fair point that the contracts aren’t long term, but it still doesn’t speak well for their confidence in their original scaling hypothesis if they can’t find something useful to do with 330,000 H100s.
@garymarcus
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SpaceX/xAI gives up frontier model race by arming competitors
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Whether SpaceX/ Xai is making money on the deals with Google and Anthropic or losing money, they are waving the towel on winning the frontier model race— by arming their competitors rather than themselves.
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Seismic shift: Mistral benefits as US AI trust declines
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Seismic shift It’s a good day to be Mistral. Nobody is going to trust an American AI company that is partly owned by the US Government. Just the way the US doesn’t trust Huawei. After this meeting, everything is going to change. I don’t think either Washington or
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Musk’s Grok 5 AGI boast fades to CoreWeave copycat plan
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Elon, last year: Grok 5 has a 10% chance of becoming world’s first AGI. Elon, this year: Never mind, we’re gonna be like CoreWeave, but bigger.
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Elon leasing LLMs contradicts ‘scale is all you need’
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If scale was “all you need”, Elon would be hoarding LLMs, not leasing them.
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OpenAI’s 2019 dangerous paper and authors’ current whereabouts
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check out OpenAI’s 2019 too dangerous to release paper, and where the authors are now…
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Gary Marcus notes AGI harder than RSI; RSI is useful coding tool
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Critical context on the new Anthropic blog: 1, AGI is *harder* than RSI (as used below). AGI: machine can do anything human can do, autonomously [not achieved] RSI (as used below): AI is a useful coding tool that humans can leverage [achieved]; it’s great at (some) code
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Gary Marcus on AGI definition shift from 2022 essay
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not in the sense of being able to do whatever a human could, with equal flexibility, which is how Legg/Goertzel/Voss defined the term. see my essay “Dear Elon Musk” for a definition that was generally accepted here on X back in 2022, before people tried to goalpost shift to less
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Gary Marcus claims vindication for neurosymbolic AI in LLMs like Code Interpreter
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did you actually read the paper? or just the title? i said you would need neurosymbolic AI to supplement deep learning – and that is exactly what happened with code interpreter, claude code etc. so i was correct!
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Gary Marcus: Claude code builds tools, creating a neurosymbolic system.
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the system as whole uses symbols (eg in the tools); claude code builds those tools in that’s exactly what it means to be a neurosymbolic system, to use symbols tools in addition to neural networks.