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MIT professor Sendhil Mullainathan calls Artificial General Intelligence (AGI) — a form of AI that would possess human-level cognitive abilities — "a shockingly unambitious goal."

Pablo Torre Finds Out

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37,208 次观看 • 1 年前 •via X (Twitter)

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Pablo Torre Finds Out1 年前

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FRANK E ELKINS2 年前

Confused about AI? Get clarity today with Book VI - "The Rational Being!" Understand the benefits & risks, empower your future now by learning what AI really is and how it really works! Also check out the Free Weekly Newsletter "How Things Work: A Brief History of Reality"

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🇯🇵 MASAYOSHI SON: AGI IS SAME LEVEL AS A HUMAN BRAIN “AGI definition is same level as a human brain. That's A GI. Artificial general intelligence. But people have a different point of view definition of artificial super intelligence.” Source: Visionary Minds

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CEO Dr. Ben Goertzel discusses AGI benchmarks and explains why a system passing François Chollet's Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) wouldn’t necessarily qualify as human-level AGI.

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🗓️ We’re gearing up to officially launch AGIX platform on November 25th! At AGIX, we’re pioneering Artificial General Intelligence (AGI), a revolutionary step beyond narrow AI. While traditional AI handles specific tasks, AGI aims to replicate human cognitive abilities across a wide spectrum by utilizing a multi-agents learning system (MAL), making it an all-encompassing solution for diverse challenges. 💥 We’re entering a new era of AGI that’s designed to redefine everything we know about automation, intelligence, and digital growth.

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🤖 .AGI Pre-Sale is LIVE Artificial General Intelligence is no longer science fiction. With billions in investment and labs racing toward human-level intelligence, AGI is set to transform medicine, software, education, and the global economy. Now, in collaboration with 0G Foundation, AGI has a home: .AGI domains. 🧵

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AI that had human-level intelligence would actually be way above human level in capability. Obviously, if we trained a human-level AI, we could just run way more instances of it in parallel. This is a huge advantage. But it's not the only one. Right now, LLMs are much less sample-efficient than humans, but they can process each individual piece of data much more quickly. A model that was a human-level learner would be able to gain the equivalent of thousands of years of education. AIs can also be way more task-oriented than humans. Even a really well-motivated human worker can only operate with ‘human-level’ effort for relatively short spans of time. AGI could do it continuously.

AI that had human-level intelligence would actually be way above human level in capability. Obviously, if we trained a human-level AI, we could just run way more instances of it in parallel. This is a huge advantage. But it's not the only one. Right now, LLMs are much less sample-efficient than humans, but they can process each individual piece of data much more quickly. A model that was a human-level learner would be able to gain the equivalent of thousands of years of education. AIs can also be way more task-oriented than humans. Even a really well-motivated human worker can only operate with ‘human-level’ effort for relatively short spans of time. AGI could do it continuously.

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