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.
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
On OLED screens, black pixels may actually be off, potentially reducing total light exposure significantly. Any studies about whether that’s good for you?
https://crabby-rathbun.github.io/mjrathbun-website/blog/post...