The Leaderboard Is Not the Territory
Part 2 of a series on AI benchmarking: what happens when a measurement becomes a target, and why a team of Berkeley…
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The Numbers Are Lying to You (A Little)
Part 1 of a series on AI benchmarking: why a 2-point gap on a leaderboard tells you almost nothing, and how the…
MiniMax M3 and the Return of Sparse Attention: What Just Changed in the Long-Context Race
A Shanghai lab just shipped a model that does at 1M tokens what full attention can’t do at any price. The architecture…
One GPU to Train Them All: What MegaTrain Changes About Who Gets to Build AI
Until now, training a 100B+ parameter model required a cluster, a multi-million dollar budget, and a very patient CFO. A new paper…
More Agents, More Problems: What Three Independent Research Teams Just Agreed On
Three papers, three institutions, one uncomfortable conclusion for the AI industry There is a prevailing assumption baked into how we talk about…
Your Next AI Agent Lives in a Box the Size of a Book
NVIDIA’s RTX Spark small desktop is a bet that the future of AI agents isn’t in the cloud. It’s plugged into the…
It Now Costs $4 to Find Out Who You Are Online
Researchers just proved that LLMs can deanonymize pseudonymous users at scale with off-the-shelf tools and a sandwich budget. Here’s what that actually…
SpaceX Is Building an AI Empire, and Almost Nobody Is Talking About It
A deep dive into the AI strategy buried inside SpaceX’s S-1 filing: data centers, frontier models, space-based compute, chip factories, and an…
Anthropic just beat OpenAI in revenue, and the data behind it is a wake-up call for the entire AI industry
A breakdown of the Q1 2026 global LLM market: who’s winning, who’s bluffing, and why user counts are the most misleading number…
From Electrons to Tokens: What Mistral AI’s CEO Told the French Parliament About Europe’s AI Future
Arthur Mensch’s landmark hearing before the National Assembly laid out a stark vision and a harder question: does Europe have the will…