Humans are just next-human generators :)

Imo doing everything in-context seems more hacky - I would rather see a Toolformer approach but I understand that it probably requires more engineering and compute.

I reckon the in-context approach probably makes the plugins less stable as the model has to nail the syntax. ChatGPT is good at coding but it makes basic errors often enough to notice.

It would be interesting if it learned which API to use from a description of the API so as to allow it to generalise to new ones!

For more great anecdotes like this, this paper is a great read.

I think you mean statically typed. Python is strongly typed.

Iason Gabriel comes to mind as a prominent example, but I do think I could find some others too. Maybe Kate Crawford also reasonably fits - she certainly comes from humanities. (This isn't my area, so this is all quite vague to me)

On another note, I don't really buy your analogy to law. AI ethics is inherently interdisciplinary. While I will always be skeptical of people simply coming in with backgrounds from one side or another, I don't think the space should be hostile. After all it requires collaboration.