As a run-up to the #AIActionSummit, @Criteo organized a symposium on Trustworthy AI, featuring viewpoints from Science, Legal, and Public Policy. Here are the highlights of the day : techblog.criteo.com/trustworthy-ai… cc Criteo AI Lab Masha Vladimirova Liva Ralaivola Jean-Yves Franceschi

We made a Guide to teach you how to Fine-tune LLMs correctly! Learn about: • Choosing the right parameters & training method • RL, GRPO, DPO & CPT • Data prep, Overfitting & Evaluation • Training with Unsloth & deploy on vLLM, Ollama, Open WebUI 🔗 docs.unsloth.ai/get-started/fi…

Reading research papers shouldn't feel like learning a new language Introducing real-time AI voice chat for arXiv papers 🎙️ Talk directly about any research paper in any language. Ask questions and request explanations, all through natural conversation 🚀

First-Class Verification Dialects for MLIR users.cs.utah.edu/~regehr/papers… mlir.llvm.org/docs/Dialects/… Mathieu Fehr, Yuyou Fan (Yuyou Fan), Hugo Pompougnac, John Regehr (mastodon.social/@regehr/114378…), Tobias Grosser PLDI 2025

Learn hands-on GPU programming in Mojo🔥 by solving puzzles🧩! Start here: builds.modular.com/puzzles

The Future of Compute Portability x.com/i/broadcasts/1…

Check out Modular's GPU Programming comics - such a fun way to portrait a complex topic. comic.modular.com Modular #gpucomic

It was fun to nerd out with Richard of Software Unscripted about programming languages in the modern era. At timestamp 46:01 I answer a FAQ: Why care about programming languages in the age of AI coding tools? Let me know what you think!

In order to celebrate the release of the print version for the Ultra-Scale Playbook (of which I have no affiliation with and love deeply), I'm going to be giving away 5 copies! To enter, simply like + retweet this tweet. Winners will be selected at random 10AM EST on the 13th

We know that one of the biggest barriers to programming GPUs is access to hardware: "Code you’ve written for NVIDIA or AMD GPUs should now mostly just work on an Apple🍎 Silicon GPU, assuming no device-specific features were being used." Preview here:👇 forum.modular.com/t/apple-silico…

Kristopher Micinski -- DEFUNCT Not sure how much you've tinkered with MLIR, but if you're 100% new, Jeremy Kun ([email protected])'s blog post series is great. The GitHub repo is here with links to each of the blog posts: github.com/j2kun/mlir-tut…

From an idea to powering world-leading AI models and cutting-edge accelerators — Mojo has come a long way. Now, Mojo 1.0 is on the horizon: stability, open-source plans, and new tooling for developers everywhere. Read our latest blog post to explore the road to 1.0 ⬇️

Jeff Dean Bookmarked! Another good resource is Algorithmica en.algorithmica.org/hpc/

Oh, you're writing CUDA kernels? Everyone's on Triton now. Just kidding, we're all on Mojo. We're using cuTile. We're using ROCm. We have an in-house DSL compiler targeting the NVGPU MLIR dialect but wait, Tile IR just dropped so we're going to target that instead. Our PM is on

Aw snap Unsloth AI and Daniel Han ! Modular is coming for you! modular.com/blog/how-i-bea…

The journey that started a long time ago as sparse compilation, enriched with new ideas by so many others along the way, continues with the introduction of the Universal Sparse Tensor (UST) type. developer.nvidia.com/blog/establish…

If you work with MLIR and like programming with agents, try the Context7 MCP. LLMs have historically been abysmal at MLIR (probably due to lack of training data), but Context7 helps the agent discover APIs and use them correctly. The same goes for any relatively niche library.

Released pyncd/tsncd today. We now have a way to manage deep learning algorithms algebraically! The code on the left renders into the diagram on the right. Mismatched domain/codomains are automatically managed under the hood.

Mojo in Jupyter is here 🙌 Jeremy Howard released a new Jupyter kernel that lets you run Mojo directly in notebooks. It works great on macOS, supports recent Linux versions, and is easy to install via pip or uv. Give it a try and let us know what you build!

Mojo 🔥 just added a powerful new reflection capability that can synthesize trait conformances for you. In other languages, this is only available to compiler authors. Maxim Zaks breaks down how Mojo makes metaprogramming explicit and accessible: mzaks.medium.com/when-magic-bec…