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Joined 2 years ago
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Cake day: June 22nd, 2023

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  • There is this seeming need to discredit AI from some people that goes overboard. Some friends and family who have never really used LLMs outside of Google search feel compelled to tell me how bad it is.

    But generative AIs are really good at tasks I wouldn’t have imagined a computer doing just a few year ago. Even if they plateaued in place where they are right now it would lead to major shakeups in humanity’s current workflow. It’s not just hype.

    The part that is over hyped is companies trying to jump the gun and wholesale replace workers with unproven AI substitutes. And of course the companies who try to shove AI where it doesn’t really fit, like AI enabled fridges and toasters.















  • A company “accusing” someone of piracy isn’t proof. Access to the internet is almost essential these days. If you can prove a person is pirating prosecute them under the law with fines or even incarceration if warranted. But stripping internet access from someone shouldn’t be seen as an acceptable punishment for a free citizen anyway.

    Whoever owns the network attached to the IP address also shouldn’t be responsible for actions of every user. Let’s ban an entire company, college, or government institution from the internet because an IP showed up on a list… dumb ruling.





  • Over simplification but partly it has to do with how LLMs split language into tokens and some of those tokens are multi-letter. To us when we look for R’s we split like S - T - R - A - W - B - E - R - R - Y where each character is a token, but LLMs split it something more like STR - AW - BERRY which makes predicting the correct answer difficult without a lot of training on the specific problem. If you asked it to count how many times STR shows up in “strawberrystrawberrystrawberry” it would have a better chance.