… This is why Google is combining AI throughout the vulnerability-management process with faster releases and new ways of applying updates: the aim is to get a patch onto users' systems before attackers can discover and exploit the same vulnerability. …
… It started with Discover Sources The feature I praised is the one I should've side-eyed Now, I'm in no way claiming that NotebookLM woke up one morning and abandoned everything that made it good. …
… With Opal, Google promised to "empower anyone to discover, build, and deploy AI mini apps" without having to look "at a single line of code." Interestingly enough, describing Opal as a tool to "deploy AI mini apps" feels slightly reductive and rather commercial in its framing. …
… I clicked Discover, entered the car model, and NotebookLM displayed all the relevant articles and user reviews from different forums on the web. Neat, isn’t it? I was also surprised when I asked for the kerb weight of the vehicle. It showed a detailed breakdown of kerb weight for each variant. …
… In most cases, search starts working again right away. The problem is that Google will quietly reinstall the update in the background, so it's important to also disable auto-updates for that app. …
… And with the much-awaited arrival of Gemini in Android Auto , I can’t wait to see how Google takes the entire note-taking experience to the next level. …
… Google says the payoff shows up in its own benchmarks: an average win rate of over 65% against the prior system across its top five evaluation dimensions, including 69.9% on large document analysis and 78.2% on advanced web research and source discovery. …
… The ‘Everything Browser’ was supposed to be the ultimate convenience, where I have one window for email, documents, research, and entertainment. …
… What I discovered wasn't that one model was better than the other; it was that value and capability aren't always the same thing. My testing setup Hardware, models, and tasks When comparing local AI models , it's easy to get distracted by benchmark scores and parameter counts. …
… After all, companies seem desperate to gobble up as much training data as possible for AI, so it wouldn't exactly be surprising. …