The Leverage Paradox in AI
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The Leverage Paradox in AI
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Re: The Leverage Paradox in AI
#2If we give runners motorcycles, they reach finish lines faster. But the motor sport is still competitive and takes effort; everyone else has a bike, too. And since the bike parameters are tightly controlled (basically everyone is on the same bike), the competition is intense.
Re: The Leverage Paradox in AI
#3This article says that the stairs have been turned into an escalator. But I think it’s an escalator to slop.
Therefore, it doesn’t affect my work at all. The only thing that affects my prospects is the hype about AI.
Be a purple cow, the guy says. Seems to me that not using AI makes me a purple cow.
Re: The Leverage Paradox in AI
#4This seems like an unsubstantial article, ironically it might have been written by AI. Here's the entire summary:
AI makes slop
Therefore, spend more time to make the slop "better" or "different"
[No, they do not define what counts as "better" or "different"]
Re: The Leverage Paradox in AI
#5I've been thinking something similar about any company that has AI do all it's software dev.
Where's your moat? If you can create the software with prompts so can your competitors.
Attackers knowing which model(s) you use could also do similar prompts and check the output code, to speculate what kind of exploits your software might have.
A lawyer knowing what model his opposition uses could speculate on their likely strategies.
Re: The Leverage Paradox in AI
#6TL;DR relative status is zero sum
Re: The Leverage Paradox in AI
#7This article says that the stairs have been turned into an escalator. But I think it’s an escalator to slop. Therefore, it doesn’t affect my work at all. The only thing that affects my prospects is the hype about AI. Be a purple cow, the guy says. Seems to me that not using AI makes me a purple cow.
> Therefore, it doesn’t affect my work at all.
But that isn't what the author is talking about. The issues is, your good code can be equal to slop that works. What the author says needs to happen is, you need to find a better way to stand out. I suspect for many businesses where software superiority is not a core requirement, slop that works will be treated the same as non-slop code.
Re: The Leverage Paradox in AI
#8I've been thinking something similar about any company that has AI do all it's software dev. Where's your moat? If you can create the software with prompts so can your competitors. Attackers knowing which model(s) you use could also do similar prompts and check the output code, to speculate what kind of exploits your software might have. A lawyer knowing what model his opposition uses could speculate on their likely…
I’d suggest reading about competitive moats and where they come from. The ability to replicate another’s software does not destroy their moat.
Re: The Leverage Paradox in AI
#9I've been thinking something similar about any company that has AI do all it's software dev. Where's your moat? If you can create the software with prompts so can your competitors. Attackers knowing which model(s) you use could also do similar prompts and check the output code, to speculate what kind of exploits your software might have. A lawyer knowing what model his opposition uses could speculate on their likely…
The set of commercially successful software that could not be reimplemented by a determined team of caffeinated undergrads was already very small before LLM assistance.
Turns out being able to write the software is not the only, or even the most important factor in success.
Re: The Leverage Paradox in AI
#10Do people really try to one-shot their AI tasks? I have just started using AI to code, and I found the process very similar to regular coding… you give a detailed task, then you iterate by finding specific issues and giving the AI detailed instructions on how to fix the issues.
It works great, but I can’t imagine skipping the refinement process.