this post was submitted on 30 Mar 2025
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No, and in fact the industry is going to see a reduction as people and companies are realising it's not a silver bullet solution or even that great at what it does.
The next branch of LLM modeling (now AGI is failing), is likely towards specialisation. Specialised AI problem solving has far more potential than chasing an ill defined and half formed concept of "intelligence".
No term can exist on its own like that. Everything is relative.
This. LLMs are great for information retrieval tasks, that is, they are essentially search engines. Even then, they can only retrieve information that they are trained on, so eventually, the data can get stale and the model will require retraining on more recent data. Also, they are not very good with tasks that require reasoning such as solving complex engineering problems.
I somewhat agree with that (good for information retrieval).
I say somewhat because they will downright lie , until/unless you call them out.
You need to have an idea of whether what they are telling you is in fact true or not.
I find them very useful for programming snippets because a) I can usual grok whether what they’ve provided is what I’ve asked for and b) the proof is in the pudding (does the code do what I want?)
That is because they don't have any baked in concept of truth or lie. That would require labelling each statement as such. This doesn't scale well for petabytes of data.
I agree with that
and that too