Google squeezes multimodal AI onto your phone

🔥 What happened Google DeepMind dropped EmbeddingGemma 2: a 740M-parameter open multimodal embedding model that maps text, images, audio, and video into one shared vector space. Runs locally on a Pixel 11 Pro using just ~567MB RAM. 💡 Why it matters The predecessor hit 20 million downloads. Version 2 jumps nearly 10 points on code benchmarks and shrinks vectors down to 128 dimensions via Matryoshka truncation — 6x less storage. On-device RAG without the cloud just became practical. ⚡ Our take Google is quietly building a local AI stack while everyone obsesses over cloud agents. If you're still shipping embeddings to an API in 2026, you're paying twice — in dollars and latency.