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by Ukv
2 days ago
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ziofill's claim was that "A direction [in an LLM's embedding vector space] that is 99.99% accurate" is fine for practical purposes, not that 99.99% is fine for the chance of any given bite of food not killing you or similar hypotheticals - you'd want a few more 9s there. To justify relevance of inability to correctly answer liars-paradox-type questions ("what won't your response to this be?"), the article suggested the way LLMs are used in practice is dependant on them being entirely accurate truth oracles: > > as a truth-oracle [...] is how these things will be used practically by the vast majority of people. They are already replacing standard Google search results But for the replacement to make sense they just need to be more accurate than what they're replacing (ignoring other factors like convenience and cost) - in this case standard Google search results and knowledge box which were obviously not 100.0% accurate. |
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Please think carefully and then try to tell me whether or not some Trump-administration government agency would not in the "99.99% reliable" circumstance just plug an LLM into the nukes and funnel worldstate input into it and have it make the decision "is it time to fire the nukes?" over and over again each second.
I argue that that would require far more nines than even "will food turn to poison in my mouth" would.