“Small family maps” correspond to almost 90% in the “number of farms” graph and 21% in “value of production” graph, how else can anyone read it?

Even if it is true now, it is changing and very rapidly.

By your link, 90% of farms produce 21% of producs. So yeah, most farms are owned by corpos, if we apply the meaning correctly

There are several content creators that started with short video and then moved on on Youtube that I just love and adore. Their short stuff is good. But when they aren’t constrained by the format and can do whatever they want, they do videos that are so much better it’s unbelievable.

They might target it to specific areas. The gerrymandering software is so good this days, with access to all the data you can predict pretty accurately how any area is going to vote

Despite everything, Telegram is actually great. It’s only bloated if you’re using the features on the device, the client is opensource and there are native apps for any platform, it’s very lightweight compared to other messengers and even to some dedicated filesharing solutions, it sends stuff p2p on the same network so you don’t need to care about the traffic, but also it allows for on-demand downloads so if you want the stuff will be available outside of your network.
Alternatively, kdeconnect, but I find myself using Telegram instead 9 times out of 10, even though I have both installed.

Or alternatively it’s a win of messaging, it’s so easy and convenient it can be easily used for the purposes not intended

Yeah, the scary thing about LLMs is that by their very nature they sound convincing and it’s very easy to fall into a trap, we as humans are hardwired to misconstrue the ability to talk smoothly for intelligence, and when computer started to speak with complete sentences and hold the immediate context of a conversation, we immediately started to think that we have a thinking machine and started believing it.
The worst thing is, there are legit uses for all the machine learning stuff and LLMs in particular, so we can’t just throw it all out of the window, we will have to collectively adapt to this very convincing randomness machine that is just here all the time

As someone with degrees and decades of experience, I urge you not use it for that. It’s a cleverly disguised randomness machine, it will give you incorrect information that will be indistinguishable from truth because “truth” is never the criteria that it can use, but be convincing is. It will seed those untruths into you and unlearning bad practices that you picked up at the beginning might take years and cost you a career. And since you’re just starting, you have no idea how to pick up bullshit from truth as long as the final result seem to work, and that’s the works way to hide the bullshit from you.
The field is already very accessible for everyone who wants to learn it, the amount of guides, examples, teaching courses, very useful youtube videos with thick Indian accent is already enormous, and most of them are at least trying to self-correct, while LLM actively doesn’t, in fact it’s trying to do the opposite.
Best case scenario you’re learning inefficiently, worst case scenario you aren’t learning at all

Don’t overestimate LLMs, it can’t code and never will be. It can create templates convincingly enough and do boilerplate parts that are nonsense only sometimes, but those aren’t the fun parts of the coding process anyway. In my experience, LLM isn’t helping at all and I spend more time fixing it’s nonsense than I would do if I don’t use it at all, so I don’t

And for the crime of being send to death they should be punished by not having the newest divers. That’ll show them.

But social media don’t have to burn tar. They chose to because this way they can get more money, but it’s not an inherent part of the system, it’s an exploitation of it for profit, and can be separated

Better stop scientific advances then

Bitcoin is anything but reliable and independent. And it’s 2% for the miniscule inconsequential amount of transactions it does compared to the amount of transactions happening.

I think it died because of technical problems more than anything. We didn’t have batteries good enough back then, and the screen wasn’t all that good. It was heavy, it had problems with overheating and it worked for couple of hours tops

Or so Apple says