What if the only moat is domains where it’s hard to judge (non superficial) quality?
Code generation, you don’t see what’s wrong right away, it’s only later in project lifecycle that you pay for it. Writing looks good to skim, is embarrassingly bad once you start reading it.
Some things (slides apparently) you notice right away how crappy they are.
I don’t think it’s just better training data, I think LLMs apply largely the same kind of zeal to different tasks. It’s the places where coherent nonsense ends up being acceptable.
I’m actually a big LLM proponent and see a bright future, but believe a critical assessment of how they work and what they do is important.
Code generation, you don’t see what’s wrong right away, it’s only later in project lifecycle that you pay for it. Writing looks good to skim, is embarrassingly bad once you start reading it.
Some things (slides apparently) you notice right away how crappy they are.
I don’t think it’s just better training data, I think LLMs apply largely the same kind of zeal to different tasks. It’s the places where coherent nonsense ends up being acceptable.
I’m actually a big LLM proponent and see a bright future, but believe a critical assessment of how they work and what they do is important.