🇨🇦 tunetardis

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Joined 15 days ago
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Cake day: June 8th, 2025

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  • For instance, if an AI model could complete a one-hour task with 50% success, it only had a 25% chance of successfully completing a two-hour task. This indicates that for 99% reliability, task duration must be reduced by a factor of 70.

    This is interesting. I have noticed this myself. Generally, when an LLM boosts productivity, it shoots back a solution very quickly, and after a quick sanity check, I can accept it and move on. When it has trouble, that’s something of a red flag. You might get there eventually by probing it more and more, but there is good reason for pessimism if it’s taking too long.

    In the worst case scenario where you ask it a coding problem for which there is no solution—it’s just not possible to do what you’re asking—it may nevertheless engage you indefinitely until you eventually realize it’s running you around in circles. I’ve wasted a whole afternoon with that nonsense.

    Anyway, I worry that companies are no longer hiring junior devs. Today’s juniors are tomorrow’s elites and there is going to be a talent gap in a decade that LLMs—in their current state at least—seem unlikely to fill.


  • My wife and I are hooked also. I bought the first book in the series and started reading it, but decided it’s better to not get ahead of the plot, as every episode seems to end in a cliffhanger. (I don’t think that’s really necessary, as the show has enough pull to keep us coming back regardless.) I have a feeling though that once season 1 is done, I’m going to binge the novels.