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.
WordPress.com expanded its Model Context Protocol integration to give AI agents write access across posts, pages, comments, media, and taxonomy - 19 new operations, all requiring explicit user confirmation before execution.
Federal prosecutors indicted Supermicro's co-founder and SVP along with two associates for smuggling $2.5 billion in Nvidia AI accelerator servers to China using fake hardware and stripped serial numbers.
Google confirmed it is testing AI-generated headline rewrites in search results - not pulling from existing page elements, but creating entirely new titles that can change the meaning of articles.
Three new papers expose a gap between what AI models know and what they do - and why that gap is harder to close than anyone assumed.
OpenAI's chief scientist Jakub Pachocki has laid out a two-stage plan to deploy an autonomous AI research intern by September 2026 and a full AI researcher by March 2028, backed by $1.4 trillion in planned compute spending.
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.
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.
Google's Gemini 3.1 Flash-Lite delivers frontier-class benchmarks at a fraction of the cost of Pro - but a sluggish first-token response and preview-only status mean it's not for every workload.
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.
Truffle Security found 2,863 public Google API keys that silently gained access to Gemini AI endpoints, exposing private data and racking up charges with no warning to developers.
OpenAI has finalized a $110 billion funding round backed by Amazon, NVIDIA, and SoftBank, valuing the company at $730 billion pre-money. But $35 billion of Amazon's commitment hinges on an IPO or AGI milestone.
Perplexity launched Computer, a $200-per-month autonomous agent platform that orchestrates 19 AI models from Anthropic, Google, OpenAI, and xAI - staking the company's pivot from search engine to digital labor on infrastructure it rents from potential competitors.
Ollama Cloud extends the popular local LLM runner to the cloud, letting you push models from your laptop and serve them globally. We test latency, cold starts, pricing, and the developer experience against dedicated inference providers.
Groq's LPU chips deliver inference speeds that make GPUs look slow - 1,200+ tokens per second on Llama 4. We benchmark latency, throughput, model availability, and pricing against the GPU-based competition.
OpenRouter routes your API calls to 300+ models across every major provider through a single endpoint. We benchmark its routing, latency overhead, pricing, and reliability against direct API access.
Grok has grown from a chatbot into a full AI platform - SuperGrok tiers, 2M context, Imagine video, Aurora images, DeepSearch, and the Grok 4.20 beta. We review the entire ecosystem to see if xAI's ambition matches its execution.
Perplexity has evolved from an AI search experiment into a $9B company processing 500 million queries per month. We tested Pro, the API, and the new Sonar models to see if it truly beats Google at search.
OpenAI's Atlas combines a Chromium browser with GPT-5.2 agent capabilities. It browses, books, shops, and researches on your behalf - when it works. We tested it for two weeks to find out how often that is.
Google's Antigravity is a cloud-native AI IDE built on Gemini 3 that costs $2.4 billion in infrastructure alone. We benchmark it against Cursor, Claude Code, and GitHub Copilot to see if the investment pays off.
IronClaw is an AI agent framework built by Llion Jones, a co-author of the Transformer paper. It prioritizes sandboxed execution, formal skill verification, and zero-trust architecture. We tested whether security-first means capability-second.
ZeroClaw rewrites OpenClaw's core in Rust, delivering 14x faster skill execution, 90% lower memory usage, and memory safety guarantees. We benchmark it against the original and the competition.
