Just your typical internet guy with questionable humor

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  • 37 Comments
Joined 2 years ago
Cake day: June 22nd, 2023
  • I Cast Fist@programming.devtoMicroblog Memes@lemmy.world•Data can be hurtfulEnglish
    3·
    5 days ago

    Back then, I did personally experiment and simply started swiping left to every profile. After 300 “nopes” (I counted), I didn’t miss a single match, despite the little ticker showing “49+” profiles that have liked me

    I know Tinder has lots of ways to detect if you’re a returning user, which could’ve been one of the reasons for me being so “unlucky”

  • I Cast Fist@programming.devtoTechnology@lemmy.world•Anthropic has developed an AI 'brain scanner' to understand how LLMs work and it turns out the reason why chatbots are terrible at simple math and hallucinate is weirder than you thoughtEnglish
    6·
    7 days ago

    Anthropic made lots of intriguing discoveries using this approach, not least of which is why LLMs are so terrible at basic mathematics. “Ask Claude to add 36 and 59 and the model will go through a series of odd steps, including first adding a selection of approximate values (add 40ish and 60ish, add 57ish and 36ish). Towards the end of its process, it comes up with the value 92ish. Meanwhile, another sequence of steps focuses on the last digits, 6 and 9, and determines that the answer must end in a 5. Putting that together with 92ish gives the correct answer of 95,” the MIT article explains.

    But here’s the really funky bit. If you ask Claude how it got the correct answer of 95, it will apparently tell you, “I added the ones (6+9=15), carried the 1, then added the 10s (3+5+1=9), resulting in 95.” But that actually only reflects common answers in its training data as to how the sum might be completed, as opposed to what it actually did.

    Another very surprising outcome of the research is the discovery that these LLMs do not, as is widely assumed, operate by merely predicting the next word. By tracing how Claude generated rhyming couplets, Anthropic found that it chose the rhyming word at the end of verses first, then filled in the rest of the line.