Same goes for Google and the others. They have a tribe or flock or cult. All the tech companies want that or have it to some degree. Though some are more obvious.

Finally some progress. Hope other schools and districts follow suit.

Those poor bustards! Glad to see the recovery efforts have taken, even though I knew nothing about them before this video. Also, this was a great human made collaborative piece of art!

AI companies are feeding into each other and just circulating money. Not sure if that relates to the so called “doom loop.”

True. I guess her logic was just not very easy to understand (in my opinion any way), as it combined multiple topics into what should have been one point.

The paradox of needing experience to get work and work to get experience has been going on some time now. Unfortunately, now companies have an excuse not to hire for entry level positions and therefore not train people up. Although, surely there will be need for entry level positions to grind through mountains of AI output to correct its mistakes. Which is not necessarily the best training, but at least it would be something rather than just not hiring people. Though, many companies probably won’t realize there are mistakes for a while, after which it will probably have skipped past a bunch of recent graduates.

https://www.forbes.com/sites/dianehamilton/2025/03/01/are-entry-level-jobs-going-away-the-hidden-workforce-shift/

That is true, but then why specify a generation in that sentence? Illnesses are experienced by people of every generation. Maybe she is generalizing in that she thinks only people from those generations are in entry level jobs. I just seems odd to add that into a statement that could have been exclusively about LLMs, not about getting sick. Though that said, LLMs are not “immune” to going down for some time due to unexpected external input (e.g. hackers) or internal issues (e.g. buggy code).

All the other issues people already pointed out about this post, there is another point that I didn’t see mentioned. One, among many, dumb things she wrote was basically that Gen Z and Gen Alpha are the only ones who take sick leave. So is she saying other people from other generations just work through their illnesses to the companies benefit and their own (and others) detriment? Mating in reading to far into something that sounds like a stream of consciousness.

I would also like to add another key difference between human learning and machine learning. When I, as a person, read a book, I can conceptually understand the story. A machine would digest that same book by, for example, counting the numbers of times each word comes after another and assigning probabilities to occurrences or words or basic sentences. The major differences are still being explored. We don’t fully understand how humans learn, fundamentally. We know somewhat mechanisticly that neurons share and process chemical signals, but we don’t know how that information is interpreted or stored. We don’t know the equivalent of a computer language of the neurons (or other tissue types that may also learn). We know that we require input to learn, as do computers, the similarities kind of end there. That said, we definitely learn differently from how LLMs “learn.”

No staff is the dream goal for companies in general. Except for the C-suite. This isn’t terribly surprising, but will be unlikely to ever happen in reality. And yes, they are usually staffed by only several people, no matter how large the data center gets.

Just came across this comparison recently in the book The Reverse Centaurs Guide to Life After AI by Cory Doctorow (https://www.theguardian.com/books/2026/jun/22/the-reverse-centaurs-guide-to-life-after-ai-by-cory-doctorow-review-the-real-price-of-artificial-intelligence). Highly recommend. Also, I’d be curious to read any books that cover these AI sweatshops.

It would probably be hated even more as all of those points would be magnitudes higher in volume than they are today. It’s what is wanted by corporations, a cheap surveillance tool that closely monitors everyone to keep everyone in line. There are multiple dimensions to this issue. I think AI should have stayed in R&D for a while longer. It is so half baked, but unfortunately trusted as an “expert” by people who may not be familiar with hunting down primary trustworthy sources. Though that last point is nothing new. I think it should have never been used for things like scanning private/personal files or to accuse people of crimes they didn’t commit. These companies are buying their own bullshit and are trusting/betting on AI to reduce the most costly component of their company, the labor force. It’s all just smoke and mirrors though, always has been. It’s not like these things are gods among us, but they are sold that way. In the end, not matter what, with the current state of AI or if they were cheaper to use computationally, the bubble will burst. At least when that happens, maybe some of the left overs can be repurposed for actual useful things for society, but I don’t have my hopes up at the moment.

Me too, but Google pays billions to push Chrome as the default on devices. I think Google and Microsoft are awful companies nowadays. Chrome and Edge are basically spyware now. So are Google search and Bing. There are others, but for example Mozilla gets boatloads of money from Google to exist, Brave has had some privacy issue (AFAIK), and so have others had their share of problems or over reliance on Google or Microsoft. I use DuckDuckGo as my browser, but have been starting to use Tor more to keep up with preventing advertiser from tracking using digitally fingerprinting. DDG or StartPage for search are unfortunately both reliant on Microsoft and Google indexing, respectively, unfortunately. Kagi may be an option, but they don’t have a browser yet. Anyway, there are so many topics on this that I could go on and on.

Post-Google search can’t come soon enough. They had a good start, but are now so full of greed. Personally, I avoid Google services (at least directly and block their trackers on websites as best as I can) like the plague nowadays. Google should be broken up as they are too bloated now and are highly monopolistic.

The AI boom is really the gold boom in disguise.

Yea, they’ll most likely survive this, but I am hoping they get broken up for being monopolistic (it was a tragedy that Judge Mehta did follow through). Buts that’s a different topic. Or that they go the way of other giants like IBM and Microsoft. Not gone, but not what they once were. Though I do want Google and Meta gone or at least highly regulated, but that’s also another topic.

They should not be allowed to gobble up knowledge like that. I get that if they want to buy a book and analyze it, that should be ok. Similarly, you should be able to analyze a DVD. No one owns facts. But in order to analyze, they need a digital copy, at least I assume so. If they don’t make a digital copy and just analyze, then technically they are not doing anything wrong (I might be wrong about this). I do not agree with them destroying books though. Like Meta is in hot water for illegally coping many books without paying for them, but not for analyzing the books to train their models.

The boom will end and the bubble will burst. Hopefully at least one of those companies goes under. Hopes it’s Google and Meta.

It’s awful that most people either don’t realize or don’t care. People seem to trust these companies above all else, which is insane. They don’t have the best interest of the users in mind. They only care about profits.

Their main audience isn’t the end user, but the shareholders. All that matters is they can say they are still “growing”. Which is why they don’t care about making things worse. Same goes for Meta. If something succeeds, it’s a happy accident secondary to the goal. Each of these companies did have a good initial idea that was fundamentally good and better than the competition, but ultimately will not last forever for reasons like this. Something else will eclipse them in time. History is full of corpses the likes of these companies. Recent tech ones include IBM, HP, and Microsoft. All big (or moderately big) players today sure, but not what they were at their prime and not close to the “main” ones anymore.

Even people who use AI in search would fall into that trap. The output is one thing, how you take it is another. I sounds like people mostly don’t check sources, which is the biggest problem. Not saying that person does or doesn’t check sources. Aside from that, Google forcing AI into search is fundamentally the opposite of their business model. If they don’t direct people to sites to buy stuff, how do they expect the sites that they are scrapping to survive? So they scrap and don’t pay and kill the source due to excessive energy demands? Only like Amazon could survive that. Google’s search should be a utility and Google should be broken up. In the meantime, I highly recommend people use DuckDuckGo or StartPage or Kagi (paid), or any other search engine that hasn’t been on a mission to destroy SEO in favor of advertising and AI.