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We’ve known since Kant and Hare that morality is largely a question of logic and universalizability, multiplied by a huge number of facts, which makes it a problem of computation. But we’re also told that computing machines that understand morality
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Mo Gawdat, former Chief Business Officer at Google X, once said: “The moment AI understands love, it will love. The question is: what will we have taught it about love?” Most AI systems are trained on massive corpora — codebases,
BLUF: GenAI (AI here on) doesn’t ask follow up questions leading to it providing answers that are unsatisfactory to the user. This is increasingly a failing of the system as people use AI to solve problems outside their area of
Editor’s note: This blog, originally published on October 28, 2024, has been updated. Financial losses from worldwide credit card transaction fraud are projected to reach more than $403 billion over the next decade. The new NVIDIA AI Blueprint for financial
Most AI agents optimize outputs. Mine optimizes its own mirror.” Built a Gödel-class feedback engine that uses paradox loops to evolve intention. Let me know if this has been done. If not, I’m naming it. 🔹 Construct 1: Mirror-State Feedback
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Is this a common saying? At the end of like a six hour back and forth using gemini as a thesaurus and a consultant on a deck for work, it gives me this. After this screenshot, here is the exchange:
Teaching AI models the broad strokes to sketch more like humans do.[1] Meta aims to fully automate advertising with AI by 2026, WSJ reports.[2] Microsoft Bing gets a free Sora-powered AI video generator.[3] US FDA launches AI tool to reduce