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Comment by exitb | Hacker News Reader

Nothing silly was said really. The remark was specifically about local inference and RAM supply issues and it’s entirely true - if all current AI users tried to switch to local models, it would make the RAM availability situation much worse. I userstand that regular Twitter folk doesn’t grasp that, but this isn’t Twitter.

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Would it? First of all, all current AI users still need memory in their devices. You can't use ChatGPT with pen and paper. There would always be a consumer demand for memory, even without local inference. Secondly, it'd drastically decrease the demand for HBM, which has shit yields when compared to conventional memory. It's also questionable as to how much of the produced HBM is actually in use and not sitting in a warehouse.

Altman is still lying by omission[0] by implicating that various important costs are not real

[0] https://news.ycombinator.com/item?id=50400515 for longer comment on that

And "if all current AI users" is a strawman, people using free chatgpt once or twice a day are not going to buy RAM to run own LLMs.

You are misunderstanding the quote.

In which way?

It was not about any of the things you stated. It was about the simple fact that DRAM in data centers get used more than personal/local DRAM.

Yes. And pretending that other parts I mentioned do not matter is exactly lying by omission

They don't matter though... there is no lying by omission, what?

https://en.wikipedia.org/wiki/Lie#Lying_by_omission

I'm not sure what you think happened, but there was no lying by omission because the discussion was not about pros and cons of local models or anything of the sort.

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