Internal server (Home Assistant etc.): domus
External server (Nextcloud etc.): nimbus
Router/firewall: murus

If they tell law enforcement they can’t produce an unencrypted copy and it’s later proven that they could, the potential penalty would likely be more severe than anything they could have gained by using the data themselves. And any employee (or third party they tried to sell the data to) could rat them out—so they’d have to keep the information within a circle too small to make use of it at scale. And even if it never leaked, hackers would eventually find and exploit the backdoor, exposing its existence. And in either case they’d also have to face lawsuits from shareholders (rightly) complaining that they were never warned of the legal risk.

I believe so—see Wake-on-LAN.

While [Trump-supporting Proton] CEO Andy Yen’s recent public statements have raised my hackles more than a little, Proton remains structurally committed to privacy, encryption, and user control, ensuring its ecosystem stays independent of political shifts.

That’s a pretty weak definition of “Trump-proof”.

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Anyone using DeepSeek as a service the same way proprietary LLMs like ChatGPT are used is missing the point. The game-changer isn’t that the Chinese company DeepSeek can compete with OpenAI and its ilk as an AI service provider—it’s that now any organization with a few million dollars to train and host their own model can compete with OpenAI.

One under-appreciated aspect of Docker is that it forces you to document all your setup steps in your dockerfile and docker-config files.

I thought they were talking about the elementary particle—I was afraid we’d have to find some other way of manifesting our physical existence.

I haven’t tried it because I’ve read a lot of negative discussions of it—and because (by my understanding) the only reasonable use case would be if there were a large number of users and each user is likely to have copies of the same files but don’t want to expose their files to each other (so you can’t just manually de-dupe).

the tech community keeps waiting for everyday people to take the baton of self-hosting. They never will—because the effort and cost of maintaining self-hosted services far exceeds the skill and interest of the audience.

The same argument could have been used a century ago to claim that everyday people would never switch from trains to private cars, because the effort and cost of maintaining a car exceeds the skill and interest of most travelers. That may have been true at one point, and may be true again in the future—but it’s contingent on changing circumstances, not a categorical truth.

You could set it to use your own DNS server, and have the server block anything not on a whitelist.

So… a business card?

The fallacy is imagining that “lawfulness” is an attribute that can be reliably detected on an implementation level.

All ai projects should be forced to show the entirety of their training data.

Agreed—but note that in this case the information was only discovered because the organizations involved (Common Crawl and LAION) do show their data. We should assume that proprietary data sets have similar issues—but this case should be seen as an opportunity to improve one of the rare open data sets, not to penalize its openness and further entrench proprietary sources.