AI Lurches Toward Recursive Self-Improvement

About this episode

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 are reigniting the debate over AI subsidies, and whether faster model improvements will translate into wider adoption—or run into the same organizational barriers holding businesses back today. Check out How We Got Here Ep. 2 - How We Made the Wrong Things Cheap ⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/how-we-got-here-with-nlw/id6822359990⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/7h55KSq0XwIjdWzwF2zgNV?si=cb76360051ec48a0⁠⁠⁠⁠⁠⁠⁠⁠ Learn More about the AI Champions Program: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.besuper.ai/champions⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Brought to you by: KPMG – New KPMG and UT Austin research shows what separates “AI Amplifiers” from everyone else. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠kpmg.com/us/AIamplifiers⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Granola - The AI notepad for people in back-to-back meetings. Try it free ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠granola.ai/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠