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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.
Related stories
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.
Show HN: Building a web search engine from scratch with 3B neural embeddings(blog.wilsonl.in)
578 points by wilsonzlin | 97 comments
Wilson Lin's blog post describing how he built a web search engine from scratch in two months using 3 billion neural embeddings.
Generative Models: What do they know? Do they know things? Let's find out(intrinsic-lora.github.io)
330 points by corysama | 106 comments
Project page for a research paper from TTIC and Adobe probing whether generative image models encode intrinsic scene properties like normals, depth, albedo and shading.
LegoGPT: Generating Physically Stable and Buildable Lego(avalovelace1.github.io)
530 points by nkko | 135 comments
Project page for LegoGPT, a Carnegie Mellon research model that generates physically stable, buildable LEGO structures from text prompts, with paper, code, and demo links.
Generative AI for Beginners(microsoft.github.io)
575 points by Anon84 | 86 comments
Microsoft's free 12-lesson course site teaching beginners how to build generative AI applications, covering LLMs, prompt engineering, and app design.
Kimi-K3 Technical Report [pdf](github.com)
344 points by vinhnx | 148 comments
GitHub-hosted PDF of Moonshot AI's technical report for Kimi K3, an open frontier large language model.











![Screenshot of github.com: Kimi-K3 Technical Report [pdf]](https://hn.urlbox.com/shots/renders/2026/7/27/25fa6302-639e-4963-8edf-f78a1d553706.jpg)