| ▲ | vulcan01 6 hours ago | |
wrt. the end of the story, it will be interesting to see if people start noticing their Dunning-Kruger bias as a result of LLMs. Specifically: LLMs make it really easy to misunderestimate the complexity of fields other than your own. (You can see this with a lot of vibecoded projects, for example – once they hit the wall of complexity, they stall out or start finding ugly patches for fundamental design issues, etc.) I don't think this sort of cultural change will happen short-term, though. | ||
| ▲ | nzach 5 hours ago | parent | next [-] | |
> LLMs make it really easy to misunderestimate the complexity In my experience this is a real problem. Just yesterday I asked my LLM to create a piece of software that could help me build an 'ambilight-like experience' through my home assistant. It did something that seems to work as I expected, but there is a lot of theory that I just brushed past. It would be pretty easy for me to assume that I would be able to replicate this feature from scratch 'now that I understand the problem'. | ||
| ▲ | rootusrootus 5 hours ago | parent | prev [-] | |
Agreed. LLMs are really terrific at sounding like they know exactly what they are talking about. Fable is the best yet. Beautiful, thorough explanations with absolute certainty, which under even light scrutiny turn out to be mostly bullshit. I still love the tool, but remain as convinced as ever that AGI does not lie at the end of this particular path. | ||