I bet you could rehire those 4000 experienced staff, if you offered them a sufficient raise, and some other significant contractual benefits.
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And yet, despite fucking up royally, CEO Marc Benioff won't lose his job or probably any remuneration. And there's the problem.
“We assumed the technology was further along than it actually was,” one executive said privately
I wonder how many executives made these types of decisions knowing the technology could not perform as intended, but wanted to boost their quarterly or yearly bonuses, versus how many were just gullible morons.
It's also showing that they do not regret firing the employees; they would do it again if the technology was that far along.
Yeah, you can also restate what was said as:
We are catastrophically incompetent at our jobs.
But don't worry, capitalism is totally based on merit.
... or maybe this just is the moment where it isn't capitalism anymore, and it is clear technofeudalism, with a class of incompetent robber barons running everything.
Oh no!!! The dumb business plan that has no proven way of working didn’t work!?
Yeah, they phrase it a bit differently. It was "premature". 😅 Basically the same thing you said with some added innundo how they're gonna try again...
It did work. They wanted to fire people and put the blame on AI so they can now hire other people cheaper. AI is only the excuse.
Not that I don't love this for them.
But this source is really odd, it's not a reputable new source, and has no citations, and very much an opinion blog type site.
Is there a better source for the story?
Unfortunately it’s part of their plan.
Now they will hire people for cheaper.
Yep. I hope there employees are not dumb and will unionize, make them pay hard
Cool, now fire the entire executive staff. Replace them.
I already had a good few years academic and professional experience in both NLP and ML before ChatGPT came out, and since then I’ve been doing some consulting in gen AI.
I don’t feel safe posting or commenting anything about AI on LinkedIn because of the sheer strength of the cult of “if you criticise AI you’re a Luddite who doesn’t understand the modern world, and should be shunned professionally”. Pointing out that the Emperor has no clothes makes you unemployable in the eyes of at least half the hiring managers in my contacts.
LinkedIn is a cult.
Who cares about pissing off the most broken human beings on the planet, the suck-up sycophant class of petite bourgeoisie wannabes who are the most active LinkedIn users?
They're some of the most contemptible people who exist.
Why would you read or write things on LinkedIn? Except the parody accounts it's all crazy people grifting each other.
It’s amazing how stupid these people are
How much longer will anyone believe the lie that success is earned and not luck
I think it's a giant billboard sign that if they can replace you, they will. It was good for the tech bros to see this.
Well in this case even if they can't replace you, they will try and fail
Someone quoted this above and I replied there too, but this shows how they really think about the situation:
"We assumed the technology was further along than it actually was,” one executive said privately
They don't regret firing people, they regret not being able to replace them with AI
I whole heartedly believe my company would have replaced everyone in my department with remote workers from India if government regulations didn't require US citizenship or qualified people. What I mean by qualified I don't necessarily mean their quality of work but government regulations that require certificates and licenses to do the work.
So I guess AI will be after my job very soon
I'm working with their software, and it's kinda shit, ngl.
Who couldn't have seen that coming? It really brings home how stupid most of these company leaders are. The lack of ethics and reduced morals they have allow them to rise to the top of the organization but that in no way selects for intelligence. AI has them blinded because their dream is to have everyone replaced by machines. Just like that Twilight Zone episode.
ML techniques have a lot of productive uses. Perhaps even LLMs and other generative approaches find their useful place one day. It takes effort and grit to find those productive uses and make them pay, which has been the case for any new technology I’ve seen come to the fore over the past good few decades. Chasing quick profits never delivered the results, and it never will.
Exactly.
Are we about to witness a technological revolution on the scale of broadband access for the masses? Yes.
Are we in a financial bubble the size of the dotcom and subprime mortages combined? Also yes.
I really don't think AI is going to be anywhere near as influential as you think it will be.
We found a mathematical function which is good enough to be called universal estimator. Even better, our current computation technology is enough to implement these ideas algorithmically and compute in real-enough time. This will allow us to "do first, figure out later" rather than "hard work first, fruits later" approach.
It's just not magic, so yea we have to find where it makes sense to deploy it and where it doesn't.
Anecdote: I wasn't really going for accuracy (we were looking at hidden layers more than the output layer) but the small model I was working with was able to predict cell state (sick with the thing I'm looking for?) from simple RNA assay data with 80-95% accuracy even with all the weird and bizarre regularization functions we were throwing at it.
For some things, it makes sense. For others, we need more research. For the remaining, this is an apple we need oranges.
I think a lot of the hype with AI comes from the sincere shock that throwing more compute at a really simple algorithm resulted in a program that kicked the Turing test's ass. If we can't recognize the significance of that, then we must truly have lost our sense of wonder and curiosity.
But the hype is focusing a little too much on the LLM side of things. The real gains are going to come from models that specialize on other kinds of data, especially data that humans are bad at working with.
We kicked the Turing Test's ass? Ask an LLM for a joke and you'll see it fail dismally.
lowest-level technical/call support is about the only thing i see, that area where your just waiting/trying to get the customer to shutup and tell you what their actual issue is.
At least with dotcom and mortgages we had an assets bubble that didn't have a shelf life of 5 years. It's not like the capacity we are building now will be useful after the end of the decade
What did people bet on how long this would take? I think I was around 1 year?
Unfortunately, the company I work for uses Salesforce to supply equipment to me and my colleagues.
I've not been able to log in with my given credentials to order winter gear.
This... Explains a lot.
Salesforce has now begun reframing its AI strategy, shifting away from the language of replacement toward what executives call “rebalancing.”
Gee, I wonder why the executives suddenly don't want anyone talking about replacing people 🤔
“We assumed the technology was further along than it actually was,” one executive said privately
Assumed? They fired nearly half their customer service team on an assumption? Why do they get paid that much money then?
Unfortunately they've wrecked 4000 lives, but they'll take big bonuses and walk away winners.
Executives are often the most smug, overconfident, easiest to bullshit individuals. You're the easiest to fool when you believe you can't be fooled, and you're most likely to make a bad management decision when you're put in a position that says "you're allowed to decide stuff because you're incredibly smart and correct."
A company doesn't have to convince everyone who works for a company, or even just the people who are going to get fired. They just have to convince one dude who has power at the organization, and suddenly 4,000 people get fucked.
Don't forget that they're only accountable to investors who are extremely gullible, especially in the tech and sales sectors.
This was a staggeringly short-sighted and inept move by the senior management of Salesforce. But then from everything I've heard of that company, this is just par for the course.
So they fired some of the execs that made this call right? /s
More evidence that LLMs are perfectly suited to emulate the incompetence of senior executives.
They are one of the worst companies to work with, especially if you manage corporate email systems. I think RIM is the only company that caused me more pain in my career. They really are very poorly managed, and their systems are straight garbage. But they keep making money because execs gonna exec.
their systems are straight garbage
Unequivocally complete and utter garbage. I led an engineering team at a multinational energy efficiency company. My team built an extremely performant upstream and downstream intervention solution for US utilities, completely in ASP.NET and SQL Server. It was broadly used, on-prem, maintainable, extendable, and more importantly cheap to run. Single proc at every tier.
A new VP came on and had some wiry hair up his sandy ass about doing everything in Force. He refused to listen to anyone on my team about how this was a bad idea. So we built a POC and gave us 4 weeks to go live. The new solution was glacial in its performance, brittle, and expensive. I forget the numbers, but I recall that our cloud spend that first month of deployment would have bought us four more clusters of hardware and MS licenses. His response? Moar Force! You're doing it wrong.
All of us who could jump ship were gone before the second month on the new solution. He somehow survived another 3 months before he got fired, but the damage was done. Oh well. Salesforce, not even once.
Yeah that sounds about right! It’s like riding the Facepalm Express.
Someone I know at FEMA was talking about they have an old system for disaster claims that IBM wrote for them many years back, and how FEMA just signed a deal with sales force to replace it
I was like... Oh, buddy, you have a very custom fit solution and very complicated workflows...
RIM
Now that is a name I haven't heard in a very long time
Sales
Ah, the scourge of capitalism.
I got some snake oil in my boot to sell you.
Unfortunately, I don't see any indication of comprehension of the real problem on the part of the executives. To them, they just had an ooops, we should have waited a bit longer. They aren't going to rethink the strategy. They're going to throw money at it until it works. They will probably throw more money than it would have cost to keep those pesky humans, but there's a more important goal there that they're not saying out loud.
Behind the scenes, the layoffs triggered challenges that were not anticipated when the AI rollout was approved.
Former and current employees describe a loss of institutional knowledge, longer resolution times for complex cases, and an increased burden on remaining staff tasked with supervising AI outputs. In some instances, human agents were required to step in and correct AI-generated responses, eroding the productivity gains the layoffs were meant to deliver.
Not anticipated my ass. Every company that has gone down the path of firing experienced staff has run into this issue.
anyone with even a tiny fragment of a functional brain would foresee exactly this
It wasn't foreseen by the people who made the decision, everyone else saw it coming from miles away
My tinfoil cats are mewoing about a coordinated effort accros the IT sector to make one year with insane profit and the added side effect of lowering the wages accros the sector.
Like they did during COVID?
overestimated AI’s readiness
No shit, a tech only a few years old is not ready to be shoehorned into everything.
Totally unexpected and unpredictable outcome ........ (Don't make me add /s it's uncalled for)
It's a surprise to psychopath executives who connot distinguish between human resources and non-human resources.
“We assumed the technology was further along than it actually was,” one executive said privately, reflecting a growing recognition that AI performance in controlled demonstrations did not translate cleanly into real-world customer environments.
Just this once I'd like to see the C-suite take personal consequences. Their overconfidence was based simply on wishful thinking, and if there is one company that should know better than trusting a sales demo, it's Salesforce.
Hire back everyone with retroactive pay, then let the leopard finish eating the execs’ faces by firing them and replacing with AI (except, don’t bother with the AI part)

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