It's important to distinguish the DeepSeek App from the open-weight models, which are released under very liberal licenses, and you have full control of where data fed to the model goes, e.g. stays in the USA.
that might solve your sourcing problem, but now you need to have faith it will draw conclusions and parallels from the material accurately. That seems even harder than the original problem; I'll stick with decent search on quality source material.
The solution is a citation mechanism that points you directly where in the source material it comes from (which is what we tried to build). Easy verification is important for AI to have a net-benefit to productivity IMO.
Indeed, the main drawback of the various Deep Research implementation is the quality of sources is determined by SEO, which is often sketchy. Often the user has insight on what the right sources are and they may even be off-line on your computer.
We built an alternative to do Deep Research (https://radpod.ai) on data you provide, instead of relying on Web results. We found this works a lot better in terms of quality of answers as the user can control the source quality.
Co-founder here, would love to hear your feedback (discord: https://discord.gg/eMKbW7T9wG), and for you to share interesting threads and share your own Pods.
Hangouts started as a video app for Google Plus where you would just hangout and others would join after you posted you were hanging out on your stream. Then it subsumed gchat. Then video moved to other apps, eventually Meet
There were many. Google Meet, Google Hangouts Meet, Duo, Hangouts on Air video chatting, and even in 2008 Gmail had video chat https://www.technologizer.com/2008/11/11/gmail-adds-voice-an..., now there is a non-Hangouts Meet button banner integrated into Gmail wasting 10% of screen real estate of your inbox on Android's limited size screens.
Not as well as I would have expected tbh - see the trint link above, it's pretty good but there are lots of errors, so correcting it is quite time consuming.
