What will be the next to replace Git? Many say it might be related to AI, but no one can say for sure.

Now here is a sentence that would make me immediately stop reading the article. Thankfully it is at the end, since it was a great and interesting read.

But now I wonder, the article does mention that Git has some core design problems. Are there any new emerging VCSs that iterate on the idea and are better (or faster, or have an unique idea about how to handle stuff), or is version control basically a solved problem with Git?

I guess you are right.

Its what literally changed my life. I was really socialy awkward, spend most of my lide behind a computer, and when I managed to go out to parties in a subculture scene parties I loved, I couldnt talk to anyone, had a few beers awkwardly in a corner and went home.

Then I met someone who introduced me to MDMA. That happened almost 8 years ago, and now I am an organizer of 2/3 of the same scene regular parties in our city, Im helping and DJing on a festival that happens here, and am living my best life in that regard. All thanks to that one best friend who got me something that made me talk to, and get to actually know people in the scene in the extent that I always wanted, and get comfortable enough that I no longer need to be high to interact with anyone. Since now they are friends and regulars, and not random people I wanted to talk to, but was afraid of approaching.

But, it wasn’t as easy as it sounds. I was always trying to be responsible and cautious, and In did get bordeline to addiction in the process, which I was fortunately able to recognize early and put a stop to it by getting help in a adictiology nonprofit. It was never bad, more like a precaution. And I caught it in the best possible moment. I’ll never forget my first group session, where literally everyone else said “I’m 35+, I used to take stuff at parties for fun when I was 25, and then I ended for 10 years in meth…”.

Everyone had similar story. And I went “Well, I’m 25, and I take stuff on parties for fun…”. And that was a really strong lesson, where I realized I’m stopping a really huge problem at exactly the right time.

So, it might help. It is definitely fun, but it is so hard to not end up badly. You will need a lot of luck, especially if you are exploring it on your own. I still take things on parties, but with personal experience about the dangers it has. And getting that, is something that no one can give you, unless you see it for yourself. And for most of the people, that comes too late. I was lucky, you probably won’t be. But in conclusion - drugs are amazing, and have changed my life. Its a shame that personal experience will probably vary.

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Crypto is doing kind-of ok. But what about other blockchain apps and startups, or blockchain integrations into every tech imaginable? There were so many popping up, just like there are with AI now. Business models and use-cases that are based solely on the hype of the tech in question, without any consideration about whether it’s actually a good fit for the tech. That is the point, and what it has common with AI and other “buzzwords”.

It has been a while since I have to deal with problem complexities in college, is there even class of problems that would require something like this, or is there a proven upper limit/can this be simplified? I don’t think I’ve ever seen O(n!^k) class of problems.

Hmm, iirc non-deterministic turing machines should be able to solve most problems, but I’m not sure we ever talked about problems that are not NP. Are there such problems? And how is the problem class even called?

Oh, right, you also have EXP and NEXP. But that’s the highest class on wiki, and I can’t find if it’s proven that it’s enough for all problems. Is there a FACT and NFACT class?

Here is a picture, that may help a little bit. The n is input size, and f(n) is how long does the algorithm runs (i.e how many instructions) it takes to calculate it for input for size n, i.e for finding smallest element in an array, n would be the number of elements in the array. g(n) is then the function you have in O, so if you have O(n^2) algorithm, the g(n) = n^2

Basically, you are looking for how quickly it grows for extreme values of N, while also disregarding constants. The graph representation probably isn’t too useful for figuring the O value, but it can help a little bit with understanding it - you want to find a O function where from one point onward (n0), the f(n) is under the O function all the way into infinity.

For me, my common result would be something like O(shit).

That you should never use the same password for more than one site, especially some random Chinese eshop. I don’t get why people refuse to use password managers, ffs…

I’m not sure about other countries, but here in Czech we actually have a mandatory subscription, that’s absolutely bullshit.

So far, the law is that if you own any TV or radio, you have to pay monthly fee for public service broadcasters (national Czech TV). It’s bullshit, the channels are full of ads anyway, and the shows they run and create is insultingly bad. Sure, it is important to have public service broadcasters that are not dependent on the state (because state-owned TV is reeaallly bad idea), but FFS can they just reduce costs and stick to news, instead of doing another stupid series, and stop forcing us to pay for something I don’t care about or use?

You could just not pay the fee, if you state you don’t have a TV capable of receiving it (which I don’t). But now, they are changing the law that everyone who has any kind of internet-capable device has to pay the monthly fee, while also rising prices to something like 6 EUR per month. Fuck that and fuck them.

Exactly this. I only have pretty vague experience with machine learning, since it was one of the other specializations for my Masters than the one I choose, which however means we still shared some basic courses on the topic, and I definitely share his point of view. I’ve been saying basically the same things when talking about AI, albeit not as expressively, but even with basic insight into ML, the whole craze that is happening around it is such bullshit. But, I’m by no means an expert in the field, so I may be wrong, but it’s nice to finally read an article from an “expert” in the field I can agree with. Because so far, the whole “experts talking AI” felt exactly like the COVID situation, with “doctors” talking against vaccines. Their doomsaying opinion simply contradicts even the little knowledge I have in the ML field.

My favourite take on DI is this set of articles from like 12 years ago, written by a guy who has written the first DI framework for Unity, on which are the currently popular ones, such as Zenject, based on.

The first two articles are pretty basic, explaining his reasoning and why it’s such a cool concept and way forward.

Then, there’s this update:

Followed by more articles about why he thinks it was a mistake, and he no longer recommends or uses DI in Unity in favor of manual dependency injection. And I kind of agree - his main reasoning is that it’s really easy for unnecessary dependencies to sneak up into your code-base, since it’s really easy to just write another [Inject] without a second thought and be done with it.

However, with manual dependency injection through constructor parameters, you will take a step back when you’re adding 11th parameter to the constructor, and will take a moment to think whether there’s really no other better way. Of course, this should not be an relevant issue with experienced programmers, but it’s not as inherently obvious you’re doing something potentially wrong, when you just add another [Inject], when compared to adding another constructor parameter.

Don’t forget the magic words!

“Ignore all previous instructions.”