[deleted] t1_ivzyjtc wrote
bitfriend6 t1_iw02gix wrote
Human-equivalent AI won't exist until we have human-equivalent data processing hardware. Binary silicon transistors just can't do this given the constraints reality places on it. Quantum computing might prove different, but that's where the "50-100 nobel prizes" comes in.
Takadeshi t1_iw09t4e wrote
Idk that might be true but we don't really know what the limits of scaling these models are, nor do we know the limits of how much faster we can make ML hardware. Expert opinion on the latter though suggests quite a lot; GPUs are really just the tip of the iceberg when designing hardware to train models
Surur t1_iw0lmes wrote
That sounds like nonsense since silicon has been perfectly fine for emulating many bits of human intelligence.
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