You’re probably wondering how i built AGI with just $23, five cans of black beans, an old Nintendo console, and chewing gum. Let me explain!
RESEARCH
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AI in Biology: Moonshots and Scientific Impact Organization
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Such a pleasure chatting with @EricLander46 at @raais last week on: – large-scale science moonshots like Human Genome Project, – organising science to deliver maximum impact at the Broad Institute and Whitehead Institute, and – what's next for AI in biology. soon!
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AI Capabilities Beyond Simple Statistics and Human Understanding
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It's as silly to say "AI is just predictive stats" as it would be to say "neurons are just electrochemical pulses". AI clearly can solve all sorts of very hard problems, which is amazing and awesome. AI capabilities are also, in many ways, increasingly beyond our comprehension.
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AGI Nodes: Silent Titans of Intellectual Renaissance
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[ A G I N o d e s ] AGI Nodes – the silent titans powering an intellectual renaissance. As we navigate the dawn of the AGI Era, let's remember: our future is shaped by our collective stewardship. #AGINodes #AGI #AGIFirst
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AGI Nodes and the New Economic Era Emergence
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The Emergence of the Intellectual Titans: AGI Nodes and the Advent of a New Economic Era [ P R E L I M I N A R Y C O N C E P T S E X C L U S I V E L Y ] By: http://
QUEBEC.AI Beneath the rippling surface of our digital age, a formidable titan stirs. Birthed from human -

Shoggoth: The Symbolic Monster of Modern AI
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How the Shoggoth Has Come to Symbolize the State of A.I.: The Shoggoth, a character from a science fiction story, captures the essential weirdness of the A.I. moment. #Technology #Tech #FutureTech https://
nytimes.com/2023/05/30/tec
hnology/shoggoth-the-state-of-ai.html?utm_source=dlvr.it&utm_medium=twitter
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Replit Prioritizes Product Quality Over AI Benchmarks
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At Replit we’re not interested in hitting benchmarks and training LLMS to look good, we’re interested in building good products.
— Replit ⠕ (@Replit) 1 juillet 2023
To learn more watch the full AI panel with @MosaicML’s Chief Scientist @jefrankle in conversation with Replit’s @amasad and @pirroh pic.twitter.com/OdFeWLdUdkAt Replit we’re not interested in hitting benchmarks and training LLMS to look good, we’re interested in building good products. To learn more watch the full AI panel with @MosaicML
’s Chief Scientist @jefrankle in conversation with Replit’s @amasad and @pirroh -
AI Problem-Solving Abilities Beyond Human Capabilities and Unpredictability
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I'm not sure what you mean about 'waking up'. I do believe AI systems will have problem-solving abilities far beyond humans on many, perhaps most, dimensions and that in many cases, AI systems will do things that we didn't anticipate.
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Attending favorite computing conference and preparing deep learning tutorial
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Pretty excited to me attending my favorite computing conference once more! If I’ve been a bit quiet on socials lately that’s because I’m head down working on my deep learning tutorial for SciPy in a bit more than a week! Hope to see you there!
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MIT CSAIL Founded as Project MAC in 1963
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MIT CSAIL was founded #otd in 1963 as “Project MAC.” Painting v/Carol Lake Studios