- cross-posted to:
- technology@lemmy.world
- cross-posted to:
- technology@lemmy.world
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Management greed, stupidity, and self serving is perennial. Nothing new there.
Nassim Nicholas Taleb said in “The Black Swan” that he thought one of the unrecognized strengths of stock-market-based economies was that as publicly traded companies grow and get older, they tend to become bloated and incapable, and lose money and eventually die; and this represents a mechanism for redistributing wealth away from the investing classes (“the rich”) with some of the money making its way back into society as a whole.
IDK if that’s still true or ever was, but he was extremely successful working in finance; he wasn’t just some idiot saying his opinions.
Doesn’t work as well these days when everything is too big to fail and gets bailed out, instead of letting the economy endure the destruction part of creative destruction.
This is kind of like saying in war, old weapons getting phased out reduces violence. While I am relieved I don’t have to worry about musket ball injuries, the new weapons are more effective at what they are designed to do and the people driving the need for newer and more effective weapons have not fundamentally changed in their motivations.
The businesses themselves aren’t driving the economy or how the megarich really make their money. Businesses are only the tools used by what’s actually driving the economy which is Capital. The same Capitalists which drive businesses to behave ruthlessly in a marketplace, grow rapidly, and ultimately collapse under their own weight will simply reinvest in an entity which will competently bring in a return on investment. The only redistribution of wealth happening is Capital investment being diverted to other tools of Capitalism. Capitalists don’t care which businesses or industry they’re investing in, they only care about maximising the return on their investment and using their influence to ensure that happens as much as possible.
When I think of historical wealth distribution which has had major impact on the lives of regular people, I can’t think of any which were caused by an outdated business clearing up some room in the market for newer and more lucrative capital investments to take its place. I have seen it through government action though.
The investment class realized it’s way more profitable to cellar box a struggling company and that you can short sell the stock and never have to pay up when the company goes bankrupt. Free money!
Yeah, I think they’re getting better at recapturing all the useful flesh any time that happens, now.
In the article, it even reinforces this with a story about a fake livestream from the 90’s or early 2000’s.
Can’t wait for a story from a developer or sysadmin that knows how all the duct tape is held together, gets laid off and refuses to come back to fix everything. Then the former employer doubles doubt and threatens to sue them for loss of revenue. It would be absurd but I expect the absurd now.
Pah! I can fail at my job much faster than any goshdarn AI!
I can improvise new ways to fail at my job, and do so without prompting! I am truly Generally Unintelligent.
Haha I posted the same but you beat me to it, I removed mine <3
In that case, the whole tech industry should, in solidarity, refuse to look for work and let the tech companies that just launched major layoffs feel the foolishness of their actions. Those tech workers need to wait long enough to allow Google, MSFT, Meta, Apple, etc. suffer the consequences of automation. If they managed this, when they finally do come crawling back, tech workers can get fat raises using this solidarity and collective action.
Pro tip: you can actually get organized in a union and strike just to get more money, no need for AI or getting fired. CEOs hate this trick!
tip: you can actually get organized in a union and strike just to get more money, no need for AI or getting fired. CEOs hate this trick!
✊🏼
They’d need to unionize first.
It’s expensive to live in tech communities. All the workers would need to move their families to somewhere more affordable and demand to work from home, on top of everything else, and they’d need to have enough savings to afford that. Right now, tech workers tend to carry debt, which is the bane of collective action.
Sort of. But people in society CAN act in solidarity. It’s obviously unlikely (something tech CEO’s calculated in these layoffs).
Obviously, capitalist exceptionalism is going to cause them not to do this. No one wants to loan their neighbor some money to weather a strike that WILL eventually lift ALL BOATS because of the whole “fuck you, got mine” vibe of EVERYONE in cutthroat capitalist societies. If I had the money, I’d certainly take part in this kind of collective action…and I’d also argue that many tech workers can because they were paid INCREDIBLY well in comparison to most trades…but you and I know they won’t.
I’m a member of a stagehand union that will NEED to strike during the summer (our busiest season) in order to gain some ground back from what price gouging, austerity, and inflation has taken from us. I can easily guess how likely the membership will be to endorse a strike when we will have been out of work for more than a year when negotiations start. That doesn’t make what I said less true; just about as unlikely as a third power coming to power in the United States two party electoral system.
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I agree with you but let’s not pretend that that’s not entirely BY DESIGN.
Another idiot writer missing how AI works… along with every other automation and productivity increase.
I literally automate jobs for a living.
My job isn’t to eliminate the role of every staff member in a department, it’s to take the headcount from 40 to 20 while having the remaining 20 be able to produce the same results. I’ve successfully done this dozens of times in my careers, and generative AI is now just another tool we can use to get that number down a little bit lower or more easily than we could before.
Will I be able to take a unit of 2 people down to 0 people? No, I’ve never seen a process where I could eliminate every human.
Cory Doctorow is an idiot writer? Do you know of him and you’ve reached this conclusion, or you don’t know who he is and just throwing shade?
I am curious. How much follow-up do you do after your automations 1 year later to see how the profit and loss picture of the department has worked out after your work is done?
(Not that that’s the point; I think you’ll get very little sympathy here for “I help the already-rich to keep more of the productive output of the world and make sure workers keep less” even if you can make an argument that you can do it effectively.)
I’ve been following Doctorow for decades now (BoingBoing) and yes, he’s an idiot in this situation.
I’m still working with the organizations I started automating for more than a decade ago. I’m sitting in the office of one of them right now. It’s worked out great, nobody is complaining about the fact that this office space now has people at separated desks instead of crunched together like they were when I started. If it makes you feel any better, I almost exclusively do this for government and public organizations (I’m at a post-secondary education institution right now) though I really don’t care.
Stopping or stalling productivity improvements is stupid, that job is effectively useless if it can be automated, it’s nothing more than make-work to keep it. We should pass laws to redistribute wealth to solve that problem, not keep them in useless jobs by preventing automation.
You’re still working simultaneously with dozens of different organizations? Maybe I’m misunderstanding something.
Stopping or stalling productivity improvements is stupid, that job is effectively useless if it can be automated, it’s nothing more than make-work to keep it. We should pass laws to redistribute wealth to solve that problem, not keep them in useless jobs by preventing automation.
Like a lot of things, the devil is in the details. Almost everyone’s firsthand experience with consultants coming in and enacting “efficiency” is that it’s bad for both the employees obviously, but also bad for the business. I’m not saying that’s the impact of what you’re doing, just what most people’s experience is going to be.
So there’s a central question in AI: Once the machines can do everything for us, does that mean everyone eats for free? Or no one eats? What would your answer to that question be?
No, I have worked with a dozen or so organizations, but I’ve done multiple jobs for each. I’m a freelancer.
As for your second question, I’d like to see a basic income implemented for all citizens in my country. I’ve talked to my local politicians about it multiple times. It’s something that people now know about, which is good progress in my opinion. I don’t expect it to happen soon, but hopefully we’ll get there before we start to have too many social problems.
As someone who works for a very large company, on a team with around 500 people around the world, this is what concerns me. Our team will not be 500 people in a few years, and if it is, it’s because usage of our product has grown substantially. We are buying heavily into AI, and yet people are buying it when our leadership teams claim it will not impact jobs.
Will I be able to take a unit of 2 people down to 0 people? No, I’ve never seen a process where I could eliminate every human.
Socially speaking, this is also very concerning to me. I’m afraid that implementation of AI will be yet another thing that makes it difficult for smaller businesses to compete in a global marketplace. Yes, a tech-minded company can leverage a smaller head count into more capabilities, but this typically requires more expensive and limiting turnkey solutions, or major investment into developers of a customized solution.
I honestly have no idea what the solution is. To me the issue is that with technology where it is, only about 20% of us actually have to do any work to keep all the wheels turning and provide for everyone. So far, in the western world, the solution has been to occupy people with increasingly-bullshit jobs (and, for some reason, not giving a lot of people who do the actual work enough to live on), but as technology keeps getting more and more powerful we’re more and more being faced with the limits of “you have to work to live” as a way to set things up.
I sat in a room of probably 400 engineers last spring and they all laughed and jeered when the presenter asked if AI could replace them. With the right framework and dataset, ML almost certainly could replace about 2/3 of the people there; I know the work they do (I’m one of them) and the bulk of my time is spent recreating documentation using 2-3 computer programs to facilitate calculations and looking up and applying manufacturer’s data to the situation. Mine is an industry of high repeatability and the human judgement part is, at most, 10% of the job.
Here’s the real problem. The people who will be fully automatable are those with less than 10 years experience. They’re the ones doing the day to day layout and design, and their work is monitored, guided, and checked by an experienced senior engineer to catch their mistakes. Replacing all of those people with AI will save a ton of money, right up until all of the senior engineers retire. In a system which maximizes corporate/partner profit, that will come at the expense of training the future senior engineers until, at some point, there won’t be any (/enough), and yet there will still be a substantial fraction of oversight that will be needed. Unfortunately, ML is based on human learning and replacing the “learning” stage of human practitioner with machines is going to eventually create a gap in qualified human oversight. That may not matter too much for marketing art departments, but for structural engineers it’s going to result in a safety or reliability issue for society as a whole. And since failures in my profession only occur in marginal situations (high loads - wind, snow, rain, mass gatherings) my suspicion is that it will be decades before we really find out that we’ve been whistling through the graveyard.
that will come at the expense of training the future senior engineers until, at some point, there won’t be any (/enough)
Anything a human can be trained to do, a neural network can be trained to do.
Yes, there will be a lack of trained humans for those positions… but spinning up enough “senior engineers” will be as easy as moving a slider on a cloud computing interface… or remote API… done by whichever NN comes to replace the people from HR.
ML is based on human learning and replacing the “learning” stage of human practitioner with machines is going to eventually create a gap in qualified human oversight
Cue in the humanoid robots.
Better yet: outsource the creation of “qualified oversight”, and just download/subscribe to some when needed.
Anything a human can be trained to do, a neural network can be trained to do.
Come on. This is a gross exaggeration. Neural nets are incredibly limited. Try getting them to even open a door. If we someday come up with a true general AI that really can do what you say, it will be as similar to today’s neural nets as a space shuttle is to a paper airoplane.
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The tech layoffs are not related to industry replacing those jobs with AI. Tech overhired and now they are adjusting. Simple as that.
Untrue. They overhired and were content to keep building up warchests of IP using those drones, then a billionaire wrote them a tersely worded letter and they responded by acting in solidarity (conspiring actually) to force austerity on famously well-compensated tech workers who they feel they can AT LEAST partially be replaced by AI.
Reading stuff like this is so crazy. They just go “hey 150k is a nice big number and should be plenty of heads, let’s just just take way the livelihoods of tens of thousands of actual people to make a number look nicer”
NPR suggests the tech layoffs of 2024 are just companies following the bandwagon and shareholders frenzying over it…
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