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>The human brain runs constanly at ~20w.

Most likely because any brains that required more energy died off at evolutionary time scales. And while there are some problems with burning massive amounts of energy to achieve a task (see: global warming) this is not likely a significant short falling that large scale AI models have to worry about. Seemingly there are plenty of humans willing to hook them up to power sources at this time.

Also you might want to consider the 0-16 year training stages for human which have become more like 0-21 year training stages with at minimum 8 hours of downtime per day. This does adjust the power dynamics pretty considerably in that the time actually thinking daily drops to around 1/3rd the day boosting effective power use to 60w (as in you've wasted 2/3s the power eating, sleeping, and pooping). In addition that model you've spend a lot of power training is able to be duplicated across thousands/millions of instances in short order, where as you're praying that human you've trained doesn't step out in front of a bus.

So yes, reducing the capability of a human brain/body to performance alone is far too simplistic.



Some of that 8 hrs of sleep includes fine tuning on recent experiences and simulation (dreams).




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