Can We Put the BIGGEST Problem Into a BOOK??.... I DID

Tue, 24 Mar 2026 07:14:27 +0000

My debut book, titled "Model Collapse," delves into the intricate concept of model collapse, enriched with profound philosophical insights. It explores the phenomenon from both a technical and contemplative perspective, weaving together analytical rigor and thought-provoking reflections. This unique blend invites readers to not only understand the mechanics of the subject but also to ponder its deeper implications on knowledge, perception, and reality itself. The work is available in both English and Arabic editions, making it accessible to a diverse audience eager to engage with its multifaceted exploration

Here for English from amazon (eBook & Paperback): https://a.co/d/03hDeza0

Here for Arabic from lulu store (Paperback): https://lnkd.in/eCN8Zp38

IF AI Eating Its Own Brain - I SOLVED this!!

Sun, 01 Feb 2026 20:10:47 +0000

By 2035, 90% of the internet will be synthetic "slop". The AI Collapse isn't a theory anymore; I proved it mathematically.

I am a 16-year-old researcher and programmer. While Big Tech is busy building bigger models, I went back to First Principles to answer one terrifying question: What happens when AI feeds on its own output?

The answer is "AI Cannibalism". In this video, I demonstrate "The Ainex Limit"—a geometric flaw in current LLMs that leads to inevitable semantic decay. But I didn't just find the problem. I built the solution.

Introducing Ainex: A Fluid AI architecture based on Thermodynamics (Entropy Minimization) that resists chaos and stays grounded in reality.

What you will see in this video:

The Proof: Visualizing AI Hallucination & Geometric Collapse.

The Experiment: Running the "Ainex Protocol" on a Tesla P100 GPU.

The Solution: How "Liquid Topologies" prevent the death of Intelligence.

This isn't just code. This is a survival guide for the future of Intelligence.

Project Resources:

GitHub Repository: To view the code, data, and replicate the experiment yourself:
https://github.com/mhh1430hacker/Ainex-Limit-Experiment

Zenodo Archive:
The official reference for research papers and data
(DOI: 10.5281/zenodo.18157801):
https://zenodo.org/record/18157801

Detailed Research Papers:

Methodology: The Ainex Limit: Geometric Proof of LLM Semantic Collapse
Theoretical Proof: The Al-Haji Structural Divergence: A Unified Mathematical Proof. You can read the abstract and technical explanation here: https://dev.to/mhh1430hacker/i-broke-gpt-2-how-i-proved-semantic-collapse-using-geometry-the-ainex-limit-4kj5

This research is referenced in Awesome-LLM: https://github.com/Hannibal046/Awesome-LLM/pulls

About the researcher: Mahdi Hassan Al-Hajji, an independent researcher in the field of Computational Intelligence.
Contact: Emails are not allowed

X: @Mhh1430

Timestamps:
0:00 - The Dead Internet Theory (57% Bots)
0:39 - The Problem: AI Cannibalism & Autophagy
1:21 - The Flaw: Why Static AI Fails (Rigidity Penalty)
2:40 - The Solution: Introducing Ainex Architecture
3:17 - The Physics: "The Salmon Equation" Explained
4:15 - The Experiment: Tesla P100 Simulation Test
5:40 - The Proof: Visualizing Entropy Decay

6:40 - Final Verdict: Join the Resistance

AIModelCollapse #Ainex #ArtificialIntelligence #Python #MachineLearning #FutureOfAI #code #AI #MachineLearning #ModelCollapse #AinexLimit #ArtificialIntelligence #Research #Python #DataScience

Coder Legion - Recent posts tagged ainex

Can We Put the BIGGEST Problem Into a BOOK??.... I DID

IF AI Eating Its Own Brain - I SOLVED this!!

X: @Mhh1430

6:40 - Final Verdict: Join the Resistance

AIModelCollapse #Ainex #ArtificialIntelligence #Python #MachineLearning #FutureOfAI #code #AI #MachineLearning #ModelCollapse #AinexLimit #ArtificialIntelligence #Research #Python #DataScience