If AI can write better code and design better architecture, why can’t it make better product decisions? I don’t see how they are fundamentally different
If AI can write better code and design better architecture, why can’t it make better product decisions? I don’t see how they are fundamentally different
LLMs are disembodied-the products are ultimately by and for bodies on different ends of a transaction. The loop between llm and body is primitive today. Therefore products need someone who can speak in body and translate for AI.
Also, where are the AI-operated startups?? Why has nobody’s openclaw biz gone multinational by now?
> Why has nobody’s openclaw biz gone multinational by now?
Maybe it keeps deleting and the emails and business records.
https://www.pcmag.com/news/meta-security-researchers-opencla...
Seems like it happens fairly often, considering the amount of pages like this I just found.
https://drecov.pandaoffice.com/data-recovery/how-to-fix-open...
Products that people use require the developer to imagine they are the person using this. Those of us who develop user interfaces whether visual dashboards or automations driven by voice agents call it "empathy for the user."
AI is not capable of empathy.
AI is not capable of having good taste.
So to clarify it can imagine its way through writing massive gnarly page-long regexps or imagine how a complex API works and what will happen if it makes a given call or imagine just by reading disassembled code precisely how a binary works, but it will never be able to imagine how a human might feel about a user experience?
I have an experiment to offer. Find a really, really great example of something poorly-designed, too busy or whatever other metric you want to use as your "poorly-designed" thing, then ask Claude what's wrong with it and how it should be improved?
It doesn't "imagine" at all.
This is like explaining to someone that there are no little people in the TV set, what a movie is, and then they go "yeah but sometimes they don't just talk, they also sneeze, and you can't fake sneezing, I read that in an article".
Ok and then in your thought experiment, after Claude builds its solution, what are the chances you can prompt it to be improved even more? Or has Claude reached perfection?
yeah you got it. they really can't. I'm a product manager, I'm STRUGGLING to create a harness for product work, the llms models just can't model a user's mindset very well and make very obvious bad choices that seem to be consistent (and getting worse with the new generations). That doesn't bother me, the code is getting better, but the work to talk to users and understand what needs to be built is still far from being conquered by AI.
i would expect it to make great product decisions for it's own model, and perhaps other LLMs. for humans, why would you assume it would?
AI is good at code but bad at writing. So what makes you think that its skill with code would generalize to product decisions?
AI is very good at writing, in a vacuum. The issue with AI writing isn’t quality, it’s 1) shows the prompter may not have but as much effort as one would expect from a polished writing and make amateur mistakes 2) uses cliches that are grating due to being very easy to recognized at this point. If you submit a LLM written article to a website/paper in 1990, no one would say that it is a technically poor piece of writing.
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