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Re:We Don't Know How to Compute (2011) [video] by unstuck3958 on Monday May 15, 2023 @06:58AM (#35946274)
> So the computational depth of this behavior is only a few tens of steps.

One of the primary "criticisms" of pre-LLM machine learning was that it is inefficient compared to, say, a human, because it requires a plethora of examples to classify something just to match the performance of a human who has only seen a few examples.

That argument no longer holds the same value since the discovery of few-shot learning features of LLMs (though they still have a long way to go). Which makes me think: maybe the reason behind human brain's apparent "efficiency" is the complexity that hides beneath the billions of neurons we have.

Disclaimer: I am an amateur and probably have only a litte idea of what I'm talking about.

Re:We Don't Know How to Compute (2011) [video] by imtringued on Monday May 15, 2023 @12:12PM (#35950561)
Sorry but there is no need for a whole brain to outperform ANNs in learning speed.

https://bigthink.com/neuropsych/brain-cells-chip-play-pong/