StarZero All shows Try the podcast clipper →

continual learning

3 statements across 2 episodes · 1 bullish · 0 bearish · 2 people on the record · first statement Mar 16, 2026 by Madhav Jha · across every show →

Everything said about continual learning, oldest first

Mar 16, 2026 bullish
Disclosure
Emergent agents learn across user sessions using long-term trajectory memory
“We were able to figure out, okay, all the trajectories that we are generating, we can kind of aggregate over time and like sort of build in a long-term memory for the agent, which is very unique in the sense that your agent learns not just from your own sessio…”
Madhav Jha Mar 16, 2026 ▶ 11:45 AI Is Unlocking Millions Of New Builders · Y Combinator
Apr 29, 2026 neutral
Insight
Hassabis: Continual learning, reasoning, and memory are required for AGI
“Continual learning, Long-term reasoning. Some aspects of memory. These are still unsolved. And how to get the systems to be more consistent across the board. I think all of these are going to be required for AGI.”
Demis Hassabis Apr 29, 2026 ▶ 2:49 Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough · Y Combinator
Apr 29, 2026 neutral
Insight
Hassabis: Lack of continual learning holds AI agents back from full tasks
“I think that's one of the not having continual learning currently is one of the things holding back agents from doing full tasks. You know, I think they're really useful for aspects of tasks right now, and you can patch them together and do some really cool th…”
Demis Hassabis Apr 29, 2026 ▶ 12:48 Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough · Y Combinator
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 300 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.

Try the podcast clipper Learn more