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Earlier quoted context omitted.
> However, this is not the best application of LLMs It is, however, the commercial application everyone - including search engines! - is implementing.
I can see LLMs as a novel front-end for a traditional search engine.
It's really easy to get an LLM to hallucinate by asking an open ended question - the type typically answered by a Google search or checking Wikiedpia. However, this is not the best application of LLMs. This criticism is getting old. LLMs are great at: - Text synthesis given all of the facts in a prompt (expand these bullet points) - Summarization (condense this text) - Data extraction (fit this data into this schema)…
> However, this is not the best application of LLMs It is, however, the commercial application everyone - including search engines! - is implementing.
The first electric motors were written off as being less powerful than steam engines.
So it goes.
I think both of these views can be true at the same time: ChatGPT (or, LLMs really) are revolutionary and they won't revolutionize the world the way technologists/researchers say.
Early adopters will use the technology and do amazing things with it. Unions are already pushing back on AI (truckers, federal employees in Canada, writers in Hollywood) and maybe rightly so. At the same time, dismissing these technologies because they don't meet your high standards yet is probably foolish.
...Twitter right now
This critique asserts that ChatGPT propagates inaccuracies. While there may be instances where this holds true, the given example does not substantiate this claim. The article alleges that ChatGPT stated Russia has launched bears into space, an assertion that is evidently false. However, my own interaction with ChatGPT 4.0 contradicts this. When I posed the same question, the AI unequivocally responded that no nation…
It's really easy to get an LLM to hallucinate by asking an open ended question - the type typically answered by a Google search or checking Wikiedpia. However, this is not the best application of LLMs. This criticism is getting old. LLMs are great at: - Text synthesis given all of the facts in a prompt (expand these bullet points) - Summarization (condense this text) - Data extraction (fit this data into this schema)…
I've found it bad for this, does not generate something I'd actually read.
Sure, anyone that uses ChatGPT knows it's currently not perfect. But there's a presumption that these tools are going to keep improving over time. Which is presumably why the AI hype is so strong. Whether AI ends up displacing people from their jobs in the long term, well, that's impossible to know. Just because no technological advancement has ever done that in the past doesn't mean it will never happen in the futur…