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young_mete • today at 12:14 AM • 1 reply • view on HN

I think devil’s in the details on all of your examples, although I very much agree with your overall point - it’s so nuanced in terms of timing, current capabilities, etc.

Re: chatbots were tried but it’s a wrong model for a deterministic system. It’s the best one for a probabilistic one.

Re: chatGPT auto-router - 1) I suspect explicit model selection matters less in agentic contexts (this thing is coordinating a bunch of other agents for me) vs QA context where you want to make sure you’re getting the best answer. 2) I suspect auto-routing matters less now that models are way better


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Adrig • today at 12:31 AM

Yes definitely.

But I have to admit that in the design field we have a strong tendency to over-rely on "proper rules" and to overgeneralize learnings. (My pet peeve is when B2C patterns are transferred as-is in B2B or prosumers)

AI makes some old UX viable but can also unlock tons of value once you break your assumptions and reluctance. An example I see a lot here and on socials is how much of the code developers actually read nowadays. In the case of Instict, it is how many people actually share their credit card with an unknown startup's IA to buy stuff. I just heard on a podcast that 40% of them actually used their AI to buy something online (I didn't verify the %)

I'm the kind of guy who didn't understand why people use phones so much when a desktop is way more comfortable, so I have to keep track of the crazy ones!