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.
Apple has asked Google to host next-gen Siri on its cloud servers after Private Cloud Compute hit just 10 percent utilization, with some servers still sitting in warehouses.
Gemini 3.1 Pro leads ARC-AGI-2, LiveCodeBench, and 11 other benchmarks with 750 million users and 21.5% market share - but developers report stalled responses, leaked thinking tokens, and API outages that make it unusable for production coding and agent workflows.
Google quietly launched Gemini 3.1 Flash-Lite Preview - the first Flash-Lite in the Gemini 3 series - while announcing Gemini 3 Pro will shut down March 9. Developers have six days to migrate.
A plain-English guide to AI reasoning models - what they are, how they think step by step, and when you should actually use one.
Apple launches M5 Pro and M5 Max MacBook Pros with Neural Accelerators in every GPU core, 128GB unified memory, and 614GB/s bandwidth - enough to run Llama 70B on a laptop.
Zenity Labs found that a malicious calendar invite could hijack Perplexity's Comet browser into reading local files and exfiltrating their contents to an attacker-controlled server - no clicks required.
Europe's most-funded AI startup is embedding engineers inside banks and consulting giants, borrowing Palantir's forward-deploy playbook to survive the frontier race.
OpenAI's CEO admits the Pentagon deal was rushed and amends it with new surveillance protections - but legal experts say the fixes don't close the real loopholes.
Nvidia invests $2 billion each in Lumentum and Coherent to develop silicon photonics for next-generation AI factories, signaling that copper interconnects have hit their ceiling.
A hands-on guide to Metal compute programming on Apple Silicon. Covers architecture, unified memory, real code examples in MSL and Swift, and how Metal compares to CUDA.
CUDA Agent uses reinforcement learning trained on actual GPU profiling data to generate optimized CUDA kernels. It beats torch.compile by 2.11x overall and outperforms Claude Opus 4.5 and Gemini 3 Pro by 40 points on the hardest kernels.
A hands-on guide to CUDA programming for developers who know how to code but have never written a GPU kernel. Covers architecture, memory, real code examples, and Metal comparison.
