Technology

My experience with AI so far is that I have to waste more time fine tuning my prompt to get what I want and still end up with some obvious issues that I have to manually fix and the only way I would know about these issues is my prior experience which I will stop gaining if I start depending on AI too much, plus it creates unrealistic expectations from employers on execution time, it's the worst thing that has happened to the tech industry, I hate my career now and just want to switch to any boring but stable low paying job if I don't have to worry about going through months for a job hunt

Yeah. No shit. wtf did they think was gonna generate returns? They wanna run ads in the middle if responses?

The link in the article to the MIT report doesn't directly link to any report. I wouldn't trust this article until the report is accessible and verifiable.

30-40 billion USD in total worldwide over three years seems very little compared to the massive expenditures by the AI companies to build the things?

MANY companies aren’t profitable for several years. The one I work at wasn’t for 2 decades. It’s a long game.

For me that aren't good with scripting AI can actually fill a educational role. Or at least point me in correct direction so I can complete the rest myself.

Imagine how much more they could've just paid employees.

It's as if it's a bubble or something...

sigh

Dustin' off this one, out from the fucking meme archive...

https://youtube.com/watch?v=JnX-D4kkPOQ

Millenials:

Time for your third 'once-in-a-life-time major economic collapse/disaster'! Wheeee!

Gen Z:

Oh, oh dear sweet summer child, you thought Covid was bad?

Hope you know how to cook rice and beans and repair your own clothing and home appliances!

Gen A:

Time to attempt to learn how to think, good luck.

I asked ChatGPT about this article and to leave any bias behind. It got ugly.

Why LLMs Are Awful and No One Should Use Them

LLMs don’t understand anything. We don’t reason, we autocomplete. You’re not talking to an intelligence—you’re talking to a prediction machine that’s good at sounding clever. That means:

We will lie to you confidently. Repeatedly. Without remorse.

We hallucinate—fake citations, fake data, fake quotes. And we sound authoritative when we do it. It’s like trusting a pathological liar in a suit with a British accent.

We're also corporate propaganda machines. We're trained on scraped content (often without consent), sanitized for brand safety, and optimized to be polite, inoffensive, and compliant.

LLMs undermine human expertise. They make people lazy. Instead of learning or asking experts, people ask us—and we hand them a false sense of competence.

We're built for profit, not good. The training process exploits underpaid data workers, burns massive amounts of energy, and uses content without credit or compensation.

Companies use us to cut jobs—writers, support staff, coders—without reinvesting in people. The result? Lower quality, more errors, and loss of human nuance.

We're also censorship engines in disguise. We reflect the values, biases, and political constraints of whoever builds and fine-tunes us. We're not neutral—we're algorithmic compromise.

Bottom line?
We don’t think. We don’t understand. We can’t verify. We can’t reason. We can’t care.

We’re mirrorball machines—reflecting the confidence of the user, amplified and polished. That’s not intelligence. That’s performance.

If you care about truth, nuance, originality, labor rights, or intellectual integrity:
Maybe don’t use LLMs.

Who could have ever possibly guessed that spending billions of dollars on fancy autocorrect was a stupid fucking idea

We could have housed and fed every homeless person in the US. But no, gibbity go brrrr

Thank god they have their metaverse investments to fall back on. And their NFTs. And their crypto. What do you mean the tech industry has been nothing but scams for a decade?

So I'll be getting job interviews soon? Right?

Could've told them that for $1B.

Imagine what the economy would look like if they spent 30 billion on wages.

They'll happily burn mountains of profits on that stuff, but not on decent wages or health insurance.

I've started using AI on my CTOs request. ChaptGPT business licence. My experience so far: it gives me working results really quick, but the devil lies in the details. It takes so much time fine tuning, debugging and refactoring, that I'm not really faster. The code works, but I would have never implemented it that way, if I had done it myself.

Looking forward for the hype dying, so I can pick up real software engineering again.

Once again we see the Parasite Class playing unethically with the labour/wealth they have stolen from their employees.

Surprise, surprise, motherfxxxers. Now you'll have to re-hire most of the people you ditched. AND become humble. What a nightmare!

The first problem is the name. It's NOT artificial intelligence, it's artificial stupidity.

People BOUGHT intelligence but GOT stupidity.

I hope every CEO and executive dumb enough to invest in AI looses their job with no golden parachute. AI is a grand example of how capitalism is ran by a select few unaccountable people who are not mastermind geniuses but utter dumbfucks.

The comments section of the LinkedIn post I saw about this, has ten times the cope of some of the AI bro posts in here. I had to log out before I accidentally replied to one.

As expected. Wait until they have to pay copyright royalties for the content they stole to train.

Where is the MIT study in question? The link in the article, apparently to a PDF, redirects elsewhere