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> These LLMs can't tell facts from BS now. I think this is severely overstated as a problem that would prevent LLMs from being useful. LLMs generate BS if you
by idopmstuff 3y ago
> These LLMs can't tell facts from BS now.
I think this is severely overstated as a problem that would prevent LLMs from being useful. LLMs generate BS if you use them like a search engine, but there are lots of use cases where they don't.
Need to summarize a document or rephrase something in a different tone? Hallucination is really a non-issue.
I've used LLMs to write scripts - while hallucination does happen, it's a situation where I can easily validate that the scripts are doing what I would expect, so hallucination isn't a serious issue.
- MattPalmer1086 3y agoExactly. There are many, many cases where AI significantly speeds up doing something. I've already used it productively for writing code, understanding how to set up new tech, summarising documents and academic papers, and writing clearer text. And I'm not a power user at all. So this will result in fewer existing jobs, and the productivity of the remaining jobs must increase. And some new jobs will be created along the way.
- jqpabc123 3y agowhile hallucination does happen Once new LLMs start to consume hallucinations from older LLMs, the hallucination problem will only start to grow and expand. With LLMs producing more content and producing it faster (this is their purpose), it will become prohibitively expensive if not impossible to check and verify everything that is fed into these models. LLMs are multipliers --- garbage in equals orders of magnitude more garbage out for the next generation of LLMs to consume.