Quite telling -- thanks for the insightful comment as always, Simon. Didn't know that, even though I've been discussing this on and off all day on Reddit.

He's a smart man with well-reasoned arguments, but I think he's also a bit poisoned by working at such a huge org, with all the constraints that comes with. Like, this:

  You can’t just tell them something and they’ll remember it.

LLMs are a necessary part of AGI(/"agents") due to their ability to avoid the Frame Problem[1], but they're far from the only needed thing. We're pretty dang good at "remembering things" with computers already, and connecting that with LLM ensembles isn't going to take anywhere close to 10 years. Arguably, we're already doing it pretty darn well in unified systems[2]...

If anyone's unfamiliar and finds my comment interesting, I highly recommend Minsky's work on the Society of Mind, which handled this topic definitively over 20 years ago. Namely;

A short summary of "Connectionism and Society of Mind" for laypeople at DARPA: https://apps.dtic.mil/sti/tr/pdf/ADA200313.pdf

A description of the book itself, available via Amazon in 48h or via PDF: https://en.wikipedia.org/wiki/Society_of_Mind

By far my favorite paper on the topic of connectionist+symbolist syncreticism, though a tad long: https://www.mit.edu/~dxh/marvin/web.media.mit.edu/~minsky/pa...

[1] https://plato.stanford.edu/entries/frame-problem/

[2] https://github.com/modelcontextprotocol/servers/tree/main/sr...

> You can’t just tell them something and they’ll remember it.

I find it fascinating that this is the problem people consistently think we're a decade away on.

If you can't do this, you don't have employee-like AI agents, you have AI-enhanced scripting. It's basically the first thing you have to be able to do to credibly replace an actual human employee.