I’m super happy with Kagi search. Even the AI summary is quite good as it’s based on the search results, not just made up from training data. Of course, it’s still a stupid LLM, so double check everthing. But i find it quite useful to get a grasp on the overall content of the results.

And search itself works well, haven’t had a moment where it was worse than one of the big providers. The dedicated forum, programming and other serchas are cool and i love being able to adjust the priority of pages or even blacklist them.

Also a housing bubble and real estate being one of the few investment vehicles available to regular chinese.

You misunderstand, the first two commands are just one time setup to install a specific python version and then to create an env using that version. After that all you need is `pyenv activate myenv´ to drop you into that env, which will use the correct python version and make sure everything is isolated from other environments you might have.

You can also just create an env with the system python version, but the question was specifically about managing multiple versions of python side by side and this makes that super easy.

You could also combine it with direnv to automatically drop you into the correct environment based on the folder you are in, so you don’t have to type anything after the initial setup.

But a lot of european countries are pushing pretty hard to not borrow and have a zero balance or positive budget. So e.g. Switzerland don’t sell that many bonds and yield on a lot of them is 0.5%, maybe 2% on long term ones vs around 4% for US ones.

pyenv and pyenv-virtualenv together solves this for me. Virtualenv with specific python versions that work together well with other tools like pip or poetry.

It boils down to something like

$ pyenv install 3.12.7
$ pyenv virtualenv 3.12.7 myenv
$ pyenv activate myenv

and at that point you can do regular python stuff like pip installing etc.

In addition to all the other comments, pumping warm water into natural bodies of water can also be bad for the environment.

i know of one nuclear powerplant that does this and it’s pretty bad for the coral population there.

You could give helix a try, feature/functionality wise it’s almost vim, but with 0 config needed and all commands easily discoverable which is closer to nano.

As someone who really tried to get into modal editors, both emacs and vim, for years, it was the first one where i was reasonably fast after a short time and it was easy to discover the keybindings.

It’s the most common communication tool for friends and family in much of europe

Slavery in the US before the civil war didn’t happen in a vacuum. There were slaves in the south that didn’t consume anything, producing goods that in a large part were exported to britain. And the money from that was used to buy more slaves and land. But some of it was used to buy goods and expertise from the north that the slave economy was lacking, which in turn drove industrialization in the north.

But i stand by my point that over time the artificially low prices due to slave labor causes outflows of money from the rest of the world, depriving workers in other countries of money/wages and causing them to spend less. So all those slaves would overproduce things that there isn’t demand anymore and it’s still worse for the rich fucks than if they had paid slaves a fair wages.

Just to be clear, I’m not saying such a system can’t exist or work, just that in the long run it’s worse for everyone, even the rich who thrive on exploiting poor people.

Sadly the billionaire class don’t seem to understand this and there’s not much to do other than teaching them by force every 50-150 years.

Well, profitable in the short term. If the lowly peons don’t have money because you took it all, they cant spend it on stuff from your factories and your profit goes down and everything grinds to a halt. of course you can try to sell it to other countries, which fucks over their economies and makes them more susceptible to populism/facism (well after an initial phase of excitement over those sweet cheap imports) and then it’s facism all around and everyone is fucked. You just need to plan it well enough so you’re on your private island/mars colony with robot butlers by that point

‘Programming from the ground up’ the main idea of this one is to teach programming in a bottom up way, so very low level.

it’s mostly about teaching (linux) assembly to beginners, so in a way it is just learning a new language. But it’s mainly about understanding low level how a computer works, like registers, kernel calls, how function calls are handled, all for beginners. It’s really easy to pick up.

Knowing those fundamentals can go a long way in understanding other computing concepts.

Others that come to mind are :

• Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
• A Philosophy of Software Design
• Software Architecture: The Hard Parts"

There was a recent paper that argues ‘bullshitting’ is the most apt analogy. I.e. telling something to satisfy the other person without caring about the truth content of what you say

Wait, this makes it sound like you were doing it by hand? There’s quite a few tools to do that for you, e.g. https://github.com/j0be/PowerDeleteSuite

I always thought the Mer de Glace at the Mont Blanc illustrates this really well. You arrive and there’s a sign “the glacier was here in 1910” and that’s where tourists back then.

To get to the actual glacier, you have to eall down many flights of metal stairs for about half an hour and there’s several signs for different years, 1950, 1990, 2002, 2006, 2009, 2012, 2014, 2015, something like this, with the years between each sign getting shorter but the distance staying roughly the same. And from the top it’s really far away.

Of course, once you actually reach the glacier, you get to the main attraction, a 3m diameter tunnel they bored 100m deep into it as a tourist attraction with ice sculptures inside. Above the tunnel you can see the remains of the tunnel from the previous year, half melted…

Uhm, this came out as part of a law suit against them by the record industry? So they are in the process of being sued.

While not surprising, the admission, which was made as part of court proceedings responding to a massive recording industry lawsuit against the company, shows yet again that many AI tools are trained on, essentially, anything that companies can get their hands on.

It’s not. A single miner often has like 4 GPUs running at 100% load, 24/7 and I doubt someone will build a 100 Megawatt facility with thousands of computers to get fallout tokens.

Though it is the same thing in the sense of running computer to generate worthless digital tokens. The main difference in that sense is that fallout tokens do actually have a use(in game)!

Have you tried Jellyfin? It’s a FOSS fork of emby, so pretty much a drop in replacement and it’s been working very well for me.

Personally I use jellyfin as a backend, with the web interface and jellyfin app as frontend. Plus Kodi as an additional frontend for my beamer, with the Kodi Jellyfin plugin and Yatse remote to make it feel more like a TV.

Might have been this? https://youtu.be/9-sbJ-xpnq8?si=eht5W2NCqYG6W-hq

Just to add to this, because it’s fascinating. GPS satellites signals are about as strong as radiation from a light bulb, 20000km away. The signal that arrives on earth is 20db weaker than the noise floor, so background noise is a lot stronger than the signal is.

The way it works is that the background noise is random and the signal is repeated many times a second, so you can split the signal and add it together. The random background noise averages out and you’re left with a strong signal. But due to this, it’s enough to have a very weak signal that adds non random noise on the correct frequency for it to just break.

And actually what I desribed above is just the first layer of a GPS signal, it gets a lot more complicated with signals within signals, it’s pretty crazy how well it works. this is an amazing write uo on how the signal actually works, in case anyone is interested

In addition to other answers, keep in mind that Tesla gets credits relative to how far below the average carbon footprint their cars are and sell those credits to manufacturers of cars with more emissions. So in a way a part of the reduced liferime emissions are “gone” before the cars drive for the first time