According to @AIatMeta, Solo Tech has been named one of ten international recipients of the second Llama Impact Grants, enabling the deployment of Llama-powered offline, multilingual AI solutions in 50 rural centers with limited internet access. This initiative is expected to increase AI accessibility and digital inclusion in underserved regions, potentially creating new market opportunities for AI and technology service providers focused on emerging markets (source: AI at Meta, April 30, 2025).

According to @JeffDean, the Gemma 3 27B model, previously only runnable on a single cloud H100 GPU, has been optimized with Quantization Aware Training (QAT) to fit on a home GPU like the RTX 3090. This breakthrough enables traders and developers to leverage the model's advanced capabilities directly from their desktops, potentially impacting algorithmic trading efficiency and data analysis. The optimization details and setup guidance are available via @ollama.