Posts tagged with #Grail
Who Teaches the Machine: How Grail is Decentralizing the Most Consequential Phase of AI Development
Pre-training gives AI knowledge. Post-training teaches it judgment: what to refuse, how to reason, what to value. This is the phase where alignment happens, and while decentralized efforts existed, weight sync over public internet made them impractically slow. This week, a research paper from Grail demonstrated that the bandwidth barrier keeping RL post-training centralized was 99% redundant, an artifact of how we were moving data rather than a physical constraint. The implications extend far beyond compression ratios.
The Long Run: What Running Taught Me About Building Decentralized AI (and What Decentralized AI Taught Me About Running)
Three years ago, I wouldn't have believed I'd be training for a half marathon while helping coordinate a decentralized AI protocol. But both journeys, the solo morning miles and the collective effort to democratize artificial intelligence, follow the same philosophy.