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Joined 2 years ago
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Cake day: June 11th, 2023

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  • It’s not the people that simply decided to hate on AI, it was the sensationalist media hyping it up so much to the point of scaring people: “it’ll take all your jobs”, or companies shoving it down our throats by putting it in every product even when it gets in the way of the actual functionality people want to use. Even my company “forces” us all to use X prompts every week as a sign of being “productive”. Literally every IT consultancy in my country has a ChatGPT wrapper that they’re trying to sell and they think they’re different because of it. The result couldn’t be different, when something gets too much exposure it also gets a lot of hate, especially when it is forced down on people.



  • I guess you don’t get the issue. You give the AI some text to summarize the key points. The AI gives you wrong info in a percentage of those summaries.

    There’s no point in comparing this to a human, since this is usually something done for automation, that is, to work for a lot of people or a large quantity of articles. At best you can compare it to other automated summaries that existed before LLMs, which might not have all the info, but won’t make up random facts that aren’t in the article.


  • For reference:

    AI chatbots unable to accurately summarise news, BBC finds

    the BBC asked ChatGPT, Copilot, Gemini and Perplexity to summarise 100 news stories and rated each answer. […] It found 51% of all AI answers to questions about the news were judged to have significant issues of some form. […] 19% of AI answers which cited BBC content introduced factual errors, such as incorrect factual statements, numbers and dates.

    It makes me remember I basically stopped using LLMs for any summarization after this exact thing happened to me. I realized that without reading the text, I wouldn’t be able to know whether the output has all the relevant info or if it has some made-up info.






  • I mean, this post makes no valid argument against JavaScript, there’s no benchmarks or anything aside from an opinion.

    I don’t personally like webdev and don’t like to code in JavaScript, but there are good and bad web applications out there, just like any software.

    A single page can send out hundreds or even thousands of API requests just to load, eating up CPU and RAM.

    The author seems to know the real problem, so I don’t know why they’re blaming it on JavaScript.