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Using LLMs for everything is going to be seen as a big fad in a few years. First we try them for everything, then we find what use cases actually make sense, then we scale back. Woe betide our 401(k)s when it happens, though.


> Woe betide our 401(k)s when it happens, though.

The stock market crashes once in a while. Shit happens. The long-term outlook is unlikely to change nearly as much, unless you think there will be systemic macroeconomic changes.


Long-term relative to lifespan of the 401K holder. Outcome changes a lot for those who are ready to retire.


This is a concise statement of what I've tried to articulate by analogizing it to railroad infra buildout.

What applications do you think make the most sense so far?


Search, code review, some form of translation...


The paper did not compare against LLMs though.


I just cannot wait for the “bubble bursting” moment, so to speak. It’s tiresome to be force fed this AI bullshit all the damn time, knowing full well it is not going to last.


Agreed .. your two comments cancel each other out? https://hackernews.hn/item?id=47787688




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