The Decoder
Sakana AI's self-improving model gets better at solving and judging, but can't catch its own blind spots

Sakana AI's MASS method lets one language model improve itself by solving tasks, judging results, and refining workflows, reaching a win rate of nearly 70 percent against the base model after two…
Read at The Decoder ↗Related

AsiaJapan’s Sumitomo Bakelite expands China chip packaging materials output amid AI boom SCMP Tech

SiliconSoftBank seeks $100 billion for AI-refined projects from Middle Eastern investors Tom's Hardware AI

SiliconArm & SoftBank: Part 1- Masa comes calling, bearing gifts The Chip Letter

ToolsMarketing ops as code: Automating events from planning to follow-up on GitHub GitHub Copilot Blog

Clearing chat history helps AI agents find better solutions The Decoder
