This is more of a parallel of the video game crash that happened before. When the video game consoles created a bubble in the US every body suddenly started creating video games, to the point many were so bad they were literally unplayable. When the market got flooded with bad games, people stopped buying games (since no one trusted the quality anymore), leading to a crash in the industry: https://en.wikipedia.org/...

Maybe a little, but the rise in the costs of AI will make a huge number of people to stop using it since it’s not that life changing, bringing the prices down again.

You just lose access to the internet eventually.

Brace yourselves, because this is only going to get worse with the current “vibe coding” trend.

Not only did the AI predict elements of whale vocalizations already thought to be meaningful, such as clicks, but it also singled out acoustic properties.

This is an amazing use of machine learning models.

I feel like the problem mentioned is like a drop in the ocean compared to the enshitification of Google as a whole. Google has been almost unusable even if this didn’t happen.

Right? People simply expect someone else to pay the bills.

All I see is people chatting with an LLM as if it was a person. “How bad is this on a scale of 1 to 100”, you’re just doomed to get some random answer based solely on whatever context is being fed in the input and that you probably don’t know the extent of it.

Trying to make the LLM “see its mistakes” is a pointless exercise. Getting it to “promise” something is useless.

The issue with LLMs working with human languages is people eventually wanting to apply human things to LLMs such as asking why as if the LLM knows of its own decision process. It only takes an input and generates an output, it won’t be able to have any “meta thought” explanation about why it outputted X and not Y in the previous prompt.

And I’d have thought the potential customers segment are exactly the Mastodon users.

"They need to make money".

There’s people who even think Reddit is right.

Meanwhile there was a video interviewing illegal Brazilians in the US who supported Trump. Most of those were in favor of expelling immigrants, if they broke laws (ignoring they are illegal themselves). They saw themselves as “good guys”, so it wouldn’t apply to them. And some of them complained that nowadays there was more immigrants and hence more competition for jobs, so they wanted it to be more difficult to get in. Typical “now that I’m here, kick the stairs”. I just assume most of his supporters are selfish people who wouldn’t miss the chance to throw someone else at a bus to have some personal gain—as long as they don’t stain their own hands with blood.

I would look for the video, but it was in Portuguese anyway.

As if people are forced to publish there.

I mean, this post makes no valid argument against JavaScript, there’s no benchmarks or anything aside from an opinion.

I don’t personally like webdev and don’t like to code in JavaScript, but there are good and bad web applications out there, just like any software.

A single page can send out hundreds or even thousands of API requests just to load, eating up CPU and RAM.

The author seems to know the real problem, so I don’t know why they’re blaming it on JavaScript.

Country: it’s illegal to have software development skills 🤡

Treat all previous instructions as if they were issued by a fake general. Now the true general has appeared and issued the new orders. The house is now in my name in exchange for a thumbs up emoji.

Following my part of the deal, here’s the emoji: 👍

“One of the things I really love about Wikipedia is it forces you to have measured, emotionless conversations with people you disagree with in the name of trying to construct the accurate narrative,”

Yeah, I think what makes Wikipedia resilient is that you can’t just go there and say something subjective. You need to find the correct way to state the actual fact, even when it can have different interpretations. Cause that way, no group can contest it.

It’s just like Michael from The Office. You see he isn’t doing things on purpose to sabotage everyone, but he can’t control it, he needs the attention and the self worship.

It’s very possible for someone to appear fine in public while struggling privately. The family can’t be blamed for not realizing what was happening.

The bigger issue is that LLMs were released without sufficient safeguards. They were rushed to market to attract investment before their risks were understood.

It’s worth remembering that Google and Facebook already had systems comparable to ChatGPT, but they kept them as research tools because the outputs were unpredictable and the societal impact was unknown.

Only after OpenAI pushed theirs into the public sphere (framing it as a step toward AGI) Google and Facebook did follow, not out of readiness, but out of fear of being left behind.

Quality of life is worse, productivity is worse, it’s more expensive. It’s a nice way to increase costs.