Ask HN: What's the Fuzz about Taste?

A Hacker News user questioned the value of human 'taste' in an LLM/generative AI world, arguing that for tasks like self-driving, performance parity with humans renders taste irrelevant. The post sparked discussion on whether taste is a proxy for human judgment or a genuine differentiator.

For different reasons in the last 2 weeks I've found myself speaking to CTOs / CPOs that believe "Taste" is the main distinction and value a human bring to the process in a LLM/Generative AI world. I'm simply not getting it, and I don't know what I'm missing. + Self-driving as an example: I don't really care if it's "nice" how it drives, as long as it drives better or equal to a human. So no taste applies there? Don't get me wrong, I understand and share that we use a concept of "taste" to actually mean "there is no enough data for the model to give a right answer", and the "judgement we introduce after years of living may be better". But I don't buy into this idea that exercising that decision our free will if we may , is the actual difference. So, is taste another way of saying you still know better than Kimi? Or am I truly, and likely, missing something bigger than that? PS: Apologies for simplifying the concept too much, but it's just to make the point across. Comments URL: https://news.ycombinator.com/item?id=48845324 https://news.ycombinator.com/item?id=48845324 Points: 1 Comments: 0