the biggest producer of renewables is Texas, by a longshot. and the state of california just created insane NEM laws that favor the pockets of pg&e (and are shit for the environment) and as a result solar home installations have cratered.

it will be adopted when the money speaks. the good news is that money is a reasonably close proxy to "environmental benefit" (balancing the environmental costs of green infra production versus dirtiness of gas generation)

There's also no plausible biological/chemical mechanism to backpropagate.

no, factories are closing and workers are protesting due to factory shutdowns in china. if you go to target, most things are made in bangladesh, pakistan India, maylaysia, thailand, vietnam where before they'd all be from china. also us consumption generally is decreasing, and anyways, transportation and direct energy was always the biggest contributor.

true

> and does not try to emulate one

citation please.

something like the universal approximation theory comes to mind, transformer architecture clearly has the shape of a universal algorithm approximator

iiuc us per capita emissions are not far from 1910s levels

sometimes humans making claims about AI intelligence or consciousness also identify spurious patterns that do not correspond to the problems of intelligence or hard consciousness.

without any evidence, i claim the corpus might have higher quality variable names and conventions that are "human crutches" around not having types.

LLM knowledge in your non public codebase must be strictly local, and so checking on details and identities of types incurs a cost for the LLM to go fetch that info. if the LLM can "just know" (guess with very high confidence) then thats better for the LLM.

> non-typed languages has more traning data

as per anthropic "poisoning llms with 250 examples" finding, i suspect that corpus size does not really matter that much for any language that is reasonably well used.

that said, I'm a fan