> A lot more people will be able to create software, and art. But the world wants a lot more of both, and experts will probably still be much better than novices, as long as they embrace the new tools.
This isn't correct: people want good software and good art, and the current trajectory of how LLMs are used on average in the real world unfortunately run counter to that. This post doesn't offer any forecasts on the hallucination issues of LLMs.
> As datacenter production gets automated, the cost of intelligence should eventually converge to near the cost of electricity. (People are often curious about how much energy a ChatGPT query uses; the average query uses about 0.34 watt-hours
This is the first time a number has been given in terms of ChatGPT's cost-per-query and is obviously much lower than the 3 watts still cited by detractors, but there's a lot of asterisks in how that number might be calculated (is watt-hours the right unit of measurement here?).
This isn't correct: people want good software and good art, and the current trajectory of how LLMs are used on average in the real world unfortunately run counter to that. This post doesn't offer any forecasts on the hallucination issues of LLMs.
> As datacenter production gets automated, the cost of intelligence should eventually converge to near the cost of electricity. (People are often curious about how much energy a ChatGPT query uses; the average query uses about 0.34 watt-hours
This is the first time a number has been given in terms of ChatGPT's cost-per-query and is obviously much lower than the 3 watts still cited by detractors, but there's a lot of asterisks in how that number might be calculated (is watt-hours the right unit of measurement here?).