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weam404i
Mon, 04 Aug 2025 13:13:49 +0000

Title:
Open Collaboration Proposal: Developing a Developmental AI Model Inspired by Human Cognitive Growth

The Idea:
I’m initiating an open collaboration to build a prototype of a developmental AI system—one that learns and evolves more like a human child than a statistical machine.

Instead of relying on massive datasets and static pattern recognition, the model would:

Start with a small set of basic cognitive principles (like instinct-level rules).

Use “idea generators” to simulate thought experiments or possibilities.

Employ a probabilistic decision engine to evaluate and evolve its understanding over time.

The goal: Simulate real, internalized learning—from instinct to reasoning.

Why This Matters:
Most modern AI systems are impressive in performance but lack internal growth or developmental learning.

I propose a new track: Start from almost nothing—just the mental “instincts”—and build up through interaction, simulation, and trial-and-error understanding. Not imitation, but true cognitive emergence.

What I’m Looking For:
I’m seeking collaborators who are:

Interested in AGI, developmental learning, or cognitive modeling.

Capable of helping build a small experimental system (even in Python).

Open to creative, theory-driven exploration outside mainstream deep learning.

This is open-source in spirit. I’m not representing a company or institution. Just a strong conceptual foundation that deserves a real experiment.

Who I Am:
I’m an independent thinker passionate about the intersection of AI, cognitive development, and philosophy of mind.

I’m looking for researchers, developers, or research mentors who believe in long-term thinking and are curious about building AI that learns from within.

Contact:
weam.maya35@gmail.com

Starter Question:
Do you believe an AI could develop internal understanding starting from simple principles and self-generated ideas?

What would the very first prototype of that look like?

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