| ▲ | fn-mote 6 hours ago |
| > AI-powered alerts from their apple watches that detected cardiac events Surely these are “good old-fashioned AI” (statistical learning) and not LLM, though. I just want to be clear that the “medical LLM” tools are the new ones, and the Apple Watch alerts aren’t. |
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| ▲ | bitwize 6 hours ago | parent [-] |
| LLMs are statistical learning. GOFAI is symbolic, rules-based stuff, expert systems and that. |
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| ▲ | kennywinker 5 hours ago | parent | next [-] | | There is still a categorical difference between how they are being used. Specifically analytic vs generative. Generative AI (LLMs and image generators) are the ones people have issues with - pretty much nobody cares about ML processing for analysis. | | |
| ▲ | woodson 3 hours ago | parent | next [-] | | There’s a bit of a grey area, for example speech recognition. Would you classify that as analytic or generative? Whisper and speech LLMs work pretty well, but can completely make up stuff that wasn’t in the audio at all (see e.g. “thank you for watching” transcribed during silence). Other approaches are closer to the acoustic evidence but may make other mistakes (especially wrongly transcribing long tail, low frequency terms). Pick your poison. | | | |
| ▲ | tyfon an hour ago | parent | prev [-] | | > pretty much nobody cares about ML processing for analysis. I work in a bank and a can tell you that the customers absolutely hate ML when it rejects their loan application. Over the pond in the US, I have an impression that the fico score is not exactly popular either, but I have no first hand experience. |
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| ▲ | AussieWog93 2 hours ago | parent | prev [-] | | Who downvoted this person for correctly defining GOFAI on an tech forum? |
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