Matthew Berman: 'J-Space' — A New Claim About How AI Actually Works

Matthew Berman (YouTube)·medium signal

Berman walks through 'J-Space,' a claimed interpretability advance in how LLMs represent concepts internally. Interpretability is builder-relevant for debugging and steering models, though the framing is single-source and should be treated as a hypothesis pending primary confirmation.