⟍ı⋂ᑕο−ހ⅂∪ᒧ+х⊃Γ·L−⟍ހᒧހ·ހ−ހı⅂⟍⅂⟍ހ⊃ހ−⋂⟍⅂οހı⅂ᑕ⅂οހ−⅂ᑕ⋂⟍ހ⅂ހLހLހο⋂⟍ހLހ·⋂⟍⅂⟍ހᒧ⅂+⅂+ހı

  • 1 Post
  • 315 Comments
Joined 3 years ago
cake
Cake day: June 5th, 2023

help-circle







  • Dangers like that can be identified quite easily. It’s a qualitative thing, and qualitative chemistry is pretty robust. For instance, we can say that there’s a risk that a particular reaction will produce hydrogen under specific circumstances. We’ll just build the plant accordingly instead of trusting that we can always operate the plant correctly. Sooner or later, you’ll end up running the plant in the wrong way, and you’ll produce some hydrogen, so it’s good to have a plant that can detect and deal with it safely.

    However, usually the idea is to produce something entirely different, and do so efficiently. Those sorts of questions are quantitative, and that’s where things can and will go wrong all the time. Like, how do you ensure that your expensive catalyst isn’t covered in goo, or corrosion doesn’t eat your fancy impeller? How do you ensure that the amount of impurities in the product will remain reasonably low? It’s all about the quantities and reaction rates, and that’s the hard part with inorganic chemistry.


  • Inorganic chemistry is fairly simple and fun as long as you keep it in the lab. Industrial-scale inorganic chemistry gets ridiculously complicated because all the reactants and products are complicated and messy. Also, a large reactor will have all sorts of gradients, which means that the reactions take place in unfavourable conditions all the time. None of it is ideal, and none of it follows simplified laws or rules very well.

    Sure, we have all sorts of fancy calculations, but none of them predict very accurately what’s going to happen and when. Even the best models and theories give approximate and crude answers when you’re dealing with messy industrial-scale chemistry.

    Models give you a rough idea, lab experiments give you a decent idea, but running the process at full scale is the only way to find out exactly how those reactions really work in real life.

    Turns out, our theories are too simple to handle complicated solutions. They can predict the behaviour of simple solutions very well, but that’s not good enough. In real life, you rarely have well behaved clean reagents.








  • This is a tricky argument to make. Living under capitalism means you don’t really have much of a choice in the matter. If you could easily choose not to participate, it would become an ethical decision.

    Currently, LLMs don’t really occupy that position, but soon they will. Eventually, choosing not to use an LLM will be like choosing not to use electricity today. You may not like how your electricity was made, but can you realistically choose not to use it? Most people can’t be expected to make such radical decisions based on ethical questions, because doing so would require significant sacrifices. Same with capitalism today.

    Today, you can still choose to avoid LLMs, and it won’t involve massive sacrifices on your part. I wonder how long that still holds true. Regardless, I still approve of your argument, because of the trajectory we’re currently on.



  • If we assume that Claude has free rein, the quality of rsync will fall. Now the real question is: Can we realistically assume that?

    What if there is a human in the loop who has decades of experience, is more than qualified to evaluate the quality of the code, spends time reviewing it, finds stupid nonsense and fixes it. You could either fix it manually or tell Claude to fix it, which results in a few more coding and review iterations until the code is good enough. If the human in the loop is a responsible person, I think it’s fair to give them the benefit of the doubt.

    Is that too much to ask? Not every application is developed and maintained by a lazy idiot with the programming skills and attention span of a toddler. There are serious and skilled people out there who use LLMs responsibly.