Meta FAIR just won first place at the Algonauts 2025 brain modeling competition with TRIBE, a 1B-parameter multimodal model. By fusing Llama 3.2, V-JEPA 2, and audio features, it accurately predicts complex fMRI brain activity while people watch movies. The full code and research paper are already available.
Meta and Booz Allen just launched a fine-tuned version of Llama 3.2 aboard the International Space Station. Dubbed "Space Llama," the multimodal system runs entirely offline on HPE space computers with Nvidia acceleration, slashing processing time from minutes to just over a second. Why it matters: It proves open-source edge AI can keep critical missions running in places where the cloud simply can't reach.
San Francisco AI startup Deep Cogito just emerged from stealth and open-sourced Cogito v1, a lineup of hybrid reasoning models ranging from 3B to 70B parameters. Trained on top of Llama with an AlphaGo-style self-play loop, the models toggle between instant answers and deep reflection while adding native tool calling.
