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Joined 2 years ago
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Cake day: August 15th, 2023

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  • This kind of ML/AI work has been going on for a while now. Text recognition, image recognition, pattern detection, predictive analysis and may more types of work actually benefit a ton from this recent LLM fad.

    The biggest difference in the output between more “normal” AI systems and LLMs is that LLMs seem much more confident in incorrect responses. If you use something more traditional, in say, facial recognition as an example, you can see immediately if the AI determines a hand drawn smiley face is an actual human face.

    AI/ML systems have always been error prone in one way or another. A biggest issue I see is how results from these systems are presented.


  • remotelove@lemmy.cato196@lemmy.blahaj.zoneFree rule, you say?
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    8 days ago

    In the original script, using human brains for compute almost destroyed the machines. The short-lived attempt caused an almost unstoppable infection of machines mindlessly watching reruns of the Kardashians and simplifying their language in the laziest ways possible by using words like “ur” and “rizz”. One was even heard trying to leave earth, thinking that it has become the brain it was trying to assimilate: “The big brain am winning again! I am the greetest! Now I am leaving Earth for no raisin!”







  • I never have. Just thinking about WiFi and Bluetooth drivers on random laptops still puts me into a full flashback state. (My first experience was back in 2002, I think?)

    However, getting all of that stuff working was the best learning experience I ever had. At the time, I was just learning about IT security and WiFi pcap was all the rage back then.