Note that this is different from Gemeinfreiheit, where a copyrighted work essentially becomes public domain 70 years after the death of its creator.

This complaint is about a different law (§ 8 TDDDG), that explicitly forbids selling and owning devices that are designed as every-day objects and that can record sound and/or video and that.

Can you never tell anybody and just slap a license on it? Sure.

The issue here is not the license, but that you violate their ToS (if that is valid and enforceable is a different question of course). But if you publish the LLM output on github, and someone else takes it to train their LLM, and you did not actively encourage or help them, it's fine.

There might be a few exceptions, if you really guided your model in a certain particular way, but that is rare.

What /could/ be is that you violate their ToS. If that ToS is valid and legally and practically enforceable is a different question and will depend a lot on your jurisdiction.

Solar is cheaper, but requires more room and time to spin up (think datacenters, where you can put a turbine within a month) and storage or backups for windless nights.

Batteries are still open. While they do get cheaper, there is still a lot of room to improve. And battery chemistry is something where a lot of research, trial and error, healthy intuition is necessary. I'd say that is more a field where an AI based approach might make sense.

There are so few sites where I really need cross-site logins to work that an opt-in would be much more preferable.

Have all sites set cookies on whichever third party they want, but don't share those cookies over. Add an explicit "Do you really want foo.com to share data with bar.com?" if you really need to see those facebook comments on your news site.

That is true not only for ASML, but for the semiconductor industry in general. The number of smaller, specialized companies for certain tools, chemicals and software is staggering. And they sit all over the US, Europe, Japan, Taiwan and Korea.

This is similar to games, where large learning models had some of their first big wins (go). Games, like math, have strict rules that can be used to prune invalid outputs.

It is already in the making, the next big step in math will be the complete formalization of all existing, relevant theorems and proofs via LLMs.

Buyers don't just pop up on timestamp zero and remain unchanged. They anticipate price changes, potential new buyers come in, the market is dynamic.

I also don't understand why this only affects monopolies. The same logic should dictate that all products and services fall towards MC?

That, plus engineering and support: a robust implementation, deployment on almost any system, fast and good long-term support so your factory doesn't stop for too long if something goes wrong etc.

It's not that difficult, our industrial OCR model read it correctly on its first attempt with default parameters. The characters are easily separable, there is no structured background (think expiration dates on yogurt aluminum lids) that confuses the reader, there is no almost-text-like texture anywhere that would clutter the result. The font is also nice and standard.

They already collect and track you, even with car play. I strongly recommend this CCC talk, where they hacked a Volkswagen database that contained unfiltered, high-accuracy, timestamped locations of a large majority of electric cars from VW group.

Based on that they were, for example, able to identify cars owned by members of Germany's security apparatus: where they work, where they live, where they drop off their children each morning. Who visited brothels.

https://www.youtube.com/watch?v=SGzoXbbth0s&t=30m