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When ChatGPT, then Llama, then Alpaca came out in rapid succession, I decided to hold off a year before diving in. This was definitely the right choice at the time, it’s becoming less-the-right-choice all the time.

In particular it’s important to get past the whole need-to-self-host thing. Like, I used to be holding out for when this stuff would plateau, but that keeps not happening, and the things we’re starting to be able to build in 2025 now that we have fairly capable models like Claude 4 are super exciting.

If you just want locally runnable commodity “boring technology that just works” stuff, sure, cool, keep waiting. If you’re interested in hacking on interesting new technology (glances at the title of the site) now is an excellent time to do so.



I wouldn’t want to become dependent on something like OpenAI, at least not until we see what the “profitable” version of the company is.

If they have to enshiffify, I don’t want that baked into my workflow. If they have to raise prices, that changes the local vs remote trade off. If they manage to lower prices, then the cost of running locally will be reduced as well.

I’m also not sure what the LLMs that I’d want to use look like. No real deal-maker applications have shown up so far; if the good application ends up being something like “integrate it into neovim and suggest completions as you type” obviously I won’t want to hit the network for that.

Early days still.


i don’t quite see the point in waiting, if you’re using something like lm studio just download the latest and greatest and you’re on your way, where is the fatigue part?

i can understand maybe if you’re spending hours setting it up but to me these are download and go


Yeah, that’s why I said waiting a year after Llama v1 was good. By that point llama.cpp, LM Studio and Ollama were all pretty well established and a lot of low-hanging fruit around performance and memory mapping stuff was picked.




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