https://news.ycombinator.com/item?id=38803836
Was it just that my submission didn't find enough / more balanced commenters?
Anyways, there's also a difference between "are you excited about this new thing becoming available" and "now that you've used it, do you like the experience". The former is more likely to feature rosy expectations and the latter bitter disappointment. (Though it could also be the other way around, with people dismissing it at first and then discovering that it's kind of nice actually.)
Spending huge amount of resource to be a bit better at autocompleting code doesn't have value to me. I want it to solve significant problems, and it's looking like it can't do it and scaling it to be able to is totally impractical.
> In aggregate, training all 9 Code Llama models required 400K GPU hours of computation on hardware of type A100-80GB (TDP of 350-400W).
That is: * 45⅔ GPU years * 160 MWh or... * 45 average UK homes annual electric consumption * 18 average US homes * 64 average drivers annual milage in an EV.
...and that's just the GPUs. Add on all the rest of the system (s).
How has it changed your work life leads people down the rabbit hole of will coding jobs be safe.
This one is a lot more neutral/technical.