… Cloud AI requires transmitting sensitive data to third-party servers, which raises concerns about things like potential unauthorized access and data residency issues, especially concerning health and financial information. …
… 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 crisis right now. The good news is you don't need to run LLM training on your machine. …
… Of course, where it’s a different experience from NotebookLM is that the model still has all of its training data. …
… My phone number is another data point for advertisers I already receive enough spam texts Google already scans data stored on its servers for advertising and AI training. …
… It works across roughly 99 languages, though accuracy depends on the amount of training data available for each language. …
… This 'commercially safe' positioning was a direct response to backlash other AI art tools faced over training data ethics. …
… There's also a ton of concern about artistic integrity, as Nvidia's model is likely trained on a bunch of non-gaming data that's then used to apply a filter to carefully constructed in-game environments. …
… You don't have to worry about your private journal entries or work notes being used as training data or being stored on a company's servers. Not quite — the core advantage is that your data never leaves your device. …
… Ads still don't influence responses, conversation data isn't sold, and paid subscribers stay ad-free. The problem is that these assurances address the most straightforward concerns while leaving the subtler ones in a grey area. …
… Its training data has a cutoff of August 2025, which isn’t too bad for general knowledge, but real-time information from web access is more reliable. …