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 is reportedly planning to integrate OpenAI's GPT-5 into Apple Intelligence across iOS 26, iPadOS 26, and macOS Tahoe, with major implications for Siri and the broader Apple AI strategy.
A beginner's introduction to AI image generation covering Midjourney, DALL-E, Stable Diffusion, and FLUX, with practical prompt tips and ethical considerations.
A comprehensive review of GPT-5.2, OpenAI's flagship model with three modes, 400K context, and record-breaking benchmarks across reasoning, coding, and multimodal tasks.
Compare the best AI writing tools of 2026: ChatGPT, Claude, Gemini, Jasper, Grammarly, Notion AI, and Copy.ai. What AI writing does well and where humans still lead.
Practical tips and techniques for writing better AI prompts, covering specificity, context, few-shot examples, personas, and common mistakes to avoid.
Rankings of AI models by cost efficiency, comparing performance per dollar across frontier and budget models. See which models deliver GPT-4 level performance at 1/100th the cost.
DeepSeek releases V3.2 under MIT license with 671B MoE architecture, matching GPT-5 at one-tenth the cost and achieving gold-medal performance on IMO and IOI competitions.
A comprehensive review of Meta's Llama 4 Maverick, a 400B parameter open-weight MoE model with 128 experts, 1M context, and multimodal capabilities.
Overview of the best AI video generators in 2026: Sora, Veo, Runway Gen-3, Pika, and Kling. Current capabilities, limitations, pricing, and practical use cases.
An accessible guide to AI safety and alignment, covering hallucinations, bias, misuse risks, and how major AI companies approach building safer systems.
Analysis of how the MMLU benchmark gap between open-source and proprietary AI narrowed from 17.5 to 0.3 percentage points in a single year, reshaping the industry landscape.
A comprehensive review of xAI's Grok 4, the first model to score 50% on Humanity's Last Exam, featuring Heavy and Coding variants with built-in tool use.
