A chart titled "What Kind of Data Do AI Chatbots Collect?" lists and compares seven AI chatbots—Gemini, Claude, CoPilot, Deepseek, ChatGPT, Perplexity, and Grok—based on the types and number of data points they collect as of February 2025. The categories of data include: Contact Info, Location, Contacts, User Content, History, Identifiers, Diagnostics, Usage Data, Purchases, Other Data.
- Gemini: Collects all 10 data types; highest total at 22 data points
- Claude: Collects 7 types; 13 data points
- CoPilot: Collects 7 types; 12 data points
- Deepseek: Collects 6 types; 11 data points
- ChatGPT: Collects 6 types; 10 data points
- Perplexity: Collects 6 types; 10 data points
- Grok: Collects 4 types; 7 data points
If by more learning you mean learning
ollama run deepseek-r1:7bThen yeah, it's a pretty steep curve!
If you're a developer then you can also search "$MyFavDevEnv use local ai ollama" to find guides on setting up. I'm using Continue extension for VS Codium (or Code) but there's easy to use modules for Vim and Emacs and probably everything else as well.
The main problem is leveling your expectations. The full Deepseek is a 671b (that's billions of parameters) and the model weights (the thing you download when you pull an AI) are 404GB in size. You need so much RAM available to run one of those.
They make distilled models though, which are much smaller but still useful. The 14b is 9GB and runs fine with only 16GB of ram. They obviously aren't as impressive as the cloud hosted big versions though.
My assumption is always the person I am talking to is a normal window user who don't know what a terminal is. Most of them even freak out when they see "the black box with text on it". I guess on Lemmy the situation is better. It is just my bad habit.
Good point! That being said I'm wondering how we could help anybody, genuinely being inclusive, on how to transform that feeling of dread, basically "Oh, that's NOT for me!", to "Hmmm that's the challenging part but it seems worth it and potentially feasible, I should try". I believe it's important because in turn the "normal window user" could potentially understand limitations hidden to them until now. They would not instantly better understand how their computer work but the initial reaction would be different, namely considering a path of learning.
Any idea or good resources on that? How can we both demystify the terminal with a pleasant onboarding? How about a Web based tutorial that asks user to try side by side to manipulate files? They'd have their own desktop with their file manager on one side (if they want to) and the browser window with e.g. https://copy.sh/v86/ (WASM) this way they will lose no data no matter what.
Maybe such examples could be renaming files with ImagesHoliday_WrongName.123.jpg to ImagesHoliday_RightName.123.jpg then doing that for 10 files, then 100 files, thus showing that it does scale and enables ones to do things practically impossible without the terminal.
Another example could be combining commands, e.g. ls to see files then wc -l to count how many files are in directory. That would not be very exciting so then maybe generating an HTML file with the list of files and the file count.
Honestly I believe finding the right examples that genuinely showcases the power of the terminal, the agency it brings, is key!
No worries! You're probably right that it's better not to assume, and it's good of you to provide some different options.
Or if using flatpak, its an add-on for Alpaca. One click install, GUI management.
Windows users? By the time you understand how to locally install AI, you're probably knowledgeable enough to migrate to linux. What the heck is the point of using local AI for privacy while running windows?