CLUB.AGI.eth Let's forge a future beyond imagination! In development . . . #ENS on OpenSea : https://
opensea.io/assets/ethereu
m/0xD4416b13d2b3a9aBae7AcD5D6C2BbDBE25686401/26197956329659879375608614502944430547940191734812384976533597699969316216342
… AGI.Eth : "World's Most Coveted #AGI x Web3 Asset" #AGIClub #AGIFirst #MontrealAI
AGI
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AGI.eth Club: Coveted Web3 Asset Launch Initiative
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AI surpasses humans in Theory of Mind
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Let this sink in: AI now performs better at Theory of Mind tests than actual humans. GPT-4 scores 100% on 2-shot chain-of-thought and step-by-step reasoning benchmarks. (Human accuracy on ToM tests is ~87%)
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AI Overlords and Existential Risks to Human Reality
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I hope AI overlords will not throw us into this kind of reality 😇 https://t.co/L1SbkIDoo1
— Marek Rosa | European🇪🇺 | South African🇿🇦 (@marek_rosa) 29 avril 2023I hope AI overlords will not throw us into this kind of reality
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Humor Understanding as Intelligence Test for AGI
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Ability to understand and generate humor is actually a great test of intelligence. Hilarious AGI
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AutoGPT: Autonomous AI Agents with GPT Models
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AutoGPT: Everything You Need To Know AutoGPT combines GPT-3.5 and GPT-4 via API, allowing projects to be created that have been iterating on their own prompts and reviewing each iteration to improve and build upon it. https://
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AI Hackathon Winners: Dialectic, Parallel Video Control, OpenAGI
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@amasad and @gravicle celebrating the winners of the @southpkcommons + @Replit AI hackathon Congratulations to Dialectic, Parallel Control, and OpenAGI!
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Meta revolutionizes with realistic avatars
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Meta jumps years ahead with lifelike Avatars.
— AI Breakfast (@AiBreakfast) 29 avril 2023
LLMs can be trained to speak like you.
Text-to-voice can sound like you.
The Simulation is coming. pic.twitter.com/dcU3KSMiGjMeta jumps years ahead with lifelike Avatars. LLMs can be trained to speak like you. Text-to-voice can sound like you. The Simulation is coming.
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LLMs Immortalize Documented Knowledge and Diminish Traditional Expertise
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i remember how fun the oreilly perl book was as a kid, to know the whole thing. our shared, slow-moving technical knowledge is becoming less important maybe. but LLMs make the parts we document well immortal. if the model knows, someone always will