I would imagine a trajectory similar to AlphaGo, it starts out trying to replicate humans and then at a certain point pivots to entirely self-play. I think the main hurdle with llms, is that there isn't a strong reward target to go after. It seems like the current target is to simply replicate humans, but to go beyond that they will need a different target.
I agree in general, but defining an appropriate target seems intractable at the moment. Perhaps it is something the AIs will have to define for themselves.
I think real intelligences are working with myriad such targets, but an adversarial environment seems essential for developing intelligence along this axis.
I do think if there's a path to AGI from current efforts it will be through game play, but that could just be the impressionable kid who watched Wargames in the 80s speaking through me.
Bundlers will convert let/const to var, assign classes and functions to var etc but generally people don't write it themselves unless they want to (ab)use its semantics for performance reasons.
Maybe; I don't know anything about it. I will note that that belief could easily develop, true or not, if twitch streams start out in low resolution and increase as you buffer them.
A third-party client has room to make a dramatic improvement on the twitch experience by not dropping audio while you make the switch from the ad stream to the content stream.
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