A lot of people in the comments conflating “AI bubble burst” with “AI has disappeared completely”, and saying it’s not happening because AI still exists there.
When the dot com bust happened, the internet didn’t just disappear overnight, it just shrunk into something more reasonable. I feel like this is the same.
Same vibe as “if global warming is real how come it was cold at my house this morning?”
AI/LLMs will still be around, they just wont be the end all be all some people have been hyping it as
They aren’t even as against ai in china based off what I’ve seen on rednote, it’s not like the us mentality, but they did seem to favor antrhropic ovee their own companies before they got blocked
Boy, it seem’s China’s beating the USA at all aspects of AI.
/rimshot
You joke, but there’s a few communities on Lemmy that REALLY love China.
I’m aware. Given the current state of the USA, I understand the willingness to overlook China’s imperfections.
At a certain point, the old tribalistic feuding needs to give way to responsible globalized stewardship of the planets finite resources. To be civilized it’s to be scientific; to be scientific requires accepting certain realities about our world.
a few?!
I was looking for the cynical joke in there. Thanks for beating me to it!
There’s been a lot of bounces where the US stock market “lost” trillions then came back to its original point and more, see the election and March of 2025 and 2026
Could mean something could mean nothing, only time will really tell
Or it might be more apt to say that it shriveled like a rapidly deflating balloon: over the past four months
Not as catching as “bubble burst”. LLMs have proven their use. It’s here to stay. There’s a lot of superfluous stuff, but people are coping if they think the bubble is going to burst and their jobs will all go back to how the were.
LLMs have proven their use.
No they have largely not except in niche applications and they have proven relentlessly they cannot be trusted with anything important.
My trades friends don’t use AI, one of them doesn’t even know the names of any of the models.
My wife first heard about LLMs this year. She’s never used one, she’s never seen anyone use one, she doesn’t know anyone who has used one. She’s an engineer.
Lemmy leans way too heavily towards tech workers. There is a whole world of people that have literally nothing to do with our field and the trends inside it. They know nothing about it, they’ve no interest in engaging with it, it’s completely useless to them.
My wife’s company recently adopted using Active Directory for managing users.
EDIT: To take it a step further, I work adjacent to OEM manufacturers for industrial control systems. Half of our customers are running windows 98.
The handiman who works for my family quite often is not super technical. He was troubleshooting a mini split for me and I walked out to see him vocally chatting with chat gpt going through error codes, handless.
He found a use, and you’d be wrong to assume “trades” are safe from the chatbot. That doesn’t mean his job is going away, but maybe he can do more solo jobs and doesn’t need a helper all the time. Or maybe he does his jobs faster. Who knows!
People don’t need to know model names to find a use.
My wife first heard about LLMs this year
She’s an engineer
What
she doesn’t know anyone who has used one
How would she know if she’s only just found out herself?
These things are heavily used in engineering
In addition, the tradesmen who have done work on our place lately have all been using AI. One took photos during quotation and used AI to show what it’ll look like when they are done. One used it for invoicing. One used it to find the right parts. I’d argue your bubble in the world is an exception rather than the rule
One used it for invoicing.
AHAHAHAHAHA
Why is that funny? It did a great job. A big problem in the industry is tradesmen forget to invoice for jobs, and when they do invoice their invoices are not well itemised and the works are not well described. After all, they are tradies not accountants.
All the pieces of work had great descriptions of the work performed, it was well itemised and was provided same-day - not weeks later
deleted by creator
What
Sorry brother-man. Her field doesn’t touch them.
One took photos during quotation and used AI to show what it’ll look like when they are done
… Why? How would an LLM “show you what it will look like?”
Are they using the LLM as a basis for what they’re going to do? Why would they do that?
You upload a photo to the agent of your choice, e.g. openai, grok, Gemini
It modifies the image according to your instructions. E.g. “show this wall patched, with a black tile splashback using red grout, and the rest of the wall painted a glossy maroon”
The tradesmen and the customer can agree on what the work is supposed to be before it’s done, preventing misunderstandings.
But like… Why? I’ve had work done on homes before and did not request a image… What is the purpose of the image? Do the tradesmen use the image to perform their work? If so why not model it in CAD? If not, why use it at all?
The tradesmen say, “is this what you want” and you say “yep”. Everyone is on the same page
Takes about thirty seconds
Why model in CAD? Who is paying for that? Are your carpenters and plasterers able to make anything in CAD? Such an effort could blow the cost of the job out 10x
If you wanted it modelled in CAD, you’d do the initial pass and most of the work with AI too
So the image is not used. It’s done for fun? I suppose that’s fine if they’re just showing it to you for vibes but I don’t see how that would be different from me asking a tiler to do my shower tile-work, telling them what I would like, and them showing me a meme on reddit. Cool I guess? Please return to the tiling task?
Honestly I would prefer they just send over a sample. Why get a pretend image of what it will look like when I could just see a tile for free?
And why would I use AI for the CAD work? I know how to use CAD. I suppose if I was in a situation where someone had a gun to my head and said that I had to render a sink fixture in under 45 seconds I might be motivated to speed up that process but I can’t think of a time in my life where I faced bodily harm if I did not complete a creative task quickly.
EDIT: Nevermind, I can think of a few times I have faced bodily harm based on the speed I could complete arbitrary creative tasks.
She’s an engineer
What
An actual engineer, not a software engineer.
Yeah, all my buddies use AI heavily on the job. You can very quickly create draft plans and models. I just looked through the schematics for a wind farm, all the underground work that’s needed, foundations, etc. All generated with AI
Damn… I wouldn’t want to be anywhere near a giant wind turbine on a stormy day if the engineers had vibe-planned the foundations…
Unless you work on a wind plant I doubt you’ll ever even need to consider the thought
deleted by creator
To take it a step further, I work adjacent to OEM manufacturers for industrial control systems. Half of our customers are running windows 98.
Hah! I’d actually consider industrial automation to be one of the more-likely applications for LLMs. Not necessarily LLMs driving the system, but outputting software to drive PLCs and similar. My understanding from past reading is that industrial automation is one of the principal things that China is interested in using LLMs for.
searches
https://faxiangongchang.com/en/reports/china-industrial-ai-agent-2026
What AI Agents in Factories Are Actually Doing
Down on the shop floor, industrial AI agents are currently running most solidly in four types of scenarios.
Quality inspection. Vision large models are replacing traditional rule-based machine vision. Among the 12 lighthouse factories newly added by the World Economic Forum in September 2025, AI and generative AI use cases account for up to 50%, with demonstration factories reporting results including a 41% reduction in product defect rates.
Process parameter optimization. In the Baosteel hot-rolling line case disclosed by Huawei Cloud, the Huawei Pangu large model improved finishing-mill width-spread prediction accuracy by more than 5% and raised yield by 0.5%, which by its own account translates into more than 90 million yuan in additional annual revenue. It should be noted that such figures are all vendor-disclosed and still lack independent third-party verification, but directionally they are consistent with public data from lighthouse factories.
Engineering and maintenance assistance. Siemens Industrial Copilot improves the efficiency of generating programmable logic controller code by roughly 60%, and pilots of its maintenance edition show an average 25% saving in reactive maintenance time; the product won the Hermes Award at Hannover Messe 2025. The factory operations agent Microsoft launched at Hannover Messe 2025 lets employees ask in natural language, “Why did Line 3 stop yesterday?”
Scheduling and order management. This is the entry point closest to AI agents for small and mid-sized factories. An AI tool aimed at small and mid-sized factories has disclosed a set of figures: after adopting AI scheduling and order tracking, factories’ average order delay rate fell from 25% to within 5%; one factory in Dongguan cut its order-splitting preparation time by 60%; and an annual fee of about 10,000 yuan corresponded to a return of roughly 1:12. These are again vendor figures, but they touch on an important fact—the value of AI agents for small and mid-sized factories lies first not in sophisticated process optimization, but in freeing up the labor tied down by high-frequency, tedious work such as order tracking and scheduling.
They mention PLC code generation, but I guess some other areas too.
It’s not that you can’t use LLM’s in the industrial space. It’s that there’s not much, in my experience, demand to do so.
I have worked with a food packaging plant (one of those Window’s 98 places). They are still using RSLinx from like, decades ago. Why would they change it? The PLC code does not need to be updated except under specific circumstances (which is why we use ladder logic in the first place).
New stuff may use it, but a company creating a new industrial product doesn’t really translate into that product being purchased.
This is something I think software people tend to struggle with. In “traditional” engineering you can’t just deploy something to prod. Projects take years for approval, years of testing, years to go through the political process, years to build. The things you see getting built today were being designed 10 years ago using technology from 40 years ago.
Design is normally the first thing to happen before the rest of the above does and its the fastest part of the process already. Because of this big projects are allergic as fuck to new technology. I have watched proposals for a more advanced high-pressure CO2 turbine system get knocked down purely because “it’s not what we’re used to.” That “new fangled design” was roughly 30 years old at that point. Nuclear plant’s just started implementing general purpose microprocessors.
I really believe a lot of Lemmy would benefit from spending a turn working on, like, nuclear commissioning or substation work. Software tends to compress peoples idea of a what a reasonable timeline for going from idea -> proposal -> design -> implementation is.
I’m not saying that eventually AI won’t be used but we have a understand that most of the time the customers have no interest in adding anything.
I feel like people who confuse LLM technology with LLM business are getting increasingly rare.
Loads of jobs wont change in the way people have been told they will.
What use AI has doesn’t matter if it’s untenable to continue to operate long term. Whether or not AI is here to stay is entirely reliant on its ability to turn a profit.
deleted by creator
No new news. Deepseek is still raising billions in funding rounds.
A correction is something different than a burst. What do you think is the future there?
They loved claude in china, when it got blocked they were tweaking on rednote
More Futurism slop, it just don’t stop.
Tech Lemmy loves its Futurism
