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#privacy

384 posts277 participants10 posts today

Jedna z věcí, co mám na Mastodonu fakt rád: filtrování obsahu.

Nechceš vidět nějaký hashtag, slovo nebo frázi?
Stačí si to přidat do filtrů v nastavení.
Bez algoritmů, bez cenzury – čistě podle toho, co si nastavíš ty.

Filtr můžeš nastavit jako dočasný (až na 7 dní) nebo trvalý (nikdy nevyprší).
A navíc si zvolíš, jestli se má příspěvek skrýt úplně, nebo označit varováním.

Typický příklad: nechceš vidět #eurovision nebo #ai? Není problém.
Na pár dní, nebo navždy – ty rozhoduješ.

Tohle je svoboda a kontrola nad obsahem, jak má být.

lifehacker.com/tech/the-best-h

Kagi offers some good Reasons to pay for search:

- See AI results only when you need to
- Remove AI generated images from search results
- Try search filters to fine tune results
- Hide clickbait from videos
- Create lenses to refine results
- Tweak results to your liking
- keyboard shortcuts
- Use redirects to reduce annoyances
- Use the Privacy Pass for anonymity

Lifehacker · Why I Pay for Kagi, the Ad-Free Google Search AlternativeKagi is a paid search engine, which offers a good alternative to Google search. You can use these 10 hidden features in Kagi to get your money's worth from the search engine.

I just went to pick up a prescription at #CVS and I went to give them my new insurance info and they already have it. I am _certain_ no one in my family gave it to them. That is… disturbing.
Most people would probably be like, "Oh, how convenient," but I'm like, "Wow, there are all sorts of privacy issues here."
#privacy #healthInsurance

"Now consider the chatbot therapist: what are its privacy safeguards? Well, the companies may make some promises about what they will and won't do with the transcripts of your AI sessions, but they are lying. Of course they're lying! AI companies lie about what their technology can do (of course). They lie about what their technologies will do. They lie about money. But most of all, they lie about data.

There is no subject on which AI companies have been more consistently, flagrantly, grotesquely dishonest than training data. When it comes to getting more data, AI companies will lie, cheat and steal in ways that would seem hacky if you wrote them into fiction, like they were pulp-novel dope fiends:
(...)
But it's not just people struggling with their mental health who shouldn't be sharing sensitive data with chatbots – it's everyone. All those business applications that AI companies are pushing, the kind where you entrust an AI with your firm's most commercially sensitive data? Are you crazy? These companies will not only leak that data, they'll sell it to your competition. Hell, Microsoft already does this with Office365 analytics:
(...)
These companies lie all the time about everything, but the thing they lie most about is how they handle sensitive data. It's wild that anyone has to be reminded of this. Letting AI companies handle your sensitive data is like turning arsonists loose in your library with a can of gasoline, a book of matches, and a pinky-promise that this time, they won't set anything on fire."

pluralistic.net/2025/04/01/doc

pluralistic.netPluralistic: Anyone who trusts an AI therapist needs their head examined (01 Apr 2025) – Pluralistic: Daily links from Cory Doctorow

"It is now time to fix it for good. A new solution has been proposed: partitioning visited link history. This approach fundamentally changes how browsers store and expose visited link data. Instead of maintaining a global list, web browsers will store visited links with a triple-key partition:

- Link URL. The destination of the visited link.
- Top-Level Site. The domain of the main browsing context.
- Frame Origin. The origin of the frame rendering the link.

A link is only styled as :visited if it was visited from the same top-level site and frame origin (...) This approach guarantees isolation and works well with the web's same-origin policy. The system records only navigations initiated by link clicks or scripts—excluding direct address bar entries or bookmark navigations.

Key benefits of this model include: strong protection against cross-site history leaks, solving for good of many known side-channel attacks, support for meaningful styling within trusted, same-context domains, conforming to established web privacy principles and data protection regulations.

This feature is already implemented in Chrome (v132, behind a #partition-visited-link-database-with-self-links flag). I am confident that in 2025 we are going to have this privacy headache solved once and for all."

blog.lukaszolejnik.com/fixing-

Security, Privacy & Tech Inquiries · Fixing web browser history leaksWeb browsing history powers helpful features like styling visited links differently, allowing users to see where they've been before. While this usability feature provides navigational benefits, it also introduces a privacy risk. The handling of visited links happened to be a silent backdoor of a kind, allowing malicious sites to