
ML+Science. Prev: @UniofOxford, @GoldmanSachs. My opinions are my own. đ§đŹ-đŹđ§ sh/ssh
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ALT This also highlights one of my ongoing frustrations about how all of this works. When an AI lab says that my data is "used to improve model performance", what does that actually mean? My 2 favourite hypothetical questions used to be: - If I'm running Codex and one of my API keys accidentally gets consumed in the context, what are the chances that someone else might ask for an API key in the future and get mine back? (I asked someone at OpenAI once and they called this the "regurgitation" problem and assured me they take great pains to prevent that... but not how) - If I brainstorm with ChatGPT about potential new directions for my company, what's the chance that information might be exposed to a competitor in six months' time who asks "what might company X plan to do next"? My new hypothetical: - If I use ChatGPT to help me partially solve a Millennium Prize problem, what are the chances that my work will influence training such that a later model helps someone else solve it first?





























