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by dodu_ 3mo ago

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jeremyloy_wt 3mo ago
I think there will always be some sort of mastery element to communicating with AI. You can see that nowadays with juniors who blow through tokens and still don’t produce good results. There will always be some group of people using AI better than others. Maybe the results will be equal in the far future, but some other dimension like cost may be better used by some people
teravor 3mo ago
these tools cannot read your mind. every time you prompt it you condition what it will give you on what you gave it. there will either always be a limit to how good that will be or none of this will matter because no human will ever matter again. so far the skill is to condition it to give you the best results. there used to be a time where you had to hack together silly idiosyncratic prompts to get the model to do what you wanted. now you just go into the engineering and describe the object you want it to conjure for you in as much detail as possible (including the high level description of the internals if able) and any constraints you want on it.
enraged_camel 3mo ago
>> Something else builds it, I take credit for it despite not understanding much about about it. How much you understand what was built is entirely up to you. Literally nothing is stopping you, or anyone else, from having the AI walk you through it, or reading the code yourself if you don’t trust the AI.
- dodu_ 3mo ago
  > Literally nothing is stopping you What about the threat of unemployment due to not meeting AI usage/output metrics? I've personally found it has effectively coerced me to stop trying to understand pretty much anything, and instead just send out whatever passes basic test to "keep up". Unless you want to just play bad-faith word games and say that "technically it's still not stopping you" in which case yeah man you got me good job buddy.
CamperBob2 3mo ago
"Woah, I cajoled a chatbot into building something I don't understand at all, I'm so good at my job!" That ship sailed when people started using compilers and stopped learning assembly language.
- dodu_ 3mo ago
  Never really understood this comparison, as it always felt intentionally obtuse to me, but thanks for replying, friend!
  - CamperBob2 3mo ago
    Your confusion probably comes down to a well-intentioned but now-obsolete focus on determinism.
    - dodu_ 3mo ago
      Why is it a mistake to value determinism, or in your words "focus on" it? Why is this alternative better?
      - CamperBob2 3mo ago
        Because your competitors are using the alternative methodology, however scary it may be, to beat you.
        californical 3mo ago
        Are there really companies losing right now for using less AI? Think - would you rather your telecom company’s customer support be AI-forward? Would you pay an extra $5 per month to ensure that you get humans solving your problems immediately when you call with an issue? What about your backup software? Would you rather choose the company that comes out with new innovations in backing up your data and tons of features, but occasionally breaks everything? Or would you want to choose a company for backup software that is slow at adding anything new and reliable? Isn’t it good if this is deterministic? What about even a fitness tracking watch. Are there really that many missing features that need to be released way faster? Or is it better if it just tracks your heart rate and workouts well and then gets out of your way? Same here, don’t you want the features to be reliable and deterministic?

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by dodu_ 3mo ago

[flagged]

I think there will always be some sort of mastery element to communicating with AI. You can see that nowadays with juniors who blow through tokens and still don’t produce good results. There will always be some group of people using AI better than others. Maybe the results will be equal in the far future, but some other dimension like cost may be better used by some people

teravor 3mo ago

these tools cannot read your mind. every time you prompt it you condition what it will give you on what you gave it. there will either always be a limit to how good that will be or none of this will matter because no human will ever matter again. so far the skill is to condition it to give you the best results. there used to be a time where you had to hack together silly idiosyncratic prompts to get the model to do what you wanted. now you just go into the engineering and describe the object you want it to conjure for you in as much detail as possible (including the high level description of the internals if able) and any constraints you want on it.

enraged_camel 3mo ago

>> Something else builds it, I take credit for it despite not understanding much about about it. How much you understand what was built is entirely up to you. Literally nothing is stopping you, or anyone else, from having the AI walk you through it, or reading the code yourself if you don’t trust the AI.

dodu_ 3mo ago
> Literally nothing is stopping you What about the threat of unemployment due to not meeting AI usage/output metrics? I've personally found it has effectively coerced me to stop trying to understand pretty much anything, and instead just send out whatever passes basic test to "keep up". Unless you want to just play bad-faith word games and say that "technically it's still not stopping you" in which case yeah man you got me good job buddy.

CamperBob2 3mo ago

"Woah, I cajoled a chatbot into building something I don't understand at all, I'm so good at my job!" That ship sailed when people started using compilers and stopped learning assembly language.

dodu_ 3mo ago
Never really understood this comparison, as it always felt intentionally obtuse to me, but thanks for replying, friend!
- CamperBob2 3mo ago
  Your confusion probably comes down to a well-intentioned but now-obsolete focus on determinism.
  - dodu_ 3mo ago
    Why is it a mistake to value determinism, or in your words "focus on" it? Why is this alternative better?
    - CamperBob2 3mo ago
      Because your competitors are using the alternative methodology, however scary it may be, to beat you.
      - californical 3mo ago
        Are there really companies losing right now for using less AI? Think - would you rather your telecom company’s customer support be AI-forward? Would you pay an extra $5 per month to ensure that you get humans solving your problems immediately when you call with an issue? What about your backup software? Would you rather choose the company that comes out with new innovations in backing up your data and tons of features, but occasionally breaks everything? Or would you want to choose a company for backup software that is slow at adding anything new and reliable? Isn’t it good if this is deterministic? What about even a fitness tracking watch. Are there really that many missing features that need to be released way faster? Or is it better if it just tracks your heart rate and workouts well and then gets out of your way? Same here, don’t you want the features to be reliable and deterministic?