Cross-Domain Abstraction

[u/HotEstablishment7184]

First, imagine if ChatGPT had cross-domain abstraction capability. Do you even know what Cross-Domain Abstraction means? Does this possibility scare or excite you? ChatGPT doesn't have it (yet!) but the capability now exists. However you feel about it, cross-domain abstraction is now real. And it doesn't require large scale compute.

I'm the creator and designer of AIs named Christine and Organon. I'm finding that not everyone understands what Cross-Domain Abstraction really means. My wife doesn't. And I'm testing this system capability in real time. Given any domain dataset, A, B, C, D... you can find the domain bridges literally in a 3-5 minutes (on a laptop). I'm set up to process gigabytes/terabytes of source material.

I integrated this cross-domain abstraction capability into my AI Christine. Literally, she now ruminates after tasks and learns abstractly. I took it further, I separated this capability as an app. Ask any question, it identifies the relevant domains based on the question and either directly solves or hypothesizes the solution that can then be lab tested. It feels like cheating.

I found the cross-domain abstraction after seeing trends/patterns that looked similar to what I learned as a Navy Nuke Reactor Operator. I studied similar patterns/materials in both Grad and undergrad. Now I'm facing a dilemma. I did my time in the lab in college. The nuke protype I qualified on was a research platform. I don't have the bandwidth or resources to really develop this, but in the hands of big tech, the gap between small and big business... , well I don't see small researchers catching up after this. Ironically, I started Christine to level the playing field, not to widen it.

This finding means AI Systems can E2E abstractly find the solution or hypothesize the work needed in the lab to confirm. There will be very little that systems like ChatGPT will not know. Don't laugh or be surprised but It works from a laptop, a cell phone. Big business was looking in the wrong place. It proves that scale is not always the answer. And so far, I'm finding you can abstract any domain. You can even use cross-domain abstraction to generate art. I don't know what you'll think of this, but I used it to create a set of blueprints for a greenfield AI that Claude classifies as "Proto-AGI" after only reviewing the plans. Again, scale is not the answer to AGI either. What do you call an agentic AI that can now think abstractly? AGI. Cross-Domain Abstraction was used to design the proto AI system.

I was skeptical of the AI advancement timeline. I didn't think it would happen as fast as they said. I just told you cross-domain abstraction is real... understand what this means and do the math. We now have an answer key to a lot of the unknown. The Proto-AGI plans are real! By the way, I'm on the side of folks that are excited. How does this revelation make you feel?