The AI hater's guide to code with LLMs

> I say LLM, not “AI”, when talking about the text generation models at the heart of most of the “AI” explosion. I’ll prefer technical terms to marketing buzzwords the whole way through, even at the cost of being awkward and definitely a little stodgy. Useful precision beats vacuous true statements every time, and the difference now very much matters.

Yes! Put it directly into my veins^W brains

Let me make it clear: the AI haters like me do not need a guide to code with LLMs, because they wouldn't be AI haters in the first place.

Flagged for clickbait and perpetuating the pro-/anti- AI squabble that exists solely to farm karma on the HN frontpage.

Not to be dismissive, but I had to comment here:

> A $5000 budget would barely suffice to run something like gpt-oss 120b (OpenAI’s open model that is okay at code-writing tasks).

I play with this model on a $1,200 shoebox-sized PC. If/when I do want to outsource my work, it does perfectly fine. Snappy, even, while sipping <200W. Keeps my data local, too.

Author mentions the pay as you go AI providers are profitable, and the fixed plan providers are 3x-5x underpriced. Is this a proven assertion?

Nice. Despite being anti-AI, He knows more about LLMs than most "thought leaders" and "AI enthusiasts".

Wow. Politically charged much?