AI systems are now generating review prompts for Linux kernel maintainers and optimizing drug-discovery pipelines, creating closed feedback loops where the AI improves the infrastructure it runs on. The speakers see this shift from theory to practice as potentially frightening.
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So AI is now improving the system it runs on and also the bodies that run it. So the what's happening basically is that recursive improvement has escaped theories. You can say such an interesting question to ask from you as well, that what does it mean when AI start improving Linux and medicines itself? Like 2 parallel world, but at the same time.
I think you talked about recursive self improvement. Recursive improvement is the holy grail of everyone is trying to everyone is trying to improve. And through feedback loops, for example, you talk about Linux kernel maintainers now use AI generated review prompts and think about like AI is optimizing operating systems, they're optimizing drug discovery pipelines, traditional medicine, diagnostics, and it's all working in the loop. So the key, I think the key feedback here is the key learning here is that the feedback loop is closing. And I think that is real scary part.