3 ms·

“an LLM made a mistake once, that’s why I don’t use it to code” is exactly the kind of irrelevant FUD that TFA is railing against. Anyone not learning to use t

by sneak 1y ago

“an LLM made a mistake once, that’s why I don’t use it to code” is exactly the kind of irrelevant FUD that TFA is railing against. Anyone not learning to use these tools well (and cope with and work around their limitations) is going to be left in the dust in months, perhaps weeks. It’s insane how much utility they have.

breuleux 1y ago
They won't. The speed at which these models evolve is a double-edged sword: they give you value quickly... but any experience you gain dealing with them also becomes obsolete quickly. One year of experience using agents won't be more valuable than one week of experience using them. No one's going to be left in the dust because no one is more than a few weeks away from catching up.
- kossTKR 1y ago
  Very important point, but there's also the sheer amount of reading you have to do, the inevitable scope creep, gargantuan walls text going back and fourth making you "skip" constantly, looking here then there, copying, pasting, erasing, reasking. Literally the opposite of focus, flow, seeing the big picture. At least for me to some degree. There's value there as i'm already using these tools everyday but it also seems like a tradeoff i'm not really sure how valuable is yet. Especially with competition upping the noise too. I feel SO unfocused with these tools and i hate it, it's stressful and feels less "grounded", "tactile" and enjoyable. I've found myself in a new weird workflowloop a few times with these tools mindlessly iterating on some stupid error the LLM keeps not fixing, while my mind simply refuses to just fix it myself way faster with a little more effort and that's a honestly a bit frightening.
  - lechatonnoir 1y ago
    I relate to this a bit, and on a meta level I think the only way out is through. I'm trying to embrace optimizing the big picture process for my enjoyment and for positive and long-term effective mental states, which does include thinking about when not to use the thing and being thoughtful about exactly when to lean on it.
grey-area 1y ago
Looking forward to seeing you live up to your hyperbole in a few weeks, the singularity is near!
malfist 1y ago
Once? Lol. I present a simple problem with well defined parameters that LLMs can use to search product ingredient lists (that are standardized). This is the type of problems LLMs are supposed to be good at and it failed in every possible way. If you hired master woodworker and he didn't know what wood was, you'd hardly trust him with hard things, much less simple ones
- phantompeace 1y ago
  You haven’t shared the chat where you claim the model gave you incorrect answers, whilst others have stated that your query returned correct results. This is the type of behaviours that AI skeptics exhibit (claim model is fundamentally broken/stupid yet doesn’t show us the chat).
sensanaty 1y ago
Surely if these tools were so magical, anyone could just pick them up and get out of the dust? If anything, they're probably better off cause they haven't wasted all the time, effort and money in the earlier, useless days and instead used it in the hypothetical future magic days.
- JimDabell 1y ago
  > Surely if these tools were so magical The article is not claiming they are magical, the article is claiming that they are useful. > > but it’ll never be AGI > I don’t give a shit. > Smart practitioners get wound up by the AI/VC hype cycle. I can’t blame them. But it’s not an argument. Things either work or they don’t, no matter what Jensen Huang has to say about it.
creata 1y ago
I see this FOMO "left in the dust" sentiment a lot, and I don't get it. You know it doesn't take long to learn how to use these tools, right?
- bdangubic 1y ago
  it actually does if you want to do serious work. hence these types of post generate hundreds of comments “I gave it a shot, it stinks”
  - worthless-trash 1y ago
    I like how the post itself says "if hallucinations are your problem, your language sucks". Yes sir, I know language sucks, there isnt anything I can do about that. There was nothing I could do at one point to convince claude that you should not use floating point math in kernel c code. But hey, what do I know.
    - simonw 1y ago
      Did saying to Claude "do not use floating point math in this code" not work?
      - worthless-trash 1y ago
        Correct, it did not work.

by sneak 1y ago

breuleux 1y ago

They won't. The speed at which these models evolve is a double-edged sword: they give you value quickly... but any experience you gain dealing with them also becomes obsolete quickly. One year of experience using agents won't be more valuable than one week of experience using them. No one's going to be left in the dust because no one is more than a few weeks away from catching up.

kossTKR 1y ago
Very important point, but there's also the sheer amount of reading you have to do, the inevitable scope creep, gargantuan walls text going back and fourth making you "skip" constantly, looking here then there, copying, pasting, erasing, reasking. Literally the opposite of focus, flow, seeing the big picture. At least for me to some degree. There's value there as i'm already using these tools everyday but it also seems like a tradeoff i'm not really sure how valuable is yet. Especially with competition upping the noise too. I feel SO unfocused with these tools and i hate it, it's stressful and feels less "grounded", "tactile" and enjoyable. I've found myself in a new weird workflowloop a few times with these tools mindlessly iterating on some stupid error the LLM keeps not fixing, while my mind simply refuses to just fix it myself way faster with a little more effort and that's a honestly a bit frightening.
- lechatonnoir 1y ago
  I relate to this a bit, and on a meta level I think the only way out is through. I'm trying to embrace optimizing the big picture process for my enjoyment and for positive and long-term effective mental states, which does include thinking about when not to use the thing and being thoughtful about exactly when to lean on it.

grey-area 1y ago

Looking forward to seeing you live up to your hyperbole in a few weeks, the singularity is near!

malfist 1y ago

Once? Lol. I present a simple problem with well defined parameters that LLMs can use to search product ingredient lists (that are standardized). This is the type of problems LLMs are supposed to be good at and it failed in every possible way. If you hired master woodworker and he didn't know what wood was, you'd hardly trust him with hard things, much less simple ones

phantompeace 1y ago
You haven’t shared the chat where you claim the model gave you incorrect answers, whilst others have stated that your query returned correct results. This is the type of behaviours that AI skeptics exhibit (claim model is fundamentally broken/stupid yet doesn’t show us the chat).

sensanaty 1y ago

Surely if these tools were so magical, anyone could just pick them up and get out of the dust? If anything, they're probably better off cause they haven't wasted all the time, effort and money in the earlier, useless days and instead used it in the hypothetical future magic days.

JimDabell 1y ago
> Surely if these tools were so magical The article is not claiming they are magical, the article is claiming that they are useful. > > but it’ll never be AGI > I don’t give a shit. > Smart practitioners get wound up by the AI/VC hype cycle. I can’t blame them. But it’s not an argument. Things either work or they don’t, no matter what Jensen Huang has to say about it.

creata 1y ago

I see this FOMO "left in the dust" sentiment a lot, and I don't get it. You know it doesn't take long to learn how to use these tools, right?

bdangubic 1y ago
it actually does if you want to do serious work. hence these types of post generate hundreds of comments “I gave it a shot, it stinks”
- worthless-trash 1y ago
  I like how the post itself says "if hallucinations are your problem, your language sucks". Yes sir, I know language sucks, there isnt anything I can do about that. There was nothing I could do at one point to convince claude that you should not use floating point math in kernel c code. But hey, what do I know.
  - simonw 1y ago
    Did saying to Claude "do not use floating point math in this code" not work?
    - worthless-trash 1y ago
      Correct, it did not work.