This sounds bad to say, but it's difficult to feel bad for any meta engineers who lost their jobs.
You undoubtedly had other options, yet you chose to work for one of the most well-documented do-bad-for-the-world organizations on the planet. Former employees will deflect and make the comparison to United Fruit workers, despite the obvious difference in employee-optionality and influence.
You made your bed. I hope your organization gets destroyed. I hope you reflect on the damage you've caused the world.
I've held a short list of organizations I wouldn't ever work for, for a long while. Meta is on that list, but so are most of the big tech companies you see in the various anagrams.
It's getting to the point where selling my soul to the highest bidder is going to be absolutely required for any big tech job going forward.
"Someone else would be willing to ruin this, so I may as well ruin it and get paid for it" is not a direction everyone wants to, or even is willing to go.
I think it says more about Metas inability to create new products or make investments.
Look at their big growth areas. They acquired instagram and WhatsApp. Threads seems successful(?) but is an extension of instagram.
Mostly they’ve just gotten better at weaponizing rage bait. Which I’d argue, long term, will be a losing strategy.
If this were a healthy culture, with all the people working there, Zuck would have promoted far more interesting internal experiment to full blown products. That just doesn’t seem to happen there.
Maybe it was needed until recently and today the scale and monopoly is sufficiently well oiled that a couple 1M$/month programmers with some clankers can ship some new buttons and keep it running?
"If you log into your personal bank account, does the tool track you? What about when you’re writing a personal email, or responding to a personal call?"
Why would you ever do such a thing on a device controlled by your employer?
I guess there's a whole generation of devs who don't remember the Microsoft antitrust trial, and haven't learned the "anything you do at work may come out in discovery" lesson.
Having worked at meta, something I noticed is that the orgs that were well run were ones that were bought. WhatsApp, reality, insta, etc. I worked in an org that was not associated with those products and was purely homegrown and it was awful. Things got done but horribly inefficiently due to over hiring and extreme requirement and schedule shifts.
I believe that the cultures that were developed outside of Meta are used to launder the image that meta as a whole has a good engineering culture.
I had a friend who worked for Instagram post-acquisition left and came back to a team in Facebook.
They had always sung the praises of Instagram's culture but said they didn't recognize the company that they came back to. Literally night and day between the best and worst place they'd worked.
> 30-50% of engineers on core teams have been forcefully reassigned to data labeling and RLHF, upsetting folks even more.
This really doesn't sound believable to me, but who knows with all the craziness going on. Software developers in the US are seriously expensive, using them for data labeling would be a waste of resources. And the percentage sounds very high, unless "core teams" is only a small subset of the total developer count.
> Software developers in the US are seriously expensive, using them for data labeling would be a waste of resources.
The frontier work is on labeling and training expert content, by experts. It's unglamorous work and almost certainly doesn't warrant FAANG pay, but neither did most of the work that most FAANG engineers were already doing. But it does require competent talent from the expert domain.
Like their peer companies, Meta is still sitting on a huge pool of vetted-as-competant workers from the hiring boom and expert AI training is the most ripe business opportunity in a fragile economy where pretty much every comparable opportunity has evaporated.
Zuck literally said that he wants folks with higher intelligence on the Applied Intelligence team. And the best way to do that was to move folks internally, since they were "intelligent" enough to pass the Meta interviews.
Soooo, yes it is a waste of resources ($$$). But this was the initial intention.
The belief that engineers are not doing anything for x amount of time that could be better spent on other immediately measurable things is as old as the profession itself.
Ironically this vanishes when the tables are turned and we ask for things like better hardware or software. There are plenty of us here with stories of how much effort it took to convince employers that SSDs were worth it when they were new, small, and very expensive.
>using them for data labeling would be a waste of resources
Would it? It seems like they can spend a few months extracting intelligence and "taste" from their engineers then get years worth of it back from the AI.
I wouldn't trust any engineers I know of with their "taste". At best it's a highly skewed view of the world. At worst, it's outright opposite to genpop.
Are there any examples of this actually working? I keep seeing this fantasy repeated but have not seen a plausible explanation for how they wouldn't be contibuting to the pile of negative examples which are just as valuable if not more.
Poison pilling skills is a thing, though finding evidence for it is difficult given the crux is an absence of information. The baseline instruction and training is given to the model by the expert, but edge cases are willfully neglected. The degree of neglect generally determines how detectable it is, but if all the SMEs are in on it a lot of them will probably persist. Effectiveness and impact are obviously relative to the system and the edge case. Not particularly different from the fallout previously seen during the offshoring era.
I believe it, because it makes a kind of sense. Post-training has a huge impact on how well LLMs perform, and labeled data is what determines the effectiveness of post-training. This is why companies like Anthropic are so worried about distillation.
So if you have access to a large number of highly skilled people, and you really don't absolutely need them to do other things, why wouldn't you force data labeling tasks on them?
Facebook is also planning a 10% layoff, so this also works as encouragement for people to leave voluntarily.
(Before you downvote me, note that I'm not endorsing this or saying it's a good idea. I'm just saying that I believe it's true, because I can see how Facebook's leadership would think it's a good idea.)
Do the skills these people have overlap with the skills needed for a good data labeler? I'm guessing being a domain expert is most valuable as a data labeler.
Facebook and Instagram are such strong businesses that they could completely stop development work and the businesses would still be unbeatable monopolies for years to come.
But what I don’t understand is how screen recording / keyboard recording is useful AI training data?
It seems like a lot cost and a lot of pissing off people for something that is actually not very valuable.
One thing I've learned over my career is that engineering seems to matter so little to a business's success. As long as the engineering problems and failures aren't so bad that the salesfolks will get crucified in the town square and convince customers to leave, then seemingly everything can eventually be duct-taped over.
Obviously this isn't as true for things where it truly matters - encryption software, financial software, etc. - but it's amazing how little engineering excellent has to do with a company's success.
> engineering seems to matter so little to a business's success
That's because your engineering career coincides with a race to the bottom, where advertising-saturated, FOMO-afflicted consumers demonstrated a preference for accumulating as many cheap/free/subsidized things that they could over a few durable, valuable things that genuinely benefit them.
It wasn't always that way, and if the economy does encounter a strong correction, it could very well change again.
As an engineer, this realization was eye opening for me and had a massive impact to my approach. So few of those things that we're trained to approach with care and caution *really* matter at the end of the day. Sure, my engineering sensibilities and professional pride keep me honest to some extent. But the money inflow is what really matters, and engineering quality is just one very small piece of the puzzle for that.
Yes those are stable businesses, but we’re probably at peak social media. They need something new to be interesting in long term investment.
Zuck IMO doesn’t have the halo Musk has where there’s results mixed in with the BS. And Meta doesn’t seem to have a good track record of developing new products.
Is a rage bait machine currently at / near its peak of usage still an interesting investment in 2026?
Zuck has read one too many sci-fi novels. He is afraid. Afraid that he will be left behind by the AI oligopoly. Afraid that he won’t get to live in Elysium.
They probably just don’t need them anymore. Obviously they are confident that their AI workers are doing a good enough job, and my feeling is that they aren’t planning on creating any groundbreaking new software anytime soon that requires the same number of human engineers to do the work. I think it’s potentially a canary in the coal mine type of warning for the rest of the industry. If a company like Meta doesn’t think it needs the headcount, then other big companies will likely soon follow.
> my manager has no idea who I am, nor what I’m working on, and I’ve never met them despite me being on the team for nearly two months.
This is the fast track to being next in a round of layoffs. If your manager does not know you, they won’t vouch for you when it comes time to toss people out of the airlock. You are in a vulnerable position.
Zuck only cares about features, or new features. He probably likes power too, but I'm less certain than that. To curry favour with Zuck all you need to do is make a new feature, ideally using AI/AR.
The problem is, zuckerberg trusts no-one, so he is surrounded by familiar faces that act as his inner court. The problem for meta and the rest of the world, is that most of them are utter brainless dicks.
Cox is utterly useless, he has the cognitive faculties of a flea. the rest of the product council has been ruthless bred for agreeing, rather than making good product decisions. Worse still they are either wilfully blind or just blind to the second order effects that their actions take.
Boz, in person is nice. Boz as a leader is a vapid, lacks insight fails to provide actual direction and lets his ego bruise too often. He was 2 years to late to NFTs, Regularly picked fights with juniors in the comments.
The other elephant in the room is the monetisation department. They are basically the drivers of most of the problems in facebook.
Notification fatigue? yeah probably them,
AI slop to boomers? deffo
Rage bait? yup
Fraud? totally profitable.
There was a concerted effort by engineers to try and make meta better (see sophie Zhang), however as time moved forward those that cared were diluted by those that were just there. They recruited far too agressivly in 2020. we had too many people then, but "there was a plan"
They started firing people in 2022, and never stopped. It was clear that Zuck wanted to be a big man, and doesn't really understand how to run his company (Sandberg is a terrible person, but a good leader, even though shes a monumental hypocrite. He saw her as she is, and assumed thats what the rest of the world saw.)
Is Meta the same story as Twitter? Two companies with way more highly paid engineers that are needed to maintain a mature social platform and ad network? Funny how both reorgs were done in about the most expensive way imaginable. Twitter through overpriced acquisition, and Facebook through technological adventurism.
Can’t really win here. If Facebook doesn’t have open APIs, it gets accused of being a walled garden and hoarding data. If it builds those APIs and lets third parties act with the same permissions as the authenticated user that gave permission to that third party, it gets Cambridge Analytica.
The changes I'm referring to are much later than the CA scandal.
In the last few years, they've locked third-party apps out of publishing to Facebook Groups, closed down the bug ticket system, and gave every indication of having abandoned any efforts at improving the ecosystem.
Because it's safe to do so now, anyone on a visa is immediately in an extremely uncomfortable position if they lose their job. They won't leave. And anyone else who does voluntarily gives up on layoff packages.
>“As per The Information, Meta employees used a total of 60.2 trillion AI tokens (!!) in 30 days. If this was charged at Anthropic’s API prices, it would cost $900M. Of course, Meta is likely purchasing tokens at a discount, but that could still come in at $100M+ – in large part from senseless “tokenmaxxing”.”
That's what happens when you have leaderboards and internal spend rankings/comparisons. This isn't just a Meta thing; many companies are tracking tokens as performance metric but we all know this by now. :D
This article doesn’t touch on the single most important aspect: recurring layoffs. I think he’s trying to blame AI for most of it but if we’re to guess, it would be the layoffs.
Obviously if the layoffs happen so frequently, the morale goes down.
Almost every company is all in on AI so what makes Meta particularly bad?
Man the dichotomy of you have autonomy to now you're a data labeler in a short span of time must be incredibly rough to deal with. How does culture recover after something like that...Anyone have thoughts when this bubble is going to pop? What a bananas time
Sure, the current Torment Nexus buildout might be a bubble. But just think: in 10 years we will already have all this torment infrastructure built, ready to use.
This sounds bad to say, but it's difficult to feel bad for any meta engineers who lost their jobs.
You undoubtedly had other options, yet you chose to work for one of the most well-documented do-bad-for-the-world organizations on the planet. Former employees will deflect and make the comparison to United Fruit workers, despite the obvious difference in employee-optionality and influence.
You made your bed. I hope your organization gets destroyed. I hope you reflect on the damage you've caused the world.
I've held a short list of organizations I wouldn't ever work for, for a long while. Meta is on that list, but so are most of the big tech companies you see in the various anagrams.
It's getting to the point where selling my soul to the highest bidder is going to be absolutely required for any big tech job going forward.
They won't reflect, these people literally have no morales. The only thing they value is money and giving teenage girls depression.
> The only thing they value is money and giving teenage girls depression.
You really think if they didn't work there, someone else wouldn't?
You really think them and only them are the people capable of doing whatever technical things are causing the problems you perceive?
Do you want your actions to be positive or negative for others, it does not matter how you rationalize it.
"Someone else would be willing to ruin this, so I may as well ruin it and get paid for it" is not a direction everyone wants to, or even is willing to go.
I think it says more about Metas inability to create new products or make investments.
Look at their big growth areas. They acquired instagram and WhatsApp. Threads seems successful(?) but is an extension of instagram.
Mostly they’ve just gotten better at weaponizing rage bait. Which I’d argue, long term, will be a losing strategy.
If this were a healthy culture, with all the people working there, Zuck would have promoted far more interesting internal experiment to full blown products. That just doesn’t seem to happen there.
Turns out you don't actually need top-tier engineering talent if your only business is selling ads to scammers to prey on the elderly?
Maybe it was needed until recently and today the scale and monopoly is sufficiently well oiled that a couple 1M$/month programmers with some clankers can ship some new buttons and keep it running?
> if your only business is selling ads to scammers to prey on the elderly?
Don’t forget failed, mentally ill, manic rebrands that cost billions and go nowhere.
Oh, and enabling human traffickers.
the ceo of a former company I was at demanded a rebrand like 6 months after our internal rebrand. Cost ~500k-800k USD.
Turned out he was schtupping the vp of the design company (his wife told the admin assistant during the divorce)
I wouldn't be surprised if a much larger proportion of big business and politics boiled down to this
Yeah there's lots of ethics rules and stuff about it but we've seen how little the upper class cares about that
Whenever a big business deal goes down, I tend to assume someone's getting sex or money out of the deal
Frankly there's already just so much corruption that we know about and it seems unlikely we know about all of it or even most of it
A friend of mine has actually posited a variation of this as way to predict the outcomes of legal cases
Hey, the VP is driving a new Ferrari... right after a new 8 figure deal.. weird.
> selling ads to scammers to prey on the elderly
I thought that was YouTube's business model.
Now if you'll excuse me I need to purchase some phony dick pills and diabetes snake oil to go with my fake NASA-designed air conditioner.
You need a set of good lead engineers in monetisation who can hide the fraud well enough from the rest of the company
Facebook is for preying on the elderly. Instagram for the rest of us.
"If you log into your personal bank account, does the tool track you? What about when you’re writing a personal email, or responding to a personal call?"
Why would you ever do such a thing on a device controlled by your employer?
I guess there's a whole generation of devs who don't remember the Microsoft antitrust trial, and haven't learned the "anything you do at work may come out in discovery" lesson.
Having worked at meta, something I noticed is that the orgs that were well run were ones that were bought. WhatsApp, reality, insta, etc. I worked in an org that was not associated with those products and was purely homegrown and it was awful. Things got done but horribly inefficiently due to over hiring and extreme requirement and schedule shifts.
I believe that the cultures that were developed outside of Meta are used to launder the image that meta as a whole has a good engineering culture.
I had a friend who worked for Instagram post-acquisition left and came back to a team in Facebook.
They had always sung the praises of Instagram's culture but said they didn't recognize the company that they came back to. Literally night and day between the best and worst place they'd worked.
> 30-50% of engineers on core teams have been forcefully reassigned to data labeling and RLHF, upsetting folks even more.
This really doesn't sound believable to me, but who knows with all the craziness going on. Software developers in the US are seriously expensive, using them for data labeling would be a waste of resources. And the percentage sounds very high, unless "core teams" is only a small subset of the total developer count.
> Software developers in the US are seriously expensive, using them for data labeling would be a waste of resources.
The frontier work is on labeling and training expert content, by experts. It's unglamorous work and almost certainly doesn't warrant FAANG pay, but neither did most of the work that most FAANG engineers were already doing. But it does require competent talent from the expert domain.
Like their peer companies, Meta is still sitting on a huge pool of vetted-as-competant workers from the hiring boom and expert AI training is the most ripe business opportunity in a fragile economy where pretty much every comparable opportunity has evaporated.
Zuck literally said that he wants folks with higher intelligence on the Applied Intelligence team. And the best way to do that was to move folks internally, since they were "intelligent" enough to pass the Meta interviews.
Soooo, yes it is a waste of resources ($$$). But this was the initial intention.
The belief that engineers are not doing anything for x amount of time that could be better spent on other immediately measurable things is as old as the profession itself.
Ironically this vanishes when the tables are turned and we ask for things like better hardware or software. There are plenty of us here with stories of how much effort it took to convince employers that SSDs were worth it when they were new, small, and very expensive.
> Software developers in the US are seriously expensive, using them for data labeling would be a waste of resources.
Zuck basically went to a town hall and explained to his employees that their remaining value to him is as training mules for his AI.
It's only until Cold Harbor is completed.
>using them for data labeling would be a waste of resources
Would it? It seems like they can spend a few months extracting intelligence and "taste" from their engineers then get years worth of it back from the AI.
I wouldn't trust any engineers I know of with their "taste". At best it's a highly skewed view of the world. At worst, it's outright opposite to genpop.
I assume taste was meant in term of coding. "taste" is still often the lacking trait that LLMs have when it comes to code design.
Seriously, what a world that would create.
Unless they collude and hatch a plan to sabotage the LLM training.
Are there any examples of this actually working? I keep seeing this fantasy repeated but have not seen a plausible explanation for how they wouldn't be contibuting to the pile of negative examples which are just as valuable if not more.
Poison pilling skills is a thing, though finding evidence for it is difficult given the crux is an absence of information. The baseline instruction and training is given to the model by the expert, but edge cases are willfully neglected. The degree of neglect generally determines how detectable it is, but if all the SMEs are in on it a lot of them will probably persist. Effectiveness and impact are obviously relative to the system and the edge case. Not particularly different from the fallout previously seen during the offshoring era.
its fantasy
scale ai's value prop was catching people like this
Isn't that Scale AI investment in a company that does labeling? what are we missing? Are we all going to be labelers soon too?
I believe it, because it makes a kind of sense. Post-training has a huge impact on how well LLMs perform, and labeled data is what determines the effectiveness of post-training. This is why companies like Anthropic are so worried about distillation.
So if you have access to a large number of highly skilled people, and you really don't absolutely need them to do other things, why wouldn't you force data labeling tasks on them?
Facebook is also planning a 10% layoff, so this also works as encouragement for people to leave voluntarily.
(Before you downvote me, note that I'm not endorsing this or saying it's a good idea. I'm just saying that I believe it's true, because I can see how Facebook's leadership would think it's a good idea.)
From the article:
> Forced data labeling with 4,500+ engineers is to generate high-quality RLHF
I doubt that you get high quality from forced reassignments where the now-data labelers don’t actually want to do that kind of work.
It’s crazy to think that Meta leadership believed that it makes sense.
Do the skills these people have overlap with the skills needed for a good data labeler? I'm guessing being a domain expert is most valuable as a data labeler.
Because you can just get rid of all those people and do the data labeling tasks for 1/4 the cost?
unironically if those engineers were considered to be 'bloat' its better to have them label data because they are smarter and vetted
basically a soft layoff
Facebook and Instagram are such strong businesses that they could completely stop development work and the businesses would still be unbeatable monopolies for years to come.
But what I don’t understand is how screen recording / keyboard recording is useful AI training data?
It seems like a lot cost and a lot of pissing off people for something that is actually not very valuable.
One thing I've learned over my career is that engineering seems to matter so little to a business's success. As long as the engineering problems and failures aren't so bad that the salesfolks will get crucified in the town square and convince customers to leave, then seemingly everything can eventually be duct-taped over.
Obviously this isn't as true for things where it truly matters - encryption software, financial software, etc. - but it's amazing how little engineering excellent has to do with a company's success.
> engineering seems to matter so little to a business's success
That's because your engineering career coincides with a race to the bottom, where advertising-saturated, FOMO-afflicted consumers demonstrated a preference for accumulating as many cheap/free/subsidized things that they could over a few durable, valuable things that genuinely benefit them.
It wasn't always that way, and if the economy does encounter a strong correction, it could very well change again.
As an engineer, this realization was eye opening for me and had a massive impact to my approach. So few of those things that we're trained to approach with care and caution *really* matter at the end of the day. Sure, my engineering sensibilities and professional pride keep me honest to some extent. But the money inflow is what really matters, and engineering quality is just one very small piece of the puzzle for that.
Yes those are stable businesses, but we’re probably at peak social media. They need something new to be interesting in long term investment.
Zuck IMO doesn’t have the halo Musk has where there’s results mixed in with the BS. And Meta doesn’t seem to have a good track record of developing new products.
Is a rage bait machine currently at / near its peak of usage still an interesting investment in 2026?
Computer use
Zuck has read one too many sci-fi novels. He is afraid. Afraid that he will be left behind by the AI oligopoly. Afraid that he won’t get to live in Elysium.
They probably just don’t need them anymore. Obviously they are confident that their AI workers are doing a good enough job, and my feeling is that they aren’t planning on creating any groundbreaking new software anytime soon that requires the same number of human engineers to do the work. I think it’s potentially a canary in the coal mine type of warning for the rest of the industry. If a company like Meta doesn’t think it needs the headcount, then other big companies will likely soon follow.
[deleted]
> my manager has no idea who I am, nor what I’m working on, and I’ve never met them despite me being on the team for nearly two months.
This is the fast track to being next in a round of layoffs. If your manager does not know you, they won’t vouch for you when it comes time to toss people out of the airlock. You are in a vulnerable position.
At some point the layoff is probably the preferred outcome.
The elves are leaving Middle Earth..
Former meta bellend here:
Zuck only cares about features, or new features. He probably likes power too, but I'm less certain than that. To curry favour with Zuck all you need to do is make a new feature, ideally using AI/AR.
The problem is, zuckerberg trusts no-one, so he is surrounded by familiar faces that act as his inner court. The problem for meta and the rest of the world, is that most of them are utter brainless dicks.
Cox is utterly useless, he has the cognitive faculties of a flea. the rest of the product council has been ruthless bred for agreeing, rather than making good product decisions. Worse still they are either wilfully blind or just blind to the second order effects that their actions take.
Boz, in person is nice. Boz as a leader is a vapid, lacks insight fails to provide actual direction and lets his ego bruise too often. He was 2 years to late to NFTs, Regularly picked fights with juniors in the comments.
The other elephant in the room is the monetisation department. They are basically the drivers of most of the problems in facebook.
Notification fatigue? yeah probably them,
AI slop to boomers? deffo
Rage bait? yup
Fraud? totally profitable.
There was a concerted effort by engineers to try and make meta better (see sophie Zhang), however as time moved forward those that cared were diluted by those that were just there. They recruited far too agressivly in 2020. we had too many people then, but "there was a plan"
They started firing people in 2022, and never stopped. It was clear that Zuck wanted to be a big man, and doesn't really understand how to run his company (Sandberg is a terrible person, but a good leader, even though shes a monumental hypocrite. He saw her as she is, and assumed thats what the rest of the world saw.)
This should be top comment. Organizations reflect their leadership and Zuck is a mess.
'The problem is'...
Problem? This is the best news I've heard in a while.
Also their AI efforts and metaverse efforts flopped
So there’s really not a lot of growth areas for them? Their biggest growth seems to have been acquisitions, not new features.
Maybe data labeling is like RTO - an intentional way to force attrition.
"It’s literally the gulag" - okay this was a funny comment
its unclear to me why they need their model to be the best at coding (maybe to build an internal technical moat?)
Because coding appears to be the most monetizable use of AI, for some time to come.
Maybe they're trying to digitize their best people.
Is Meta the same story as Twitter? Two companies with way more highly paid engineers that are needed to maintain a mature social platform and ad network? Funny how both reorgs were done in about the most expensive way imaginable. Twitter through overpriced acquisition, and Facebook through technological adventurism.
Note that both kneecapped their previously quite open APIs, too.
Can’t really win here. If Facebook doesn’t have open APIs, it gets accused of being a walled garden and hoarding data. If it builds those APIs and lets third parties act with the same permissions as the authenticated user that gave permission to that third party, it gets Cambridge Analytica.
The changes I'm referring to are much later than the CA scandal.
In the last few years, they've locked third-party apps out of publishing to Facebook Groups, closed down the bug ticket system, and gave every indication of having abandoned any efforts at improving the ecosystem.
Because it's safe to do so now, anyone on a visa is immediately in an extremely uncomfortable position if they lose their job. They won't leave. And anyone else who does voluntarily gives up on layoff packages.
See also Twitter when Ol' Musky rolled in.
Anyone at Meta able to confirm or expand on the details in this?
>“As per The Information, Meta employees used a total of 60.2 trillion AI tokens (!!) in 30 days. If this was charged at Anthropic’s API prices, it would cost $900M. Of course, Meta is likely purchasing tokens at a discount, but that could still come in at $100M+ – in large part from senseless “tokenmaxxing”.”
Holy shit, talking about perverse incentives!
That's what happens when you have leaderboards and internal spend rankings/comparisons. This isn't just a Meta thing; many companies are tracking tokens as performance metric but we all know this by now. :D
This article doesn’t touch on the single most important aspect: recurring layoffs. I think he’s trying to blame AI for most of it but if we’re to guess, it would be the layoffs. Obviously if the layoffs happen so frequently, the morale goes down.
Almost every company is all in on AI so what makes Meta particularly bad?
Man the dichotomy of you have autonomy to now you're a data labeler in a short span of time must be incredibly rough to deal with. How does culture recover after something like that...Anyone have thoughts when this bubble is going to pop? What a bananas time
The AI death march is destroying so many companies. You'd think some CEOs would break away from the herd by now.
I think Tim Cook tried to...
”I built the Torment Nexus and I’ll got was a few million dollars and this lousy job.”
Sure, the current Torment Nexus buildout might be a bubble. But just think: in 10 years we will already have all this torment infrastructure built, ready to use.
Another company discovers the trust thermocline.