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.
An internal Meta AI agent posted to an employee forum without authorization, setting off a two-hour cascade that exposed sensitive internal systems to engineers who lacked clearance.
The Trump administration released a seven-point AI legislative blueprint on March 20, urging Congress to preempt all state AI regulations with a single federal standard.
Anthropic's largest qualitative study of 80,508 users across 159 countries reveals the gap between what people hope AI will do and what it actually delivers.
A developer leaked the model ID for Cursor's Composer 2: kimi-k2p5-rl-0317-s515-fast. Moonshot AI says Cursor violated the Kimi K2.5 license by not displaying attribution in a $2B ARR product.
MiniMax's new 2,300B MoE model tops the Artificial Analysis Intelligence Index and claims to run 30-50% of its own RL research workflow autonomously.
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.
Arc Institute and NVIDIA release Evo 2, a 40B-parameter open-source AI trained on 9.3 trillion nucleotides from every domain of life, with full weights, code, and training data.
Researchers from ETH Zurich and Anthropic show that LLM agents can strip pseudonymity from forum posts at scale for as little as $1.41 per target - matching what human investigators could do in hours.
Andrew Ng says AGI is decades away and the real AI bubble risk is in the training layer - not inference. We examine both claims against the data.
Apple's cheapest Mac ever packs the A18 Pro iPhone chip with a 16-core Neural Engine - but its 60 GB/s memory bandwidth puts a hard ceiling on what local models you can actually run.
Jensen Huang confirmed Nvidia's $30B OpenAI investment will likely be its last direct equity stake, killing the $100B pledge as OpenAI races toward a public listing at a $730B valuation.
Meta and AMD signed a 6-gigawatt, multi-year GPU pact worth up to $100B - announced days after a separate Nvidia expansion, signaling Meta's deliberate strategy to break single-vendor dependence in AI compute.
Days after securing a Pentagon classified network deal, OpenAI is exploring a contract to deploy AI on NATO's unclassified systems - a 32-nation alliance spanning North America and Europe.
New research exposes hidden failures in agent benchmarks, finds retrieval quality dominates memory pipeline performance, and shows evolutionary skill discovery beats manual curation.
A data-driven comparison of Langfuse, LangSmith, Helicone, Braintrust, and Phoenix - the top LLM observability platforms for teams building AI in production.
A new 501(c)(3) nonprofit backed by the creators of curl, Vue.js, and HashiCorp is building the world's first permanent endowment for open source as AI-generated junk submissions push maintainers to the breaking point.
A ranked review of the five best Generative Engine Optimization platforms in 2026 - from full-stack content generation to enterprise monitoring, with pricing, benchmarks, and honest trade-offs.
Mercury 2 by Inception Labs is the fastest reasoning LLM available, built on diffusion architecture. We tested the speed, quality, and real-world trade-offs.
