Thank you very much for the additional details^^
Blep
Thank you very much for the additional details^^
For anyone interested, there are some image poisoning tools out there to protect (glaze as example) your att or even attack (nightshade as examle) ai models directly
Nope, the text is correct.
not (x or y) <=> (not x) and (not y)
not (x and y) <=> (not x) or (not y)
Edit: The parenthesis on the right side if the equivalence are only there to make it easier to read. Without those, the expression would be the same in this case
Once again an article missusing the word supervulcano. This time, already failing the to tell, what they actually are.
For those interested, a vulcano is considered as a supervulcano, when it had an erruption with a vulcanic explosivity indwx of 8 at least once (meaning releasing at least 1000 cubic kilometer of vulcanic materials). There are no known supervulcanos in Italy
Deserved (I grew up there)
Just wow… So if you look closely at the picture, you can barely see the number ‘563’ on the train. If you have a look at list of locomotives and railbuses iof DB on Wikipedia, you can see that this train is a Siemens Mireo.
Now, let’s take the headline apart. Is it the first all-electric trai… no! Is it the first accumulator train? Also no, as you can see in the list above, the class 515 exists and the Stadler Flirt Akku has been used on a line since October 2023, Is it the first Siemens Mireo Plus B being used? You guess what, nope. As an example, SWEG is using some of them to bridge non-electrified parts of the track since April 2024.
So finally, what is special about the Gigatrain? (gosh, I actually really dislike that name) In February 2024, the subsidary ‘Smart Train Lease GmbH’ of Siemens Mobility has been announced. There you can also lease two Siemens Mireo Plus Bs. Tesla is their very first client. That’s it
Whoops, got longer as expected. In case I made small mistakes, feel free to point it out
Me using runit, I agree
Then people should actually ask for consent for using other’s art as training data