Ayushman Mukherjee

By Ayushman Mukherjee My name is Ayushman Mukherjee. I’m fifteen years old, I live in Kolkata, India, and I spend most of my time building things that most people my age haven’t heard of yet — deterministic CPU kernels, zero-knowledge proof systems, semantic chunking toolkits, and enterprise AI governance infrastructure. I’m not writing this to impress anyone. I’m writing this because I believe the best way to introduce yourself in 2026 is to simply show what you’ve built. Where It Started I didn’t grow ...

Somewhere between doomposting threads and billion dollar GPU clusters, we forgot something important. AGI is not a vibe. It is not a demo. It is not a guy on X tweeting that models feel “different now.” It is a pile of very specific papers. So I went through a 25 paper ranked report called Best AGI Research Papers Across arXiv and Major Platforms filecite turn0file0 and instead of pretending to read it, I actually did. Here is the real story of how we got here. Chapter 1 The Paper That Accidentally Start...

Abstract Modern large language models (LLMs) have redefined the limits of AI, but their training remains chained to GPU clusters, massive energy budgets, and backpropagation-heavy workflows. N3L (No-Backprop, No-GPU, Low-Rank Local Learning) introduces a radically different paradigm: enabling adaptation and fine-tuning of huge transformer models entirely on CPUs or NPUs with minimal memory and compute cost. This article outlines the philosophy, design principles, and implications of N3L, without disclosi...