yes indeed, who will pay? I run a lot through open models locally using LM Studio and Ollama, and it is nice to only be spending a tiny amount of extra money for electricity.

I am retired and not wanting to spend a ton of money getting locked long term into using an expensive tool like Claude Code is a real thing. It is also more fun to sample different services. Don’t laugh but I am paying Ollama $20/month just to run gpt-oss-120b very fast on their (probably leased) hardware with good web search tooling. Is it worth $20/month? Perhaps not but I enjoy it.

I also like cheap APIs: Gemini 2.5-flash, pro when needed, Kimi K2, open models on Groq, etc.

The AI, meaning LLM, infrastructure picture is very blurred because of so many companies running at a loss - which I think should be illegal because long term I think it is misleading consumers.

▲

piva00 6 days ago | parent [-]

> The AI, meaning LLM, infrastructure picture is very blurred because of so many companies running at a loss - which I think should be illegal because long term I think it is misleading consumers.

In a sense it is illegal, even though the whole tech scene has been doing it for decades, price dumping is an illegal practice and I still don't understand why it has never been considered as such with tech.

Most startups with VC investors work only through price dumping, most unicorns came to be from this bullshit practice...

	▲	nl 6 days ago \| parent [-]
		"Price dumping" isn't an economic term in common use. "Dumping" in international trade is somewhat similar but the reasons that is illegal are very different: https://en.m.wikipedia.org/wiki/Dumping_(pricing_policy) Pricing at a loss by VC funded companies is great for consumers. It rarely is at a loss though - they look at the lifetime value. Pricing at a loss by big tech could be viewed as anticompetitive. Personally I like that Gemini keeps OpenAI prices lower but one could argue it has stopped OpenAIs growth.