Episode notes
Today’s story sounds wild, shrinking an AI model can make it dangerous… but researchers at UC Riverside found a way to retrain it without the original data. Also, Google quietly dropped a new model that can run full RAG search on your phone, even offline.
We’ll talk about:
- How open-source AI models become risky when trimmed down
- The fix that helps models "remember" how to stay safe — no filters needed
- Google's new EmbeddingGemma: a powerful multilingual embedding model under 500M params
- Why mobile RAG is the next frontier, and what it means for private, local AI apps
Keywords: EmbeddingGemma, RAG, AI safety, on-device AI, UC Riverside, Google Gemma, open-source AI, Claude, semantic search, AI Fire
Links:
Keywords
ClaudeAI safetyRAGopen-source AIMirage AIGemma 3EmbeddingGemmaon-device AIAI Fire