thanks for clarifying! that’s really helpful!

haha nice. I’ll try that next time

gotcha, thanks for clarifying :)

“NOPE” as in “not a dark pattern” or as in “I’m not touching this site”? if former, can you clarify on the reason?

can you clarify on the 7?

thanks for confirming my suspicion. as for your question, conda in general is good for installing non-python binaries when needed, and managing env. I don’t use anaconda but it provides a good enough interface for beginners and folks without much coding experience. It’s usually the easiest to use that than other variants for them, or the python route of setting up environments

If you’ve never worked before, this can be considered practice runs for the when you do.

Like one of the other commentors said, assume everything is accessible by Google and/or your university (and later, your boss, company, organization, …).

And not just you, but the people who interact with you through it. So that means you may be able to put up defenses, but if they don’t (and they most likely do not), the data that you interact with them would likely be accessible as well.

So here are some potential suggestions to minimize private-data access by Google/university while still being able to work with others (adjust things depending on your threat model of course):

• use Google Workspace services only for collaboration and for official business communication
• don’t link things that may be personal, such as Google Map, Youtube, Search history, Browser, …
• if more sensitive things need to be shared with other people, use more private/encrypted solutions that you like or the university suggests. You should use the latter if it’s still “business”-related, e.g. communicate about medical research data with PII
• if there are communications that need sensitive information (eg HR documents, tax documents), ask them (a) if you can bring the sensitive documents to them, (b) or if the university has an encrypted solution, or © if you can use your own encrypted solution (eg put files on protondrive and you give them the appropriate folder password in person)
• go through all Google privacy and security settings every 6 months or so, and turn off what you don’t need (there are usually a bunch of guides for that). Note: every 6 months because there may be new stuff that they add
• turn off all the AI integrated features (sometimes called smart features) in Google services like Mail, GDoc, …
• avoid using GDrive for storage of personal files - if you need to, try to encrypt them before uploading
• you may find there are other people like you; and if you work with them, try to ask whether they are comfortable with alternatives or if they have anything suggestions. However, this is usually rare in most fields, so keep your expectations low for this
• use the multi-account containers in Firefox to containerize all stuff related to university account in one container. Don’t use Google Chrome; if you must you Chromium, there are other “forks?” that you can try
• use UBlock Origin and block unnecessary Google services (you’ll have to play around with this a lot)
• avoid clicking on links in emails if possible, but instead copy them by selecting them (or the right click, copy). This is an unfounded suspicion, Google may track what links you click on

I’m also curious. A quick search came up with these. Not sure which one is most reliable/updated

• https://www.comparitech.com/blog/information-security/global-ransomware-attacks/
• https://www.comparitech.com/ransomware-attack-map/
• https://cissm.liquifiedapps.com/
• https://cybermap.kaspersky.com/special/ransomware

Many things are called “AI models” nowadays (unfortunately due to the hype). I wouldn’t dismiss the tools and methodology yet.

That said, the article (or the researchers) did a disservice to the analysis by not including a link to the report (and code) that outlines the methodology and how the distribution of similarities look. I couldn’t find a link in the article and a quick search didn’t turn up anything.

you should try to ask the same question using xAI / Grok if possible. May also ask ChatGPT about Altman as well

Based on this reddit comment, that website is not affiliated with the magic-wormhole CLI tool

re 1: out of curiosity, do you encounter dnsleaks when using wireguard?

re 4: you can also check out https://starship.rs/, which helps configure shell prompt very intuitively with a toml file.

As much as I despise snap, this instance bring some questions into how other popular cross-linux platform app stores like flathub and nix-channels/packages provide guardrails against malwares.

I’m aware flathub has a “verified” checks for packages from the same maintainers/developers, but I’m unsure about nix-channels. Even then, flathub packages are not reviewed by anyone, are they?

Not related to warp, but just out of curiosity, which protocols have you tried? In one or two univs I visited, I had to switch to TCP instead UDP for it to work. Not sure why.

Others have mentioned using interactive tools like zoxide to easily get to frequently visited directories.

In addition, I also use nnn (https://github.com/jarun/nnn), which is a terminal file manager that you can navigate through. You can create shortcuts, snippets and bookmarks with this. I use this and zoxide + fzf regularly on CLI to navigate.

Some here also mention ranger, which is another terminal file manager. In my limited experience with ranger, I feel like the start up time is much slower than nnn; but I haven’t tried much. Tho with ranger + graphic-accelerated terminals like kitty, I believe you can preview images and files, which seems to be a great feature. So it depends on your need.

a follow might be: Do the people know better vote? Can they?

to add on to this, cheat with some similar functions to tldr but also allows editing and writing one’s one cheat sheet

omg that is lovely. Kinda like https://regex101.com/ for regular expressions.

lol I know it’s a GUI. I asked not to be snarky but to know whether functionally they do the same thing, so I/people who have used the CLI can evaluate whether we miss anything when using that command.

what’s the difference between flatsweep and using flatpak uninstall —unused —delete-data?