I’ve found that AI has done literally nothing to improve my life in any way and has really just caused endless frustrations. From the enshitification of journalism to ruining pretty much all tech support and customer service, what is the point of this shit?

I work on the Salesforce platform and now I have their dumbass account managers harassing my team to buy into their stupid AI customer service agents. Really, the only AI highlight that I have seen is the guy that made the tool to spam job applications to combat worthless AI job recruiters and HR tools.

    • Catoblepas@lemmy.blahaj.zone
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      5 days ago

      Might want to rethink the summarization part.

      AI also hasn’t made any huge improvements in machine translation AFAIK. Translators still get hired because AI can’t do the job as well.

      • xep@fedia.io
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        5 days ago

        Thank you for pointing that out. I don’t use it for anything critical, and it’s been very useful because Kagi’s summarizer works on things like YouTube videos friends link which I don’t care enough to watch. I speak the language pair I use DeepL on, but DeepL often writes more natively than I can. In my anecdotal experience, LLMs have greatly improved the quality of machine translation.

      • theunknownmuncher@lemmy.world
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        5 days ago

        Downvoters need to read some peer reviewed studies and not lap up whatever BS comes from OpenAI who are selling you a bogus product lmao. I too was excited for summarization use-case of AI when LLMs were the new shiny toy, until people actually started testing it and got a big reality check

      • xep@fedia.io
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        5 days ago

        The services I use, Kagi’s autosummarizer and DeepL, haven’t done that when I’ve checked. The downside of the summarizer is that it might remove some subtle things sometimes that I’d have liked it to keep. I imagine that would occur if I had a human summarize too, though. DeepL has been very accurate.

        • theunknownmuncher@lemmy.world
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          5 days ago

          LLMs are especially bad for summarization for the use case of presenting search results. The source is just as critical of information for search as the information itself, and LLMs obfuscate this critical source information and combine results from multiple sources together…