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Hand-picked stories from our editorial team. The most important AI developments you need to know.
OriginalThe Race to Build AI That Can Actually Use a Computer
Anthropic's computer use, OpenAI's CUA, Google's Project Mariner. Three different approaches to the same wild idea: an AI that can see your screen, move your mouse, and click buttons. Here's who's ahead and what actually works.
OriginalInside DeepSeek: How a Chinese Hedge Fund Built the World's Most Efficient AI Lab
160 employees. A $6 million training bill. Models that compete with labs spending 100x more. DeepSeek's origin story, from Liang Wenfeng's hedge fund to the 'Sputnik moment' that wiped $600 billion off Nvidia's market cap.
OriginalThe 5 AI Products People Actually Use (And the 50 They Don't)
ChatGPT, GitHub Copilot, Midjourney, Perplexity, Claude. Then the graveyard. After $100 billion in AI startup funding, we can count the products with real retention on one hand. Here's what separates winners from the fundraise-and-die crowd.
OriginalAI Hiring Is Broken: What 1,000 Job Postings Tell Us About the Market
We analyzed over 1,000 AI job postings across LinkedIn, Greenhouse, and Lever. The gap between what companies say they want and what they actually need has never been wider. Here's the data.
OriginalMCP Is Winning. Here's the Technical Breakdown of Why.
Anthropic's Model Context Protocol launched in November 2024. Fourteen months later, OpenAI, Google, Microsoft, and practically everyone else has adopted it. Here's exactly how MCP works, what problems it solves, and why it's becoming the USB-C of AI agents.
OriginalThe Open Source AI Definition War: Who Gets to Decide What 'Open' Means?
Meta calls Llama open source. The Open Source Initiative says it isn't. This isn't a semantic debate. It's a fight that will determine who controls AI's future, who gets locked out, and whether 'open' means anything at all.
OriginalSmall Language Models Are the Sleeper Hit of 2026
While everyone obsesses over GPT-5, the real revolution is happening at the other end of the scale. Microsoft's Phi-4, Google's Gemma 3, Meta's smaller Llamas, and Apple's on-device models are proving that smaller can be smarter — and a lot cheaper.
OriginalThe AI Agent Gold Rush: Every Major Company's Agent Strategy, Ranked
OpenAI, Anthropic, Google, Microsoft, Salesforce, Amazon — they're all betting billions on AI agents. But their strategies couldn't be more different. Here's who's actually winning, who's faking it, and who's building something that might matter in five years.