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submitted 2 days ago* (last edited 2 days ago) by FlyingSquid@lemmy.world to c/technology@lemmy.world

Thanks to @General_Effort@lemmy.world 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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[-] piecat@lemmy.world 7 points 16 hours 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.

this post was submitted on 26 Dec 2024
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