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Cake day: June 13th, 2024

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  • I think this might be a case of expecting a fish to climb a tree. Brains are terrible in fp32 performance, and computers are so far not great at reasoning. But that’s mostly because they are made for different things. I’m not sure of this, but i would expect a single neuron firing costing a similar amount of energy as a single transistor firing. The difference is in part that they work differently, but I think the most important part is that they are put together differently. Computers were made for arithmetic while brains evolved for socialising and survival. For most other things you are 100% correct though, we could not recreate a bee or an ant even if we wanted to.




  • I am sceptical of this thought experiment as it seems to imply that what goes on within the human brain is not computable. For reference: every single physical effect that we have thus far discovered can be computed/simulated on a Turing machine.

    The argument itself is also riddled with vagueness and handwaving: it gives no definition of understanding but presumes it as something that has a definite location, and also it may well be possible that taking the time to run the program inevitably causes understanding of Chinese after even the first word returned. Remember: executing these instructions could take billions of years for the presumably immortal human in the room, and we expect the human to be so thorough that they execute each of the trillions of instructions without error.

    Indeed, the Turing test is insufficient to test for intelligence, but the statement that the Chinese room argument tries to support is much, much stronger than that. It essentially argues that computers can’t be intelligent at all.