Next step into LLM evolution is teaching them to procrastinate

Would be cool if the LLM can break up the request into sub-requests processable by LLMs. Current talk about agents mention some sort of router/orchestrator that delegates to other agents. But these can be another llm, another agent, another router itself or a simple tool call, etc - all function calls that wrap other llm-enabled sub components.

My feeling is that we have the pieces to build AGI. Like humans, we don't need a 400IQ person to solve all problems ('AGI'). What we have is coordination problems and in LLM land it's 'the glue' that's missing. Hopeful it's a matter of patterns/best-practices emerging.

> But these can be another llm

Yes! I share the feeling that once LLMs get good enough at some abstraction level, you can always put another "level" on top that should abstract what already works into bite sized pieces. Hassabis also mentions this in a recent podcast, different levels of abstraction. We'll probably see some tooling in this space shortly, to coordinate between the different levels. And then RL it and watch it demolish planning tasks benchmarks.

We might very well already be at the point where every level is achievable, we just have to glue them together.

And yes, I share the view / feeling that we basically got the AGI building blocks. Models will continue improving, but we can already get most of what we need just by orchestrating the latest generation of SOTA models. Crazy time to be alive!

I bet it can do that if hooked up to an agent system. Rate limits are still very restrictive now in the free API, but as soon as they make it available for more frequent use we'll find out.