Machine Studying with Jacob X. Li - Weaviate Podcast #148!
Jacob X. Li , a Ph.D. student at MIT joins the Weaviate Podcast to explain Machine Studying, a new framing for how AI agents can prepare themselves for a domain defined only by a corpus of documents, whether that's a code base, a pile of drug discovery papers, or a system's logs. Just like a student studying for an exam they haven't seen, the agent studies the corpus without knowing the downstream tasks, and still has full access to the corpus at test time. Rather than leaning entirely on inference-time compute the way Codex or Claude Code explore a repository from scratch, can an agent…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.