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Google Introduced a New Way to Use Search. Proceed With Caution.

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    That depends on the issue. Sometimes it's a lack of training, sometimes it's obtuse software. That's a call the product owner needs to make. For something like AI, it does take some practice to learn what it's good at and what it's not good at. So there's always going to be some amount of training needed before user complaints should be taken at face value. That's true for most tools, I wouldn't expect someone to jump in to my workflow and be productive, because many of the tools I use require a fair amount of learning to use properly. That doesn't mean the tools are bad, it just means they're complex.
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    yardratiansoma@lemmy.caY
    Nice, maybe North America can follow suit, kids are already kind of fucked here.
  • Cracking Efficiency: Trends in the Egg Processing Market

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    Niemand hat geantwortet
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    Thanks, I'm glad someone enjoyed it.
  • Hitting the High Notes (2005)

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    I always loved reading Joel's stuff, clear & well thought out. It was especially exciting when they were building Stack Overflow, but that's kinda got buried now. Things come & things go...
  • What Does a Post-Google Internet Look Like

    Technology technology
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    blisterexe@lemmy.zipB
    I'm just sad I'm too young to have ever seen that old internet, and what it was like... Makes me more determined to try and steer the current internet back in that direction though.
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    But do you also sometimes leave out AI for steps the AI often does for you, like the conceptualisation or the implementation? Would it be possible for you to do these steps as efficiently as before the use of AI? Would you be able to spot the mistakes the AI makes in these steps, even months or years along those lines? The main issue I have with AI being used in tasks is that it deprives you from using logic by applying it to real life scenarios, the thing we excel at. It would be better to use AI in the opposite direction you are currently use it as: develop methods to view the works critically. After all, if there is one thing a lot of people are bad at, it's thorough critical thinking. We just suck at knowing of all edge cases and how we test for them. Let the AI come up with unit tests, let it be the one that questions your work, in order to get a better perspective on it.
  • VLC player demos real-time AI subtitling for videos

    Technology technology
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    michaelmuse@programming.devM
    This is really exciting news! VLC adding real-time AI subtitling with offline capabilities is a game-changer for accessibility and international content consumption. While this is great for real-time viewing, for those who need to analyze, edit, or repurpose video content, having access to the actual transcript text is crucial. That's where tools like video to srt come in - they can help you extract, analyze, and work with video transcripts in ways that go beyond just real-time viewing. The combination of real-time AI subtitling (like VLC's new feature) and dedicated transcript analysis tools gives content creators and researchers the best of both worlds. You can watch with live subtitles, then use the transcript for deeper analysis, content repurposing, or creating study materials. This development really shows how AI is democratizing access to video content across language barriers. Exciting times for both viewers and content creators!