

It doesn’t make sense which is why people believe Google has ulterior motives. I haven’t seen any real reason not to use jxl as the new format; but I also haven’t looked that far into it. ¯\(ツ)/¯
It doesn’t make sense which is why people believe Google has ulterior motives. I haven’t seen any real reason not to use jxl as the new format; but I also haven’t looked that far into it. ¯\(ツ)/¯
You might have grabbed the wrong iso. There are two ISOs for Ubuntu, one is desktop which comes with a desktop and the other is server which only comes with a text console.
You can install a desktop onto a server image if necessary, however I would recommend just using a desktop iso and don’t bother with adding on and setting up all the desktop software.
If you want to be able to select text, copy and paste, I just SSH from Windows Terminal or Mac iTerm2
Alternatively if it is a desktop iso then you might have accidentally installed a package that broke things or have gone a tty interface. There’s so many different possibilities it’s going to be hard to help more.
Wow, it makes sense but definitely not good at all
Also another factor is heavy vehicles. I don’t have the article or video, but I remember hearing that a majority of road damage comes from heavy vehicles. I believe the video was also comparing roads to Rome roads where it wasn’t that they were built better (although volcanic ash did help) it’s that horses and people are way less heavy than the 3,000+lb vehicles we have going almost 24/7.
Less road damage would mean less containments/pollution and less need for repair. So the future might be seeing more public transit and more rail transit for materials/products which would mean wherever we need to add more road or re do sections we would replace it with the greener option or potential normal asphalt since it wouldn’t need to be touched for another 20,30,40+ years.
Just an fyi bmp280 is not real temperature but an estimation based on air pressure.
Attention Is All You Need: https://arxiv.org/abs/1706.03762
https://en.wikipedia.org/wiki/Attention_Is_All_You_Need
From my understanding all of these language models can be simplified down to just: “Based on all known writing what’s the most likely word or phrase based on the current text”. Prompt engineering and other fancy words equates to changing the averages that the statistics give. So by threatening these models it changes the weighting such that the produced text more closely resembles threatening words and phrases that was used in the dataset (or something along those lines).
https://poloclub.github.io/transformer-explainer/