price that's hard to ignore.
Rankings of the best AI models and agent frameworks on computer use benchmarks - OSWorld, OSWorld-Verified, and ScreenSpot-Pro - updated March 2026.
Rankings of AI models by safety metrics including refusal rates, jailbreak resistance, bias scores, and truthfulness across major benchmarks.
Rankings of the best text-to-speech and speech-to-text AI models by naturalness, accuracy, latency, and pricing.
Anthropic's mid-tier model matches Opus 4.6 on computer use, leads all models on office productivity tasks, and costs five times less than the flagship at $3/$15 per million tokens.
Cohere Command A Vision is a 112B multimodal model that leads on document and OCR benchmarks, beating GPT-4.1 across seven visual understanding tasks.
Mistral AI's unified MoE model - 119B total parameters, 6B active per token, 128 experts, 256K context, configurable reasoning, Apache 2.0 license.
Head-to-head comparison of ChatGPT, Claude, and Gemini in 2026. Pricing, strengths, weaknesses, and best use cases for each AI assistant.
A beginner-friendly explanation of AI agents, covering what makes them different from chatbots, real-world examples, key frameworks, and the growing agent economy.
Complete MMLU-Pro benchmark rankings measuring graduate-level knowledge across 14 subjects with 12,000 questions and 10 answer options per question.
Z.ai releases GLM-5, a 744B parameter open-source Mixture-of-Experts model purpose-built for agentic tasks, scoring 77.8% on SWE-bench Verified and 56.2% on Terminal-Bench 2.0.
A thorough review of Cursor, the VS Code fork that has become the gold standard for AI-assisted coding with Composer mode, full project understanding, and multi-file edits.
Compare the best tools for running large language models locally: Ollama, LM Studio, llama.cpp, GPT4All, and LocalAI. Includes hardware requirements and model recommendations.
OpenAI begins testing advertisements in ChatGPT for Free and Go tier users in the US, while Plus, Pro, Business, Enterprise, and Education plans remain ad-free.
A thorough review of DeepSeek V3.2, the 671B parameter MoE model that delivers frontier-level performance at dramatically lower cost with an MIT license.
A practical tutorial on running open-source language models locally using Ollama, llama.cpp, and LM Studio, with hardware requirements and model recommendations.
A hands-on review of Anthropic's Claude Code CLI, a terminal-first AI coding assistant that excels at large refactors, architecture work, and complex multi-file projects.
Rankings of the best AI image generation models including GPT Image 1.5, Gemini 3 Pro, Midjourney v7, FLUX 2 Max, Stable Diffusion 3.5, and Ideogram 2.0 across text rendering, photorealism, and artistic quality.
Compare the best AI-powered search engines of 2026: Perplexity AI, Google AI Overviews, Bing Copilot, You.com, Phind, and Kagi. How AI search differs from traditional search.
