Agreed that’s a great read! I don’t love the anthropomorphism (“it’s become my colleague” feels a little close to the people starting relationships with a bot) but his point about the entire industry being built on the $150/hr assumption rings so true

In theory, everyone has access to what is close enough to production-grade cameras

But to make a pro movie/video, you also need things like lighting, setup, characters, story... the stuff that professionals learn how to do over years! All that differentiates production-grade

So far, AI is so much more a cultural phenomenon than a technological or economic one.

I think a lot of potential efficiency gains will be tasks where no kickoff is required - where a trigger happens, a prompt is programmatically generated, and the agent gets to work. My guess is the majority of “agents running in parallel” won’t have a developer orchestrating/prompting each of them

For types of work - I think for some of the “jobs to be done” in a developers day where AI can achieve some automation there’ll be some tasks where the agent needs a human kickoff (bespoke prompting) and a human review. And some where it’s one or the other, or neither.

And no obviously this weirdo little website isn't the objective arbiter of truth, just an interesting, well, proof that I'm right. Heh.

Also: The space around Janelle Monae makes a little heart, aww. Kind of on brand for them these days.

Yuck… I’m sorry you’re getting that. I’ve been subscribed to your blog posts for a while and it’s probably the most thoughtful approach I’ve seen for how to use LLMs usefully in the everyday non-software-development use cases. Thank you