I'm currently writing a compiler (forever garage project) the speed at which Claude is able to debug with gdb what was wrongly generated is insane. I had not much prior expertise so maybe a professional in the field would be able to do it faster, but now people new to the field are able to debug at a very fast pace as well. It looks at ask code generated, understands llvm, can read and instrument gdb, all for 15$ a month
I recently just referenced the selective applicative functors paper and let it write me an implementation in scala. There is one already available in github, so I can't judge if it really just read the paper and implemented it, but the result was so minimal quick and amazing.
> False, it creates consumer demand for inference chips, which will be badly utilised.
There are so many CPUs, GPUs, RAM and SSDs which are underutilized. I have some in my closet doing 5% load at peek times. Why would inference chips be special once they become commodity hardware?
Only contrast I see is that he thought it was much more of a corner case which turned out to be not that true anymore since everyone started using claude code.
on one hand they are loosing profit, on the other hand they are gaining on market share. They will probably wait a short while to assess how much they are willing to sacrifice profits for market share