Doesn’t North Koreans fighting in Ukraine mean that North Korea now is at war with Ukraine? Wouldn’t that legitimize a Ukrainian invasion of North Korea? Could we ship some Ukrainians to North Korea and have them do a lot of damage there; including offer asylums to anyone who wants to get out?

After checking that you can open port 53 udp yourself with, say, nc (which you tried), strace the binary that tries to open port 53 and fails, and find the system call that fails. You can compare it with an strace on nc to see how it differs.

If this doesn’t clue you in (e.g., you see two attempts to listen to the same port…) Next step would be to find in the source code where it fails (look for the error message printout) and start adding diagnostic printouts before the failing system call and compile and run your edited version.

You are made of doesn’t matter.

I understand LLaMA and some other models come with instructions that say that they cannot be used commercially. But, unless the creators can show that you have formally accepted a license agreement to that effect, on what legal grounds can that be enforceable?

If we look at the direction US law is moving, it seems the current legal theory is that AI generated works fall in the public domain. That means restricting their use commercially should be impossible regardless of other circumstances - public domain means that anyone can use them for anything. (But it also means that your commercial use isn’t protected from others likewise using the exact same output).

If we instead look at what possible legal grounds restrictions on the output of these models could be based on if you didn’t agree to a license agreement to access the model. Copyright don’t restrict use, it restricts redistribution. The creators of LLMs cannot reasonably take the position that output created from their models is a derivative work of the model, when their model itself is created from copyrighted works, many of which they have no right to redistribute. The whole basis of LLMs rest on that “training data” -> “model” produces a model that isn’t encumbered by the copyright of the training data. How can one take that position and simultaneously belive “model” -> “inferred output” produces copyright encumbered output? That would be a fundamentally inconsistent view.

(Note: the above is not legal advice, only free-form discussion.)

AutoNomous Ultra inStinct ram

Cortana is/was by far the best name of the digital assistants - probably because it was created by sci-fi story writers rather than a marketing department. They should just have upgraded her with the latest AI tech and trained her to show the same kind of sassy personality as in the games and it would have been perfect.

Who in their right mind thinks “Bing copilot” is a better name? It makes me picture something like the blow-up autopilot from Airplane!

I like calling it “x-twitter”, as it is short and makes sense when reading it out.

So, what you are saying is that by checking this trust API, we can filter out everyone running unaltered big-media approved browsers and hardware? We’d end up splitting the web into two disjoint parts, one for big corporate and sheeple - and one more akin to the web of old comprised by skilled tech people and hobbyists? A rift that could finally bring an end to eternal September? … Are we sure this proposal a bad thing?