AI Lurches Toward Recursive Self-Improvement
AI is getting better at building better AI—but how close are we to recursive self-improvement? New MIT research shows a frontier model directly editing a smaller model’s weights, while Anthropic signals accelerating AI-led research. NLW explores what these developments actually demonstrate, why GrokBot’s rising costs…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
More from The AI Daily Brief: Artificial Intelligence News and Analysis
See all episodes →
67%Is Kimi K3 Really Fable Class?
66%What the Heck is Graph Engineering?
66%AI Optimism vs. AI Pessimism
Similar episodes from other shows
More like The AI Daily Brief: Artificial Intelligence News and Analysis →
Open AI Needs To Pause?
Are We About to Lose Control of AI? | AI Reality Check
When AI Cannibalizes Its Data
23%Ep 875: RSI Explained: When AI Starts Improving Itself and What It Means (Replay)
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.