• Bluescluestoothpaste@sh.itjust.works
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    2 days ago

    I mean is that so different from what we do? My boss says “tools are in the bed”, he could mean an actual bed where people sleep, maybe we’re demoing a house and he placed the tools on a bed. But probably he means the bed of his pickup truck. I assign a probability to each and take the meaning that is most probable.

    • ParlimentOfDoom@piefed.zip
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      2 days ago

      Yes it is different, because you can reason that out using the context of the situation. An LLM only has the words sent to it, and no ability to analyze whether what it is saying makes sense.

      It’s just: you said bed and told, here’s some other words that commonly show up near the word bed, if there’s enough smut in it’s training, it might go a very different direction than your expecting.

      • Bluescluestoothpaste@sh.itjust.works
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        14 hours ago

        it might go a very different direction than your expecting.

        I mean yeah sure, but so it goes with humans. Like yes of course i think we all agree an expert who spends hours drafting and revising some document will do a much better job than AI, not even close. But most humans aren’t experts in anything and even fewer will spend the time effort and attention into producing truly excellent work.

        But yeah i talk to people at work all day about work stuff and i work really hard to give clear concise easily digestible instructions to my humam coworkers, and I get truly stupid lazy inattentive answers all fucking day. and when i put half as mucb effort into writing clear instructions for AI, AI gets it right every time.

        No AI isn’t perfect but as humans we are deeply flawed and AI straight up kicks all my coworkers asses. Idk if you AI haters all have jobs at wonderful workplaces where everyone is intelligent works hard and has strong attention to detail, but for the rest of us AI is extremely fucking helpful.

        • ParlimentOfDoom@piefed.zip
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          6 hours ago

          The thing is, we didn’t need to invent a technology that boils a lake just to match the ability of…less than intelligent humans. And not even actually achieve that. Just generating text that a dim, possibly high, human could generate, and nothing else. That’s not useful in any way.

          AI gets it right every time

          No. It does not. Even given the same instructions, it can give wildly different results. A lot of those results are straight garbage.

      • kell_t@programming.dev
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        1 day ago

        Thinking/reasoning tokens kind of approximate that actually, which is what most flagships and even my own local LLM use.

        Thinking tokens are quite like normal generative tokens, except that the LLM is ‘talking’ to itself. You can see its thoughts (depending on what settings you’ve put/IDE you use), but they aren’t meant to be the actual response to your prompt. They are what the AI is designed to draft their answer before committing, to explore different options and to ‘reason’ itself into a more refined response.

        Reasoning tokens is how AI can actually do math now, rather than just guess a number and pray, by the way.