For people cranking out SaaS / web services / web pages / "full stack" work I don't see a huge difference.
If you're building an optimizing compiler, a CUDA kernel, a database, a high performance concurrent data structure with tricky locking, etc. etc. it's still not really close. Sol 5.6 on high just slays e.g. GLM 5.2 for this kind of work for me.
I'm sure K3 is fine for these things too, but I can't afford it at its API rates compared to a Codex coding plan.
Regarding the latter, are you able to obtain good results from an LLM? With graphics programming work, I find LLMs only help in cases where the task would take me 5 mins or so.
For people cranking out SaaS / web services / web pages / "full stack" work I don't see a huge difference.
If you're building an optimizing compiler, a CUDA kernel, a database, a high performance concurrent data structure with tricky locking, etc. etc. it's still not really close. Sol 5.6 on high just slays e.g. GLM 5.2 for this kind of work for me.
I'm sure K3 is fine for these things too, but I can't afford it at its API rates compared to a Codex coding plan.
For now.
Regarding the latter, are you able to obtain good results from an LLM? With graphics programming work, I find LLMs only help in cases where the task would take me 5 mins or so.
Absolutely.
Interesting. Do you happen to have a public example?
Of what specifically?
A CUDA kernel, compiler optimization, or anything of similar complexity
Feel free to look, but don't bother replying if you have something negative to say, don't feel like having my day ruined by negativity.
https://github.com/rdaum/mica/tree/main/crates/relation-kern...
https://github.com/rdaum/mica/tree/main/crates/vm
https://github.com/rdaum/pagebox/blob/main/crates/wal/src/wa...
Thanks for sharing. Looks interesting. Was all the code AI generated, or is it a mix?
that stuff in particular -- AI generated with heavy heavy prompting and up front design work and post-implementation testing
I have CUDA work here somewhere too but I have the repository private right now
Very cool. Thanks for sharing.