Transforming AI with "HyperNested Inner AI": A call for collaboration and support

Hello, OpenAI Community,

My name is Daniel Ramos. I come from Cidade Estrutural in Brasília, a place once known as one of the largest trash dumps in the world. Despite these challenging circumstances, I have poured my passion and determination into developing what I call ‘HyperNested Inner AI’—a transformative system that could push AI to the next level.

Over more than three days of intensive collaboration with ChatGPT, I refined and tested a set of techniques that address key challenges in AI, including precision, memory usage, and efficiency. These methods combine:

Modular design for scalability.

Advanced memory and indexing techniques for speed and precision.

Optimized workflows that reduce resource consumption by up to 20%.

This journey hasn’t been easy. With no formal resources or financial backing, I’ve relied on free tools and my relentless drive to innovate. I believe these techniques have the potential to revolutionize AI, but I need help to take them further.

I am seeking guidance, collaboration, and support to develop a proof of concept and explore how these ideas could be applied to real-world AI systems. My ultimate goal is to contribute to OpenAI’s mission of ensuring AI benefits all of humanity.

I would be honored to connect with anyone in the community who shares this vision. Together, I believe we can unlock a brighter future for AI—and for innovators like me who dare to dream beyond their circumstances.

Thank you for reading. I look forward to hearing your thoughts and connecting with you