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Ridwan avatarRidwan avatar
Naufal Ridwan

@Ridwan

I am an independent researcher from Indonesia exploring questions related to intelligence, adaptation, causality, and complex systems. My current work focuses on Dynamic Constraint Boundary (DCB), a theoretical framework that investigates how evolving constraints shape adaptive behavior in both humans and artificial systems. I am particularly interested in understanding the relationship between capability, limitation, and long-term adaptation. Working outside traditional academic institutions, I am currently developing the technical skills and infrastructure needed to formalize these ideas through mathematical modeling and computational simulation...

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About Me

I am an independent researcher from Indonesia without a traditional academic background. My interest in intelligence, adaptation, and causality developed through years of self-directed study and reflection rather than formal institutional training.

Much of my current work has been developed with very limited resources. I do not currently have access to the technical infrastructure that many researchers take for granted, such as a dedicated computer for modeling and simulation. As a result, much of the project remains in the conceptual stage despite substantial effort invested in developing its theoretical foundations.

What motivates me is not the certainty that my ideas are correct, but the belief that some questions are worth exploring even when the answers are unknown. DCB emerged from repeated attempts to understand how constraints shape intelligence, adaptation, and long-term outcomes across both human and artificial systems.

My immediate goal is to build the technical skills and infrastructure necessary to formalize and test these ideas. My long-term goal is to contribute a useful framework for understanding adaptive systems, regardless of whether the final result fully supports my original hypotheses.

Projects

Why Is It So Hard to Build Truly Safe AI? Dynamic Constraint Boundary Arrives as

pending admin approval

Dynamic Constraint Boundary (DCB): From Theory to Simulation

Comments

Why Is It So Hard to Build Truly Safe AI? Dynamic Constraint Boundary Arrives as
Ridwan avatar

Naufal Ridwan

about 2 hours ago

@Ridwan https://tinyurl.com/2djfzfe2

Why Is It So Hard to Build Truly Safe AI? Dynamic Constraint Boundary Arrives as
Ridwan avatar

Naufal Ridwan

about 3 hours ago

The DCB Technical Appendix (PoC) is now available for review. It includes 30-run Monte Carlo simulation results, performance comparisons, stability analysis, and energy efficiency calculations.

Link: https://drive.google.com/file/d/1NRW3KcnMb7rodkL7m8ffU5bV0ebRNVEA/view?usp=drivesdk

Feel free to ask questions or request additional details. I will update this thread as the project progresses.

Dynamic Constraint Boundary (DCB): From Theory to Simulation
Ridwan avatar

Naufal Ridwan

8 days ago

@mariushobbhahn @RyanKidd

I'm sharing an update on my DCB (Dynamic Constraint Boundary) research.

I know you are very busy, so I'm just leaving this here as a follow-up to the email I sent previously. The research is still developing, moving from theory into mathematical formalization and early simulations. I'm posting this so you're up to speed on where I am before the Manifund round concludes in 48 hours.

Whatever happens with the funding, I am not stopping. This project isn't really a choice for me, it's something that keeps me up and demands to be cracked. I'll keep pushing forward regardless.

Thank you for your attention.

Dynamic Constraint Boundary (DCB): From Theory to Simulation
Ridwan avatar

Naufal Ridwan

10 days ago

@LeoGao

I would like to provide a brief update on this project. Since my initial proposal on Manifund, I have made some progress:

1. Initial mathematical formalization: several core variable relationships within the DCB framework have begun to be formalized, though they are still in the development and refinement stage.

2. Initial Proof-of-Concept simulations: some simple simulations have been conducted to test the basic behavior of the architecture in limited scenarios. The early results show interesting pattern differences compared to conventional approaches, but further testing is still needed.

3. Refinement of variable relationships: I am currently focusing on deepening my understanding of how the variables within this framework interact with each other, before moving to more complex implementation stages.

The proposal I submitted through Tally Forms is an update on this project's journey, and I wanted to make sure this latest information is available before the next round of funding.

Thank you for your attention.