ℍ𝕂-𝟞𝟝

Oh, there are those as well, I’m not dunking on juniors.

It’s just that my problems always tend to be caused by mismanagement of people.

Like just today I had to clean up after a “let’s do a quick and dirty experiment, oh it works so now it’s production, make 200 more features in a month built on top of the quick and dirty let’s just try it code, what do you mean we lost millions because of a regression nobody even noticed” situation.

Yeah that shit is more common than people think.

A big part of the business of cloud providers is that most orgs have no idea how to do shit. Their enterprise consultants are also wildly variable in competence.

There was also a large amount of useless bullshit that I needed to cut down since being hired at my current spot, but the amount of containers is actually warranted. We do have that traffic, which is both happy and sad, since while business is booming, I have to deal with this.

I know using work as an example is cheating, but around 1400-1500 to 5000-6000 depending on load throughout the day.

At home it’s 12.

The people who would be okay with this already don’t own computers, they go with a phone.

rmdir ./~

Couldn’t we buy from Taiwan? Or better yet, build our own devices with Taiwanese processors. It’s much harder to spy if the supplied components are simpler and the device is opaque to them but transparent to us.

If you look at what AI does, however, it’s mostly classification.

Not necessarily, a huge use case is regulation and control in the engineering, not the political sense. Like driverless cars, independently flying drones and such. And yeah, they need classification subsystems under the hood to work, but their ultimate outputs are complex control signals, not simple classes.

And don’t get me wrong, I also like ML and AI as a field, I just don’t like how OpenAI fucked the field with text generators that they got Silicon Valley to worship like gods. I even like LLMs, just not the grotesquely outsized cult around them.

AI is an adequate solution to a problem that has no other similarly adequate solutions (classification of complex information).

Sentiment analysis machines and such have been around before LLMs and eat much less electricity.

LLMs taken over the “AI” label so much that any success from a machine learning context is attributed to it, while it actually defunds and kills research out of ML all into LLMs.

Excel used to have, and I think it still has, localised function names.

Makes it a nightmare to look up stuff on the Internet.

With a JS-based query language, yeah

I’ve a slight manageable case of ADHD and I tend to obsessively hyperfocus on tasks. It’s a good relationship because I get a lot of shit done well, and enjoy my work.

If you start forcing me to plan out my day every day, down to 15 minute increments, my productivity drops by around 60%, because I stop concentrating on getting shit done, and start working to rule. Not because I’m vindictive, but because that’s what you asked me to do.

So they got their feelings satisfied with only a major annoyance to everyone and about a month of work wasted among everyone.

Definitely, and I’m saying that while my jobs were mostly on NoSQL and I love doing it.

My point is more that 90% of use cases don’t need that, and for those that do, you can’t just slap eg. Cassandra at it and pretend it’s a relational database.

MongoDB is huge though for all the wrong reasons, businesses think that just because it’s JS, they can just have frontend devs - sorry, they are “fullstack” now - doing DBA work.

I worked as one of two NoSQL DBAs for a Fortune 50 finance company, and there is a ton of CV-driven development going on giving NoSQL a bad name. Most use cases don’t need NoSQL. And for those which do, NoSQL is almost always harder to implement than simple SQL based RDBMSs.

I stand corrected. Thanks.

NoSQL has always been a niche use case thing.

For some stuff, no ACID is no problem. They have their place. What I’m more suspicious of is things like Google offering distributed databases that they pretend as if they could break the CAP theorem.

MS hasn’t released an Office version outside 365 for 8 years.

365 is Office for them.

Yeah but it doesn’t matter what the objective of the scraper is, the only thing that matters is that it’s an automated client that is going to send mass requests to you. If it wasn’t, Anubis would not be a problem for it.

The effect is the same, increased hosting costs and less access for legitimate clients. And sites want to defend against it.

That said, it is not mandatory, you can avoid using Anubis as a host. Nobody is forcing you to use it. And as someone who regularly gets locked out of services because I use a VPN, Anubis is one of the least intrusive protection methods out there.

The dotcom bubble’s time still had some US antitrust enforcement, like with Microsoft and its browser dominance. It was an easier time.

I feel this attempt might be more successful.