About Julia Turc

---

AI explainer videos from a former Google Research engineer, now startup founder. Expect American optimism with a solid dose of Eastern European cynicism.

Find (free) supplemental materials (slide decks, paper reading lists, Colab notebooks) on Patreon 👉 https://www.patreon.com/c/JuliaTurc

Hierarchical Reasoning Model: Substance or Hype?

📚 Free resources (reading list + visuals): https://www.patreon.com/c/JuliaTurc 📃 HRM paper: https://arxiv.org/abs/2506.21734 ▶️ Yacine's YouTube channel: https://www.youtube.com/@deeplearningexplained In this video, we dive into the Hierarchical Reasoning Model (HRM), a new architecture from Sapie…

---

The physics behind diffusion models

Diffusion models build on the same mathematical framework as physical diffusion. In this video, we get to the core of the connection between the physics of motion and generative AI. Topics covered: • The intuition of probability landscapes (data as peaks, noise as valleys) • Forward diffusion: h…

---

Reverse-engineering GGUF | Post-Training Quantization

The first comprehensive explainer for the GGUF quantization ecosystem. GGUF quantization is currently the most popular tool for Post-Training Quantization. GGUF is actually a binary file format for quantized models, sitting on top of GGML (a lean PyTorch alternative) and llama.cpp (an LLM inferenc…

---