It’s one of the reasons I still keep a few reddit accounts but I’ve come to the same conclusions. Nobody listens. They’d rather mental gymnastic their way around the contradictions before their very eyes than see the plain truth that reddit is a hive of right wing troll jobs.

Corporate malpractice doesn’t seem to register with a certain percentage of the population. Not unless they experience direct harm from it.

Perhaps because those people would do the same if they were in Zucks position.

It reminds me of a study I read a long time ago where students from certain fields had different interpretations of what’s construed as lying or cheating. I remember they found that business students have a much lower bar for what’s considered right and wrong.

STEM students had a much higher bar. These days I find it hard to believe tech would fit among that group anymore.

The difference was hundreds of MB, but when you’re working with 8GB every bit counts. At that time KDE had an edge over Gnome. At some point the difference wasn’t there anymore.

I was rationing what software I had open so as to avoid hitting swap because that’s when there’s a noticeable lag. Gnome was worse at recovering from that.

8GB was barely enough 10 years ago. That’s when I switched to Arch+KDE. Then KDE started using more. memory.

Kind of tangential to the topic but reddit has been appropriating user names for celebrities and companies. The first known instance (as far as I know) was u/borat. I was surprised thiskind of thing wasn’t a bigger deal.

I wouldn’t be surprised if u/paulmccartney is such a case. A basic name that’s only a 5 year old account. No way nobody grabbed that before.

It makes more sense when viewed as a fancy autocomplete, not an intelligence. There’s no intelligence behind it that is reading your statement and understanding your meaning. It’s responding with text that mathematically likely matches some sort of reply that would fit your statement.

Your statement included Y and the algorithm landed on result that includes Y. There’s no intelligence that could understand that you meant no Y.

That bullshit about the model getting fine tuned just means they are data mining you. It doesn’t make the more LLM intelligent. All it does is add your data to their dataset of which the LLM can draw from for possible future replies. The fundamental limitations of the technology still exists.

The internet is never not a shitshow when it comes to women.

Except when it comes to a country like India or Japan. Then it’s all like nodding and agreement that those men are creeps who need to be restrained.

You start from “China bad” and the work backwards to fit your narrative. It’s almost pointless having discussion online on anything about China.

They’re not reading but looking for keywords. People with low literacy do that.

The end social media maybe. It’s fundamentally broken anyways. They can keep breaking it worse for all I care.

We’re not meant to be ruled by algorithms. It was a stupid idea to listen to antisocial neckbeards selling the world on how they could master sociology with graph theory. These are the same geniuses who deride soft sciences as not real science.

The rich people’s secret sex island was a pop culture conspiracy theory for a long time. The Simpsons is based on referencing pop culture. This isn’t that deep.

Pretty much what people already know by now. Algorithms find optimal ways to manipulate you.

The two ingredients are data and a way to measure the thing you’re trying to optimize. Machine learning is used to find optimal ways to keep people engaged in internet platforms. In other words they’re like designer drugs.

Worse than designer drugs. They’re continuously self optimizing because they keep measuring the results and making adjustments so the result stays optimal. As long as they have a continuous feed of recent data, the algorithm evolves to find the optimal solution.

That’s why recklessly giving away your personal data is dangerous. Let’s say the system notices you’ve been spending 1 microsecond less time engaged in screen time. The system will adjust to make sure they’ve reclaimed that 1 microsecond of your day.

It will show you things that tend to keep you engaged. How does it know that? Because you give it the data it needs to measure what keeps you online more. That data is based on every interaction with your phone or computer which is logged.

It’s worse than substance abuse because you never develop a tolerance. If you do then the algorithm has already adapted to find the next thing that keeps you engaged in the most optimal way.

It’s not just engagement. It’s whatever target you want to optimize for. As long as you have the two ingredients. Data and metrics.

That’s why data is called the new oil. Or was it gold rush? I can’t remember. It’s been called this since the early 2000s maybe.

LLM AI isn’t so scary when you know that they’ve been using AI against us for a very long time already. If more of the world understood all this better, we’d all have quit to study poetry already.

I haven’t looked at Discord since December after getting into an argument. So perfect timing I guess.

The platform is ass anyways. Monetized features everywhere.

Reddit is State Department agitprop. This leak is probably a tiny fraction of their operations on reddit.

It’s crazy how successful that platform is because nobody suspects it. Redditors all hate the other social media platforms. They cannot fathom that reddit is just as bad or worse.

But why is that. Is it the illusion of control. Because ostensibly its a user curated site. Because they think they have voting power. All of these things have proven to be completely false time and again. Yet the illusion of reddit persists.

There doesn’t need to be a replacement for everything. How much does the world need to revolve around a random person’s hot-take in 140 characters or as many seconds. These are artificial walls.

Before the tech industry set its sights on AI, “hallucination” was called error rate.

It’s the rate at which the model incorrectly labelled outputs. But of course the tech industry being what it is needs to come up with alternative words that spin doctor bad things into not bad things. So what the field of AI for decades had been calling error rate, everyone now calls “hallucinations”. Error has far worse optics than hallucination. Nobody would be buying this LLM garbage if every article posted about it included paragraphs about how its full of errors.

That’s the thing people need to learn.

Do you want the cool shit from Star Trek’s imaginary future or not?

You lost me there. Conflating a fictional future utopia with the product your trying to sell is cheap trick.

Anyone who uses this bad faith tactic loses all credibility. Post read and disregarded.

People get offended whenever I’ve said that even random app developers are part of the problem. They can’t or won’t see that what we have arrived at is a Kafkesque world. It has been death by millions of papercuts. The collective rush to make an “app for everything” was in net effect building a global surveillance dragnet. It was inevitable the aggregate of data would turned into an authoritarian system of oppression.

All you wanted to do was make a 99 cents a sale for your basic phone app. You blindly stuffed it with copy-paste analytics APIs that voraciously collect data from users without transparency at all. You insisted that these random data brokers are 100% super honest. Just trust them, bro. You ridiculed anyone of trying to warn people how reckless this is. Good job, guys.

It would be one thing for a corporation to misuse the term open source as they’ve been doing lately. It’s pretty bad for one of the biggest and oldest tech news sites to be doing it.