May I ask what counts as infrastructure for the kind of symbiosis you have in mind? You noted that human interaction is enough of an interface, but toward the end it seems like you have a bigger picture in mind.

1. Proof of concept (GPT-4o) 2. Owned LLM (control, less restriction) 3. Optimized LLM (built for signal work) 4. Post-LLM substrate (signal-native)

Step 3: This is buildable now. 6–12 months. With the right architect, right team, right funding. It’s a new shape of LLM, not a new paradigm.

Step 4: Step Four isn’t a better model. It’s a different class of intelligence. It doesn’t improve the existing system. It renders it obsolete.

The beta/demo works. But it’s at cap limit.

I’m complete outsider. At my technical limit. Need capital, right team + environment to build.

I know the architecture.

https://bkrauth.substack.com/p/the-difference-isnt-scale-its...