alt Hacker NewsYeah. The speed is the biggest issue. The intelligence of open models is good enough for serious work (though still worse than the frontier models), but the cloud models are often 3-7 times faster, and you can get more parallelization and so get speeds on the order of hundreds of tokens per second, which makes things fast!
Even extremely slow LLMs can generate Part B faster than I can audit Part A. So the LLM can generate Part A while I look over my email. Then it can worry over Part B while I look over Part A.
It can worry over Part C while I have my 10:30 group meet. And it can worry over Part D while I do whatever other silly, time-wasting thing all humans do in almost all organizations. Then I still haven't reviewed Part B, yet, so the extremely slow AI is waiting on me.
Maybe someday I'll be good enough to need faster AI so I can rewrite something like Bun in a few days. Right now, slow and local fits my use case very well.