You’re bringing up edge cases for #1, and it should be replacing google translate and basic human translation, eg allowing people to understand posts online or communicate textually with people with whom they don’t share a common language. Using it for anything high stakes or legal documents is asking for trouble though.
For 2, it’s not for AIs finding issues, it’s for people wanting to book a flight, or seek compensation for a delayed flight, or find out what meals will be served on their flight. Some people prefer to use text or voice communication over a UI, and this makes it easier to provide.
For 3, grammar and spelling are different. I said it wasn’t useful for spellcheck, but even then if you give it the right context it may or may not catch it. I was referring more to word order and punctuation positioning.
For 4, yeah for me it’s on par in terms of results, but much much faster, especially when asking followup questions or specifying constraints. A lot of people aren’t search engine powerusers though, so will find it significantly easier, faster and better than conventional search than having to manage tabs or keep track of what you’ve seen without just scrolling back up in the conversation.
For 5, recipes have been in the gutter for a decade or more now, SEO came before LLMs, but yeah, you’ve actually caught on to an obvious #6 I missed here of text summarisation…
What I’m getting overall though is that you’re not considering how tech-savvy the average person is, which absolutely makes them seem less useful as the more tech savvy you are, both the more you’re aware of their weaknesses and the less you benefit from the speedup by simplification they bring. This does make ai’s shortcomings more dangerous, but as it matures one would hope that it becomes common knowledge.
you’re not considering how tech-savvy the average person is
I am actually having hard time understanding where all of that hype is coming from. The first time I’ve seen AI solve a problem better than a human was back in 1996. I have used various generations of AI tools ever since. LLMs are fun, but it is not like they are that much different from the other AI tools before them. Every time a new AI technology comes around I am finding a use case for it in my own flow. LLMs have their uses as well. But I am not trying to solve ALL the problems with the new tech.
I do not understand “the average person”. And I guess I never will.
You’re bringing up edge cases for #1, and it should be replacing google translate and basic human translation, eg allowing people to understand posts online or communicate textually with people with whom they don’t share a common language. Using it for anything high stakes or legal documents is asking for trouble though.
For 2, it’s not for AIs finding issues, it’s for people wanting to book a flight, or seek compensation for a delayed flight, or find out what meals will be served on their flight. Some people prefer to use text or voice communication over a UI, and this makes it easier to provide.
For 3, grammar and spelling are different. I said it wasn’t useful for spellcheck, but even then if you give it the right context it may or may not catch it. I was referring more to word order and punctuation positioning.
For 4, yeah for me it’s on par in terms of results, but much much faster, especially when asking followup questions or specifying constraints. A lot of people aren’t search engine powerusers though, so will find it significantly easier, faster and better than conventional search than having to manage tabs or keep track of what you’ve seen without just scrolling back up in the conversation.
For 5, recipes have been in the gutter for a decade or more now, SEO came before LLMs, but yeah, you’ve actually caught on to an obvious #6 I missed here of text summarisation…
What I’m getting overall though is that you’re not considering how tech-savvy the average person is, which absolutely makes them seem less useful as the more tech savvy you are, both the more you’re aware of their weaknesses and the less you benefit from the speedup by simplification they bring. This does make ai’s shortcomings more dangerous, but as it matures one would hope that it becomes common knowledge.
I think you are correct at the main point:
I am actually having hard time understanding where all of that hype is coming from. The first time I’ve seen AI solve a problem better than a human was back in 1996. I have used various generations of AI tools ever since. LLMs are fun, but it is not like they are that much different from the other AI tools before them. Every time a new AI technology comes around I am finding a use case for it in my own flow. LLMs have their uses as well. But I am not trying to solve ALL the problems with the new tech.
I do not understand “the average person”. And I guess I never will.