Explainer Videos

on AI Research Papers

🚀 Feeling overwhelmed by the constant flood of new AI papers? You’re not alone.

My process: I read the full paper, then use Google’s NotebookLM to help me analyze, question, and distill the core concepts. I turn that research into a short, easy-to-understand video summary, so you can get the key insights without spending hours on dense academic text.

This playlist is for you if you’re:

👉 A student or developer wanting to stay on the cutting edge.

👉 An AI enthusiast curious about the latest tech.

👉 A professional who needs to save time but stay informed.

Subscribe and hit the bell so you never miss a breakdown of the next big thing in AI!

Note: I only claim to have read the research paper and created a Video using AI tool. I am not the author. All intellectual heavy lifting was performed by the respective authors. 🙏

Group Sequence Policy Optimization

DINOv3: AI Seeing in HD

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation

Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

Drivel-ology:Challenging LLMs with Interpreting Nonsense with Depth

A Comprehensive Survey of Self-Evolving AI Agents

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