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Timur Shakurov

@Ruffy

17 y.o. AI Researcher. Building post-Transformer architectures (O(1) memory). Springer Author. Recognized by Forbes KZ & UK Metascience Unit.

https://github.com/little-ruffy
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About Me

I am an AI researcher and Full-Stack Developer focused on fundamental shifts in neural architecture efficiency and reasoning.

Background & Recognition:

At 17, I have already established a track record in both academia and industry:

  • Springer Author

  • Industry Leadership: Served as Lead AI Instructor for a government-partnered initiative (Devyatka LLC) and Co-Lead LLM Engineer at Diffuzio.

  • Recognition: My work has been noted by Forbes Kazakhstan and the UK Metascience Unit.

  • Competition: International Medalist in Math/Robotics/Science/AI.

Current Research (The "Why"):

I am currently building the Recursive Latent Matrix (RLM) a novel recurrent architecture designed to replace the quadratic complexity of Transformers.

Unlike static LLMs, RLM utilizes dynamic synchronization maps and O(1) matrix memory to achieve inference-time reasoning without the massive compute overhead. I am proving that we can achieve thinking through temporal recurrence rather than just scaling parameters.

Projects

Visible Reasoning via Dynamic Synchronization Maps

pending admin approval