Maybe this POS is just starting to fear for his life if this goes on
When Nvidia jumped on the AI hype train at the expense of retail customers, the first thing I did was pull my $ out of their stock and invest in Taiwan Semiconductor manufacturing and Samsung electronics. Chips are still going to get made; now the fabricators can get my investment $ directly and Jensen Huang can continue to enjoy the smell of his own brand without my cash.
Lol it seems they are feeling that gaining public opinion might be important to try and get their awful plans off the ground
“It was just a way for them to sound smart and I really hate that,” the CEO argued.
Aww, poor lil’ fella, tried to juice his stock by selling AI as the second coming, and now he’s mad that other CEO’s are trying to juice their stock by trying to sell AI as the second coming.
Yeah, start telling them the truth. They were fired due to C-suite greed.
You mean lie to the workers? Hmmm…has that ever been tried?
“The narrative that connects AI to job loss, for many of the CEOs that are doing it — it is just too lazy,” Huang told Channel News Asia. “AI has just arrived, how is it possible they’re already losing jobs?”
Why are these guys so dumb, how did they get into positions of power? I think mostly just by being willing to stand up in front of a crowd and camera? AI hasn’t just arrived, it’s been improved over the last couple of years, and has become much more capable recently.
It’s not necessarily that they’re dumb, it’s that they think others are dumb enough to believe any old crap they say.
I genuinely think they’re dumb, they have no sense of the fact that their greed and gatekeeping will bring about a serious shift in society. They should be trying to create new job opportunities and programs for people to innovate, yet we’re gridlocked in a shit late-stage capitalist society where we can’t actually do anything because of weird zoning laws and regulations.
They don’t care they have vacation homes on every continent, they really won’t give a shit when the us descends into chaos. They already dont give a shit when a town of 10,000 in california gets their water shut off.
Good, let them go to their vacation homes wherever and let us take back control of our shit.
Good luck with that lol
Dunning-Kruger is a hell of a thing.
Oh, but “we are cutting workforce to invest in AI” sounds much better than “we are cutting workforce, because we struggling in current economy”.
Or "we’re cutting workforce because we’re greedy sociopaths more inclined to appease share holders’
betting habitsinterest than create a quality product that our longstanding workforce understands and can support, even though AI can’t really’That’s the rub. They don’t even say “we are cutting workforce to invest in AI”, they say “we are cutting workforce because we’ve already replaced people with AI”, which they have not. They’re just such hype driven buffoons that they actually believe that LLMs are going to easily replace the people they just cut in their hubris.
Saying they’ve cut people to invest in AI is actually a little more honest because it admits that they haven’t actually already succeeded.
Yeah Jensen, what else am I supposed to do with AI but use it as a scapegoat?
“Oh dear, they’re disliking us even more now, what do we do?!”
No shit Sherlock.
So, lie more?
Whoa. Nobody said that. Just stop paying them and let them figure out they’ve been let go instead of telling them. Less aggressive, more passive aggressive.
Just make sure nobody steals their stapler.
When they come to ask what is happening, pretend they’re not there. When they lawyer up: talk about their position in the past tense. When the lawyer picks up on it, act surprised: “Oh, yes! We let him go months ago, but he never really got the message.”
We fixed the “glitch”
Nvidia CEO Begs Execs to Stop Telling Workers They’re Fired Because of AI, it’s hurting Nvidia’s stock price.
It’s also a lie. LLMs can’t replace a single worker, and most CEOs know that, they are using it as an excuse to cover up the consequences of mismanagement and/or increase short term profits at the expense of future growth.
Saying you’re doing layoffs lowers stock price. Saying you’re replacing workers and stocks might even go up. It’s a pretty big incentive if your pay package depends on the stock price.
What is this magical place where saying you do layoffs lowers the stock price. I’d like to go there.
The real world apparently. But if your company is far enough in la-la land and the disconnect between profit and reality is big enough, weird things happen.
If a big part of the market is floating in la-la land then that’s a good impression of Wile E. Coyote before he looks down.
It’s actually a mixed bag. It’s complicated, but part of what influences investors to either punish or reward public companies for mass layoffs is whether other companies in their sector are also doing mass layoffs. Outliers are punished. Trend-followers are rewarded. That’s part of what makes layoffs contagious.
LLMs can’t replace a single worker,
I don’t think that’s true, it’s just not how the execs are seeing it.
If you have 100 staff using AI within the means of what it can actually do, you might not need the whole 100 staff. Maybe you only need 98 now to get the same outcome, or whatever it is.
What it can’t do is replace a whole job category. You can’t replace all your customer service with it, or all your developers or all your marketing team. You still need those people, but if you employ enough people in a category, eventually it could reduce how many you need, which is essentially replacing them.
You’d be surprised…
An AI hype company did a fairly ok study with programmers. Some used ai some didn’t and they compared the difference in completion time.
The AI users were 20% slower than the non AI users, but thought they were faster.
So for your scenario, the company would need to hire 20 extra people to make up for the lost productivity.
Not just 20 extra people. I’m seeing a funny trend in my company where managers decide to get into vibe coding and they get super excited at getting something somewhat functional running, so now they’ve been presenting “their work” and expecting developers to merge their heaping trash in. That’ll require quite a few more people.
This is the real problem thats leading to them thinking they can fire so many people. They get all excited because it can sometimes do something (and possibly do it terribly behind the scenes, but still do it) and oh shit we don’t need any humans anymore!
Then you get companies regretting laying people off. The wrong people are making the decisions without understanding what is happening.
It’s one study, so I’d take it with a grain of salt, and also the study says
However, we see positive speedup for the one developer who has more than 50 hours of Cursor experience, so it’s plausible that there is a high skill ceiling for using Cursor, such that developers with significant experience see positive speedup.
And a comment I read on it says "56% of the participants had never used Cursor before, 1/4th of the participants did better, 3/4 did worse. One of the top performers for AI was also someone with the most previous Cursor use. "
So it really might just be a tooling / experience issue, and the tooling has also improved substantially over the past year, like Claude Code and Chat GPT’s Codex. Outputs from LLMs are substantially better in programming than a year ago.
Edit: Looks like they did a followup study with some of the same participants which is always nice to see. I hope they do a 2027 one and they have the same participants again.
Our raw results show some evidence for speedup. Our early 2025 study found the use of AI causes tasks to take 19% longer, with a confidence interval between +2% and +39%. For the subset of the original developers who participated in the later study, we now estimate a speedup of -18% with a confidence interval between -38% and +9%. Among newly-recruited developers the estimated speedup is -4%, with a confidence interval between -15% and +9%.
So it’s likely people getting used to it, tooling is better, and now they’re potentially seeing modest improvements.
They tested it again back in March and got similar results which, being an AI hype company, they buried in their paper.
Many of the programmers refused to not use AI, probably related to the declined cognitive function that some other studies have shown to occur in AI users. I read one testimonial saying that his head would explode if he couldn’t use AI.
So plenty of experience by that point.
I was editing my reply as you replied, but the new study showed they fared better, not worse or the same. Even the new people to the study fared better, but worse than the existing.
They said it did better, every news story for their March test says the opposite.
They are an AI hype company. It’s in their interest to tweak the results and the study to make things look better.
Managers have died for a valid metric about programmer productivity, I haven’t heard any breakthroughs about that really, so your “study” is as bs as the CEO “AI is productive” study.
That also started using it to cut benefits like bonuses, 401k marching and annual raises.
Yep. Remember when he said nobody should learn how to code anymore with a shit eating grin on his face because it was good for Nvidia’s stock price at the time?
ha, even if it was true - which isn’t - that would never hurt the stock, the stock market is soulless
Honestly I find this darkly hilarious. The circlejerk is becoming more and more obvious. I’m going to be surprised if the bubble doesn’t pop within the next 6 months or so - definitely before the end of the year.
All it took for this to happen was:
- skyrocketing energy prices
- skyrocketing hardware prices
- skyrocketing water usage
- the effective priceout of PC/homelab enthusiasts and hobbyists which will probably destroy much of the community, and thus most of the consumer-oriented hardware manufacturers
- turning the US economy into a house of cards
- sharply accelerated enshitification of all major search engines (in the interest of pushing people to use LLM bullshit for no good reason, when a perfectly suitable and deterministic alternative already existed and was deployed at scale everywhere)
- flagrantly ignoring licensing and usage terms for basically any and all open source software projects hosted anywhere on the internet
- the hollowing out of software engineering as a discipline, the collapse of the hiring prospects of fresh grads/juniors because “ai can do that”, and the creation of a generational gap in staffing across huge swathes of the tech industry writ large
- the (even more) accelerated enshitification of social media as it becomes a series of gigantic LLM bot farms talking to each other
- we can go on
What a time to be alive.
Jensen can suck my Huang.
Don’t forget the open outright theft of virtually all digitized media and content produced by humanity.
If you or I do it, we’re criminals.
If you or I do it at scale and scam a bunch of Business Minds into thinking it’s the best thing since sliced bread, we’re trillionaires.
Make it make sense.
Look at malus.sh they even market an AI to steal open source projects…
Note that malus.sh is a satire pointing out something that the companies are certainly very happy about, but the real AI companies haven’t been that forthcoming with the laundering of copying software through LLM.
“I used to feel guilty about not attributing open source maintainers. Then I remembered that guilt doesn’t show up on quarterly reports. Thank you, MalusCorp.”
Chad Stockholder Engineering Director, Profit First LLC
Malus was probably born out of satire but is very real with completely real paying customers.
You can choose to believe it’s “too evil to be true” but it is.
What if AI is already too big to fail?
- it’s rather different than 2008, because credit default swaps were just a bag holder thing, whereas these massive data centers are not only a huge amount of sunk cost capital, but also have extremely high OpEx.
- that said, I would be 0% surprised if our Captains of Industry (🥴) manage to convince the orange regime to just shell out trillions of our fucking taxpayer dollars to them because line go up
- and if they do, I hope all the little baby Molotov cocktails that will be born have wonderful, bright, and impactful lives 🥰
Mario’s brother is a plumber
And a goddamn national hero.
And did nothing wrong - assuming he’s not a scapegoat, and I think he is. Evidence chain of custody has been an absolute shitshow through the entire existence of the case.
Its here to stay, but we are in the “we dont know the best way to use it try everything” phase.
From my experience using it as a consumer, and writing custom agents; i think the way it will pan out is as specific tooling that unlocks things that weren reaaonable to do before. Key word here is tool. Its just a god damned tool.
We will still need to hire people, because something llms can never do is be held accountable. Someone needs to use the tool.
As far as the data centers, this is an overenthusastic bet that all compute will be rented. It wont. At best a few additional datacenters needed for hosted inference, not at the scale they are going for.
Here to stay, but the industry might collapse if they don’t become profitable, and llms can become a small niche after that, made of people that pay to use or run locally
It’s like the .com bubble.
Yes, we still have internet, and there are still websites, and lots of people use them. But it’s nowhere near the promises that were made during that era.
I agree we are stuck with it. I see the most benefit of AI going to businesses and scammers. Right now I don’t see AI being very beneficial to the average Joe. I feel like people know how to prompt AI better than they ever have and AI hallucinates more than it ever has. People need to fact check everything it tells them.
I see the most benefit of AI going to businesses and scammers.
AI has been around since the 50s. We just keep changing what we call AI. The only difference with LLMs is this time they actually tried to sell it as a real sentient solution and it’s biting them in the ass because it isn’t any better than anything that came before and in many ways is actually worse. I feel like people totally forgot about when Watson beat Ken Jennings.
LLMs are a conversation model, they were only intended to be an interface between people and an expert system, not a magic answers machine.
LLMs are fairly useless, but the algorithms they use like weighting can be used for things like pattern matching, which can be used to replace the armies of office workers in internal control systems.
Thats not the same as the LLM industry, which is just a scam pure and simple. They need to keep accessing finance just to keep the money flowing, there is no end use for these massive data centres.
Wow I knew ai had been around for a long time but I didn’t think it was that long. Color tv came out in the 50s.
What I meant by it’s too big to fail was so much money has been invested into AI. I was also referencing when Obama said banks were too big to fail but that was more a satire statement.
Yeah, some of the very first neural networks were created in the early 50s. TV is an interesting example and I am glad you mentioned it. Different components of what make up (analog) TV and TV broadcasts were ready to go in the 30s but weren’t adopted in mass for nearly 20 years due to WWII. Likewise a lot of other technologies were put on hold or redirected for the war effort and computing technology is no different. This is part of why it feels like technology exploded after the war.
I understood what you meant. I was trying to point out that a lot of AI companies like IBM haven’t invested in LLMs in the same way that, for instance, Open AI has. IBM isn’t really at risk of failing if the bubble pops, as their AI models and other products have been in use for decades, but Open AI has nothing else to show for its investments and is yet to be profitable.
Indeed, and one could argue previous attempts were much more impressive.
It is better than other deep models in some ways, but that’s also not really a surprise given the huge sums of resources thrown at it. Take any technology and make it the center of a supercharged economic bubble and you’ll see something amazing but unsustainable coming out of it.
It will not go away, but billions if not trilions of dollars will.
You can probably make a sustainable business out of AI agents! Having something like Claude Code is pretty neat. I love having it at my side. Would I pay the business rates for it? Hell nah. They need to bring down their cost, gain efficiency. Maybe increase reliability while they are at it.
There is no infinite growth as long as AI doesn’t learn to act reliably, and on its own. According to experts this is anywhere from 10 to 100 years away. As someome with a CS major, I tend to agree.
Homelabs are just a bit more finicky to build now IMO, I got a thinkpad t14s gen1 with a broken screen for 100€, coming today. If I can’t fix it, it’ll become part of my homelab (i7 & 32GB).
I really dislike this dude more every day.
I remember 10 years ago when he cosplayed the leather jacket cool guy gamer CEO. Dude has always been a wolf in sheep’s clothing. He’s gross and every time he refers to people as “humans” it makes my skin crawl.
This is why people should put CEOs in a pedestal. The Xbox fan base did that for years with Phil Spencer after the Matrick era. In the end that cool guy persona lead to a legacy of buying studios and shutting them down when they didn’t meet internal metrics. Xbox was left in a dire state with his departure same as it was when he entered.
he does need money to get a new shiny jackets.
“How is it possible that AI became productive and useful only six months ago, and they were somehow laying people off two years ago because of AI?” he added. “It doesn’t make any sense.”
This is very telling. Jensen is pulling this “6 months” figure completely out of his ass here, but the reason why he wants that number to be true is because it moves the goalposts. If AI hasn’t actually, really, been here for even a single fiscal year then it explains away everything. Suddenly the fact that it’s made zero impact on productivity, that no one is making any profit on it, all of that becomes justified. “It’s still early.” You’ll recall that this was the narrative around crypto too. Every time anyone criticized anything about it a herd of sheep would bleat “It’s still early” even over a decade into the technology existing.
Investors are starting to ask serious questions about when these tools are actually going to start delivering greater productivity to their companies. Managers are starting to get the screws put to them about why their budgets are ballooning to cover subscription and token costs with nothing to show for it. Jensen can’t have that, because AI is the whole reason why his company is on top of the world, so he’s trying to reset the clock.
For the record, there’s absolutely no evidence to suggest that AI has ever become productive and useful, but that wouldn’t fit Jensen’s narrative either. So instead he has to invent a world where AI is totally productive, 100% useful, just trust me! When did that happen? Oh, just now. That’s, um… Yeah, that’s why you didn’t notice. It just happened, right before you walked in.
If AI hasn’t actually, really, been here for even a single fiscal year then it explains away everything. Suddenly the fact that it’s made zero impact on productivity, that no one is making any profit on it, all of that becomes justified. “It’s still early.”
I think you’ve nailed it.
I clearly remember 2023 being the year where AI and ChatGPT hit the mainstream. Looking back, nvidia’s stock price had already doubled in the first half of 2023.
about the same time they laid off massive amount of tech workers.
Crypto and AI could have been a good thing. The politicians, criminals and free-loaders ruined it.
Transformer model AI has atrocious unit economics. The only way it really works is in some kind of post-scarcity environment where we simply don’t care how much it costs to run.
Crypto only solves problems it creates, or creates new problems out of the ones it solves. It’s a horrendously complicated way of wasting compute power to ultimately achieve nothing.
Monero is a good form of crypto, it’s ACIS resistant so it doesn’t require a big server to mine them. It’s also really good for anonymous transactions.
Transformers aren’t supposed to be used for big problems that require too much data. But there’s use cases for them.
