🇨🇦 tunetardis

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Joined 3 months ago
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Cake day: June 8th, 2025

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  • Here in Ontario, I think we have 16 reactors spread across 3 power plants? And more are purportedly on the way.

    The CANDU reactors use heavy water and should, in theory, be safer than light water designs since they can function with unenriched uranium. OTOH the nearest reactor to where I live is in upstate New York and is rather Fukushima-like from what I’ve heard. Also, I don’t know what the new reactors will be, though the provincial gov seems to be pushing SMRs for whatever reason.







  • 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.