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.
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.
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.
Claude Opus 4.6 leads multi-needle retrieval at 1M tokens with 76% on MRCR v2, while GPT-5.4 achieves near-perfect single-needle accuracy across its full 1M context.
How to migrate your RAG pipeline from LangChain to LlamaIndex, with side-by-side code examples for document loading, indexing, querying, and agents.
Real costs of self-hosting Llama, Mistral, Qwen, and DeepSeek models on cloud GPUs vs. API access - with break-even analysis and hardware pricing.
Gemini 3.1 Pro leads MCP Atlas at 69.2% for tool coordination while GPT-5.4 tops OSWorld at 75% for computer use, making the best agentic model depend on your task type.
Embedding API costs compared for OpenAI, Cohere, Voyage AI, Google, Mistral, and Jina - normalized to price per million tokens with MTEB quality scores.
How to move your vector search workload from Pinecone to PostgreSQL with pgvector, including schema mapping, data migration, and cost savings of up to 75%.
GPT-5.2 and Claude Opus 4.6 both score 100% on AIME 2025, while Gemini 3.1 Pro leads GPQA Diamond at 94.3% for PhD-level scientific reasoning.
A practical guide to switching from ChatGPT Plus to Claude Pro, covering feature differences, memory transfer, usage limits, and workflow adjustments.
Per-image costs for GPT Image 1.5, FLUX.2, DALL-E 3, Imagen 4, Stable Diffusion 3.5, Midjourney, and Grok Imagine compared at standard resolution.
Nano Banana 2 leads the Chatbot Arena image leaderboard at 1280 Elo, with GPT Image 1.5 and FLUX.2 Pro close behind, each excelling in different use cases.
A practical guide to switching from OpenAI's chat completions to Anthropic's Messages API, covering endpoint mapping, tool use differences, and pricing.
Claude Opus 4.6 leads SWE-bench Verified at 80.8% while Gemini 3.1 Pro dominates LiveCodeBench Pro with 2887 Elo, making the best coding model a matter of workflow.
