this post was submitted on 26 Dec 2024
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Thanks to @[email protected] for the links!

Here’s a link to Caltech’s press release: https://www.caltech.edu/about/news/thinking-slowly-the-paradoxical-slowness-of-human-behavior

Here’s a link to the actual paper (paywall): https://www.cell.com/neuron/abstract/S0896-6273(24)00808-0

Here’s a link to a preprint: https://arxiv.org/abs/2408.10234

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[–] [email protected] 2 points 3 months ago (1 children)

Their model seems to be heavily focused on visual observation and conscious problem solving, which ignores all the other things the brain is doing at the same time: keeping the body alive, processing emotions, maintaining homeostasis for several systems, etc.

These all require interpreting and sending information from/to other organs, and most of it is subconscious.

[–] [email protected] 7 points 3 months ago

It's a fair metric IMO.

We typically judge super computers in FLOPS, floating-point-operations/sec.

We don't take into account any of the compute power required to keep it powered, keep it cool, operate peripherals, etc., even if that is happening in the background. Heck, FLOPs doesn't even really measure memory, storage, power, number of cores, clock speed, architecture, or any other useful attributes of a computer.

This is just one metric.