Are models commoditizing? We asked four panelists at ModCon, from Google DeepMind, MiniMax, Poolside, and Reflection AI, and asked where they see innovation coming from, whether that's data, post-training, or somewhere else:
We spent 90 minutes at Monday's community meeting watching developers demo the impressive projects they've built with Mojo, including work supported by the Modular Community Grant Program:
1. Floki (Mikhail) is an HTTP client built on libcurl. Its API is close to Python's
Our cofounder and CEO @clattner_llvm takes the keynote stage at The AI Conference @AIconference tomorrow at 10:05 AM in Theater 1.
His talk, "Opening the AI Compute Stack with MAX and Mojo," covers why the software layer will decide the future of AI compute. He'll introduce Mojo
Monday's community meeting showcases several standout community projects, including:
• floki: an HTTP client for Mojo that works like Python's requests library, supported by the Modular Community Grant Program
• noeira: an end-to-end physical AI stack in Mojo - physics,
