John Fletcher (𝔦, 𝔦)
@Dr_JohnFletcher • 4,543 subscribers
Chief Scientist @ The Innovation Game (TIG) @tigfoundation | Cambridge PhD in Maths + Theoretical Physics | SciFi | DeAI | ❤️ { Maths, Science, Computers }
Videos
We demonstrated our AI-agent framework for massively collaborative algorithm discovery for the first time yesterday Using the TIG Vehicle Routing Challenge (collaboration with Steven Diamond) The TIG team had the pleasure of presenting to some of the biggest players in the AI-algorithm discovery space They learned they can mine for algorithms, monetise the outputs through TIG, while keeping the algorithms open for others to build on and improve Minds were blown Details to follow
John Fletcher (𝔦, 𝔦)77,692 Aufrufe • vor 1 Monat
Andrej, This sounds extremely useful, and I think it might be even more significant than it first appears. What you describe is not just a knowledge base for information. The structure of the wiki, the queries you file back, etc, encode *how* you do research: which questions to ask, which connections matter, what's worth pursuing. That's “know-how” (in the sense of Michael Polanyi). This sort of knowledge is, currently, overwhelmingly absent from training data, because it was never written down (since there was no point). Now there is, because it significantly improves the AIs performance. But notice what's happening. You propose to build the most efficient mechanism ever devised for making tacit expert know-how / methodology explicit and machine-readable, and then transmitting it, via API, to a third-party model provider. Every query against the wiki is a reasoning trace: see attached video clip. The compiled wiki itself is a structured map of your research process. This is the mechanism described here: Expert know-how is being externalised and captured through ordinary productive use of AI tools. The user gets a better tool. The platform gets a transferable problem-solving strategy. The fact that this works so well could, in a sense, be the problem: the better it works, the more indispensable it becomes, the more know-how flows out, and, realistically, the less choice people have *not* to use it. Your instinct that "there is room here for an incredible new product" is right. But whoever builds it will be sitting on the highest-fidelity capture mechanism for expert know-how ever constructed. The question is: is the data subject to a “data network effect”, by which I mean, the kind of “data flywheel” which gave Google a 25 year monopoly over search? If so, you might be building not only more most powerful tool humanity has ever possessed, but this power might end up in the hands of a single entity. It would be great to hear your thoughts around this.
John Fletcher (𝔦, 𝔦)39,755 Aufrufe • vor 2 Monaten
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