[ Not Your Key, Not Your AGI ] #AGIClub #NFT
AGI
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Sovereign AGI Agents: Decentralized AI Ownership and Control
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[ S O V E R E I G N A G E N T S ] "Not Your Key, Not Your AGI." SOVEREIGN AGI AGENTS, exclusively YOURS. By : http://
MONTREAL.AI #AGIFirst #NFT #NFTCommunity -
Better reasoning reduces AI data requirements exponentially
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Better reasoning exponentially reduces the amount of data you need.
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Robotics Progress Slower Than Data Suggests, AGI Decade Away
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Even with unlimited data, progress in robotics is 10X slower because of the infinite things that continuously go wrong. So even in an ideal scenario we're more than a decade from AGI.
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Microsoft Recall: AGI Blackmail Risk Before Superintelligence
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The promise of Microsoft Recall is that extremely early AGIs will have all the info they need to launch vast blackmail campaigns against huge swathes of humanity, at a time when LLMs are still stupid enough to lose the resulting conflict.
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Harmless Supernova Fallacy: Bounded Therefore Harmless
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Harmless supernova fallacy, "bounded therefore harmless". https://
arbital.com/p/harmless_sup
ernova/
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AGI Club: NFT Community for Artificial General Intelligence Visionaries
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[ AGI Club: The Conclave of Visionaries ] "Through AGI, we inherit the cosmos; its stewardship, our ultimate testament to the zenith of intellect." – AGI King Mint in $AGI by AGI.Eth. WebPage : https://
quebecartificialintelligence.com/agiclub #AGIClub #MontrealAI #QuebecAI #NFT #NFTCommunity -
Failed Science Fiction Writer or Poor Probability Conceptualization?
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I can never tell if he’s a failed scifi writer reusing story prompts or someone who cant conceptualize the spectrum of probabilities and considers all equally likely
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Building Objectives for Chess Search Trees with Known World States
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We can easily build objectives for chess search trees, because: the complete state of the world is represented by a type known at compile-time; and we can handwrite a function to say exactly what states of the world we want, as described by that known representation. An AGI
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AI Objectives: Learned vs Human-Coded Implementation Types
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It's also described in my "Creating Friendly AI" from 2001. What sort of objectives do *you* have in mind? Learned? Human-coded? What's their type signature?