Podbit · Moonshots with Peter Diamandis
Dave Blundin argues recursive self-improvement doesn't require Einstein-level AI — a model just needs to improve its own kernel by 10x. That threshold was crossed earlier than Fable 5: it was Opus 4.8. Chinese labs used that spark to build KIMI K3. When we look back in history, right around Opus 4.8 will be the moment the flame was lit.
Where this was said
At 23:35 · chapter starts 21:20
Dave Blundin lays out his RSI argument with unusual specificity: recursive self-improvement doesn't require Einstein-level AI — a model just needs to be able to improve its own kernel by 10x, which nobody even perceives as 'true AGI' [1] — Dave Blundin "Dave Blundin argues recursive self-improvement doesn't require Einstein-level AI — a model just needs to improve its own kernel by 10x. Tha…" 23:35 . That threshold was crossed earlier than Fable 5; it was Opus 4.8. Chinese labs could use Opus 4.8 to create KIMI K3. The 10x faster model will be a genius-level AI, and that genius will boost its speed again — flame to fire to sun. Peter Diamandis then asks the direct policy question: will the US government move to constrain Chinese open-weight models from being used in the US? Blundin is skeptical they'll move fast enough before the weights drop in two weeks, predicting White House deliberations are happening in real-time. Salim Ismail connects this to the law of accelerating returns, tracing the history from vacuum tubes to transistors to integrated circuits as nested S-curves — each architecture used to design the next, each reinforcing loop accelerating the collective, and none of it stoppable.
At the World AI Conference in Shanghai, Xi Jinping declared China will fully back open-source AI as a public good for humanity with minimal regulation. Model approval times have dropped from 60 days to one week. China is deliberately exporting a Chinese-educated AI brain into every critical system on Earth — a soft power strategy the West has no answer to.
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