This is due to the immaturity of the product, and the hype necessary to fund it

This is due to the immaturity of the product, and the hype necessary to fund it despite it’s low profitability – until it’s mature.

I’ve been repeating this argument for a couple of months now, but the future of LLMs, is brighter than ever.

Why?

There are at least the remaining issues:
1 – episodic memory,
2 – associative prediction,
3 – abstraction,
4 – solution point wayfinding (real reasoning),
5 – ethics,
6 – and decidability.

We have solved the hardest ones: ethics and decidability. We know how to solve most of the rest of them. The problem isn’t know-how. The problem is the extraordinary costs of those innovations using extant technology rather than neuromorphic hardware.

Our work, that I know of, is the only solution to revenue production sufficient to cover those costs.

Cheers
CD
Runcible

http://
Runcible.com