Mert Can Elsner

Update VL-JEPA is the proof that the DIBR theory works.

Thank you for your thoughtful perspective!

The goal of this paper isn’t to anthropomorphize machines but to explore how we can replicate certain cognitive processes to enhance AI systems. DIBR aims to simulate intuition as a functional mechanism, not as a biological trait.
I respectfully disagree with the assertion that "Instinctive knowing is native to living beings only." This statement alone should spark curiosity, why limit our understanding of intuition to biological systems? Intuition, at its core, is about rapid, non-analytical pattern recognition, and there’s no fundamental reason why this can’t be modeled computationally.

Specifically, the idea is to use data about the process and outcome of problem-solving, how a solution was reached and whether it worked to identify patterns that can be applied to similar problems. For untrained or novel problems, this could help AI systems generate and test potential solutions more effectively, adapting them as needed. This is where intuition-like behavior could be particularly useful.

In short, the goal of this research is to push beyond mimicry and explore how AI can generate novel solutions in ways that resemble human intuition. It’s not about making machines 'alive' but about making them more effective tools for complex tasks.

It’s always interesting to hear different viewpoints , I appreciate your skepticism.

Yes, I’m working on a paper. It’s still early, but I hope others with more resources can build on these ideas.