But the negatives are spiraling out of control. Pollution and energy and the amplification of structural social problems like wealth stratification, authoritarianism, media manipulation...
With great power comes great responsibility, and we're living in an era in which our culture has shifted dramatically towards accepting immoral, short-sighted, and reckless behaviour.
Certainly commensurate to the price. It's up to the companies to bring the cost under the price.
AFAICT, fears of the marginal costs of LLM inference being high are dramatically overblown. All the "water" concerns are outlandish, for one—a day of moderately heavy LLM usage consumes on the order of one glass of water, compared to a baseline consumption of 1000 glasses/day for a modern human. And the water usage of a data center is approximately the same as agriculture per acre.
I don't think anyone has a single agreed upon number for the water consumption, with the higher estimates focusing on a lot of wider externalities and the lower estimates ignoring them, such as ignoring the cost of training.
At what cost? See discussion here. And who bears the burden of that cost?
Sure you can look away from child labor providing you the latest iphones or lithium mines for the same or electric cars destroying pristine tropical jungles and entire ecosystems, many folks do so very comfortably. Then some others don't.
You participate in $the_thing so surely you must support $the_thing, right?
I would get value from stealing, I don't steal from people. The argument or question isn't about if it has value to some people, the question is, does the value to some people outweigh the costs that are imposed on others.
It’s no more useful than when google and stack overflow was at its peak! All I want is to find docs. The coding performance is lackluster, oversold and under delivered. Everything else gen AI is dystopian.