[thro_awayz_days]

Silicon is inferior to chemical energy. Human is upwards of thousands of orders of magnitude more efficient than today's best GPU's. However, speed != efficiency. Classifying imageNet with a human would take 1000 hours.

[the8472]

On the other hand GPUs are made for computing and will crunch those numbers for you until they die. If you want a human to classify things you have to consider the lifetime cost of making said human and keeping it entertained.

They also need idle periods every day, during which they don't even shut down!

You can't power them with PV cells either, instead they rely on carbohydrates produced via a horribly inefficient chemical photosynthesis process.

And if you intend to let your human classifier run for 8 hours a day you better buy at least three of those for error correction.

And I must say this comparison is still quite lenient towards the humans since we're not even comparing them to purpose made silicon entities but generalists.

[trhway]

Matrix begs to difer.

[heavenlyblue]

>> Silicon is inferior to chemical energy.

I assume if I power the silicon with batteries it's going to stop being inferior?

[jjoonathan]

How does efficiency vary with clock speed? Can you "just" underclock chips to get high efficiency?

[RhysU]

> Classifying imageNet with a human would take 1000 hours.

You mean it would take 60,000 people one minute? Doable.

[CyberDildonics]

That's interesting, do you have a link to the paper this is from?