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.
replyAlso, 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?
replyMaybe 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."
replyAI 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?
replyI 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?
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?
replyyeah 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.
replyAI is good at code but bad at writing. So what makes you think that its skill with code would generalize to product decisions?
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