Local AI models have finally become viable for programming tasks
By
jfb
Summary
The article discusses the author's experience with local AI models, noting that they have significantly improved over time. The author, using a 2022 M2 Mac with 64 GB RAM, finds that local models are now surprisingly good for programming tasks, particularly after the release of GPT-OSS. The piece reflects on the evolution from slow, inaccurate local models to a point where they are becoming viable alternatives to API-based models, though the author admits this is based on personal experience rather than scientific evidence.
Source
Hacker NewsLocal AI models have finally become viable for programming tasksvickiboykis.comKey quotes
· 4 pulledI've been working with local models since they came out, and finally, they're surprisingly good now.
Early on, models were slow, hard to use, and just not that accurate for most programming tasks.
The idea that local models were severely lagging behind was largely true until, for me, the release of GPT-OSS.
I have no concrete scientific evidence of this - my own personal vibe metric of 'is a model good enough' is, 'do I have to double-check it against an API model'.
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