No it wasn't, shitty bosses were and AI was their excuse.
slurp
joined 2 years ago
You can install it without issue. There might be an issue if you set it to be your default Python 3 installation but that should be the only potential issue.
The other commenter isn't wrong but it might also be better to use Anaconda so your setup better matches what the course expects.
Not a full solution, but painters tape to seal the gaps might stop further nest building
I think you are underestimating the added complexity and cost. Radio telescopes aren't like optical ones, they are huge arrays of dishes covering a vast area, and a key aspect to them is that they are relatively cheap. Space telescopes cost billions, last less time, cost far more to run, and often can't (reasonably) be repaired.
The unfortunate truth is that we will end up picking between furthering our knowledge and furthering private wealth, because even if we put some in space, it would be prohibitively expensive to match what we have on earth.
CachyOS has been very good for me for a similar purpose
Work isn't the only value to society - they can be a part of their community, do art, or anything else. Everyone wants to engage with the world to some extent, and thay is the value they add.
The question in my mind is how long can a universal income be put off as more gets automated? How many will fall through the cracks before something is done?
I have two and they have had endless connection issues. Also, the DAC in splitters is terrible, so this requires a USB-C splitter followed by an external DAC. It's pretty unwieldy.
Also, on my previous phone without a jack the USB-C port started having charging issues after a couple of years due to wear. I'd be less annoyed about it if they had multiple USB-C ports, but a single port device is a bad idea in general.
Literally daily
Flip is all sample based but the best one I know of
No it won't, or it already does. AI is a meaningless term used to sell bullshit, so can we please use better definitions? Machine learning models will? Generative ML? Stuff hosted by a large company? There's no way they're counting all the small ML models all around the world, and sometimes (sadly, rarely) "AI" can save energy vs the alternative. How has everyone collectively lost their ability to think when it comes to this shit?
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One thing I've seen people talking about is the metadata library, which is apparently very good