…That customization loop — where the assistant learns from user behavior and becomes more capable over time — is the same dynamic that has made consumer AI tools sticky; the more you invest in…
…Due to the sensitive nature of notifications content, the model was trained using synthetic data generated by the Gemini large language model (LLM). The training data was evaluated against real notifications Chrome…
…The model responds based on whatever got retrieved. Of course, where it’s a different experience from NotebookLM is that the model still has all of its training data. NotebookLM is source…
Security How we estimate the risk from prompt injection attacks on AI systems Jan 29, 2025 · the Agentic AI Security Team at Google DeepMind Modern AI systems, like Gemini, are more capable…
Hi HN,I built Aura-IDE, a native desktop LLM coding harness for AI assisted software engineering.The idea is not just “chat with your codebase.” Aura wraps models in a structured engineering loop:repo awareness → Planner…
!UPDATE!(20.05.2026) WE HAVE NEW NUMBERS FROM 1.500+ TESTS IT'S WORKING! check my update post https://www.reddit.com/r/LocalLLaMA/s/AyNOehjkYT Or the go straight to the my Github https://github.com/OttoRenner/Gentle-Codi…
…its behavior and (thanks to a series of new security enhancements) limits its access to a designated “workspace” directory, it’s all too easy to change that behavior, and…
…Microsoft Copilot, Google Gemini, and Salesforce Einstein are examples of AI capabilities that may have been introduced after the original vendor review, often without a separate security evaluation. A simple employee survey…
…What do you think of this behavior? More on Google Search: Google scraps ‘What people suggest’ feature that pulled health tips from Reddit using AI Google is making source links a bit…
…One month it’s ChatGPT Plus, the next it’s Claude Pro, then Gemini Advanced looks tempting, and suddenly testing models feels less like curiosity and more like managing a tiny streaming…
…Cloud models that sit behind Claude, ChatGPT, Gemini , and others are trained on massive datasets, and that requires considerable compute, which is the reason we're in the middle of a hardware…
…We also expanded cloud capabilities via Firebase AI Logic, allowing developers to leverage Gemini models with robust grounding (including URL, Maps, and web search) to build smarter, more capable assistants. Furthermore, we…
