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Andrew Ng says human intelligence is powerful because it learns generally and quickly While a human can learn a job just by talking, brute-forcing an AI for a single narrow task can cost a million dollars "because of this massive effort, using AI doesn't make sense for many tasks"

Haider.

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14,611 次观看 • 5 个月前 •via X (Twitter)

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xAI is building “human emulators” Khan says “human emulators” will let AI bots perform any on-screen task a human can, using the same keyboard, mouse, and visual cues. The system needs zero changes to existing software because the bot simply mimics the user’s actions. Scaling from a thousand to a million digital workers is mostly an infrastructure question, not a research hurdle. With Tesla-class data centers already available, cost drops and 24/7 uptime make the model economically compelling.

xAI is building “human emulators” Khan says “human emulators” will let AI bots perform any on-screen task a human can, using the same keyboard, mouse, and visual cues. The system needs zero changes to existing software because the bot simply mimics the user’s actions. Scaling from a thousand to a million digital workers is mostly an infrastructure question, not a research hurdle. With Tesla-class data centers already available, cost drops and 24/7 uptime make the model economically compelling.

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Yann LeCun says intelligence isn’t correlated with a desire for dominance AI will follow human goals under strict guardrails, and if one goes rogue, smarter systems can correct it. Amplifying human intelligence could start a new era: "my good AI against your bad AI"

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🇩🇪 - Germany is BACK! Agile Robots launched Agile One, a Humanoid Robot that is designed for industry. It can handle many tasks autonomously. It learns quickly by doing the tasks, weighs 69kg, and is powered by their own AI foundation models! Europe will win 🇪🇺

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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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