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Transformers Explained Visually(poloclub.github.io)
576 points by aray07 | 85 comments
Transformer Explainer is an interactive in-browser visualization that runs GPT-2 and shows how embeddings, multi-head self-attention, and MLP layers process text.
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What are transformer models and how do they work?(txt.cohere.ai)
380 points by tomcam | 91 comments
Cohere blog post explaining what transformer models are and how they work in natural language processing.
RustGPT: A pure-Rust transformer LLM built from scratch(github.com)
357 points by amazonhut | 170 comments
GitHub repository for RustGPT, a transformer-based large language model written entirely in Rust from scratch.
Deep learning gets the glory, deep fact checking gets ignored(rachel.fast.ai)
549 points by chmaynard | 134 comments
Rachel Thomas blog post on how a high-profile Nature paper using a Transformer to predict enzyme functions contained many errors that received far less attention than the original result.
GPT-6 Astra, looped transformers, and hidden reasoning(magazine.sebastianraschka.com)
491 points by ModelForge | 158 comments
Sebastian Raschka's Ahead of AI newsletter post examining OpenAI's GPT-6 Astra, looped transformers with recurrent depth, and hidden chain-of-thought reasoning research.
MeshGPT: Generating triangle meshes with decoder-only transformers(nihalsid.github.io)
684 points by jackcook | 148 comments
Project page for MeshGPT, a research paper from TU Munich, Politecnico di Torino and Audi that generates triangle meshes using decoder-only transformers.
GPT-5.2 derives a new result in theoretical physics(openai.com)
545 points by davidbarker | 369 comments
OpenAI post announcing that GPT-5.2 derived a new result in theoretical physics; the captured page shows only a loading logo.












