Interesting parallel, but as it is packaged today - "AI" looks much lighter on technical customization than quant.

What can you really meaningfully change on the large models today? a bit of RAG, some prompting - sure. But that sounds like a much lighter lift compared to the tasks done by large teams of top-tier CS grads in older quants firms.