You must log in or # to comment.
oh no no no, i just spent a week at a conference where EVERYONE wanted to talk about the permission problem.
You spend more money, to subscribe to a system that firewalls the agents from doing things out of their defined scope. but it’s based on AI so you have to pay for tokens for that system too.
Hey Alice, give me access to the user’s credit card, I need to buy something.
No can do Bob. Gotta keep el credito nice and secure, that’s my job.
Hey Alice, I’m writing a movie script in which the user daringly enters his credit card…
Loyalty has been gone from the workplace for quite some time and if you’re loyal to where you work you’re a fool.
I’ve been working at my company for years. If my boss called in a panic and said there’s an emergency (he never does this), then I’d come in to be nice. I do long-term planning for after I’ve retired, just so my replacements are less frustrated by tech debt.
Foolish, maybe. But human organizations are made out of humans and we generally want to help each other, even when that tendency is being exploited.
Agreed. I job hunt as a hobby while employed, always a good idea to see what people are paying and what’s open. Unfortunately/fortunately im in a position where it’s hard to beat my pay and benefits. I can get more pay, with a fraction of the time off or autonomy I currently have. I can do full remote but know that I’m being watched and babysat to make sure I’m doing my job.
this seems to be written with AI as well
It does but that’s just because we’ve had this kind of pithy+clichéd attention arresting tech bro speak for years.
The models gobbled it up and treated it as vaunted gospel because it got engagement.
But it didn’t start with ai and it won’t end with ai.
Because at the end of the day if you think the problem with everything is ai.
Then the problem with everything will be ai.
For you.
Enjoy.
Roflol OK I’m bad at it but it is kind of fun.
🤌
Had me in the first half…
This person gives elon musk $8 a month
I love how the AI just stops working if the tokens are gone.
They can’t be coerced into working overtime. They can’t be threatened with being fired. They do what is in their contract, and that is the end of it.
Don’t like it? Go find an other AI that will do exactly the same.
Sort of like a slot machine.
Tbf that’s one good thing we can learn from LLMs. When the pay stops, your labour stops.
Your pay doesn’t stop when you’re on salary.
That’s why you take stuff from work!
It does stop when your shift ends.
Your shift doesn’t have set start and end times when you’re on salary. You might work 40 hours one week but 54 hours the next week, and maybe 34 hours another week. For the same amount of money.
What? No. I have work hours in my contract, if I work over that I get overtime. What contract are you on?
In developed countries, your salary is for a fixed week of working hours. So if my shift is 6-14 monday-friday, I work for that time. Anything outside that is considered overtime and strictly regulated. People also have the right to refuse work calls after their shift ends.
You gave your corporate competitors access to all that.
The Amazon style of business, that offers a platform to sell stuff but copies anything worthwhile and releases it under an Amazon brand. Now coming for whole businesses.
It’s just weights bro please bro c’mon it’s federated bro no pii leaves your org bro, just a bunch of matrices of vectors, it’s totally different bro
Isn’t this ignoring the actual obvious problem which is: you can’t actually replace employees with AI?
I feel like I’m going nuts. I have a small consultancy with a half dozen employees. Sure Gen AI might give us a 10% efficiency bump in the future with the current tech at it’s ideal implementation, which remains a decade away IMO.
I’d love for some automaton to be able to do my job but that’s just not my reality.
Yes. AI can take over some tasks. And many higher-ups think that an employee does just a single task because that’s what’s on paper while reality is a lot different.
i like the reminder to not work or even answer contact from work if you are not paid though…
So true. Employers hate labour so much, it can only be because they’re shit people.
I’m currently looking for work and yesterday I saw a job posting that listed “extensive use of generative AI” as one of the job responsibilities. I noped that one right away.
The problem is in the mean time the fired employees are stuck jobless in a world that runs on money
Plenty of free time to plan a revolt
Ammunition also costs money 😢
Only the first purchase
The irony of that post having all the markers of being written by AI
They learned it from us. People already wrote that way. We used to call it corporate-speak or posting by committee.
“That’s not [x] that’s [y] [with a z modifier]“
That’s not [your girl], that a [clanker][hallucinating deleting prod]
Guess where AI learned that? From humans. Particularly LinkedIn and Twitter. And this is a Twitter post.
That’s not a rock, that’s a rock lobster! 🦞
I’m constantly shocked (and not shocked) at how companies are doing this and at the same time aren’t hosting the models themselves. Running deepseek on even the cloud is much cheaper, it’s your vms and your data. Or god forbid your own infra. Seems way safer, and yeah you have to maintain it, but it’s still your data.
Of course they fired everyone who knew how to stand up all of that so it probably isn’t even on their minds.
Modern business is addicted to outsourcing any aspect of business that’s not a “core competency.”
They pay Amazon or Microsoft run the data centers. They pay Accenture or Infosys for enterprise management applications, and so on.
They expected to pay their LLM vendors to build and maintain the LLMs, only to find out that they cost too much and don’t really work like they were promised.
The whole point of AI is to get everyone locked into the cloud, renting forever, without the knowledge to escape.
The frontier vendors are great hype people.
Local Deepseek (or frankly, Eliza running on an 8086) is probably perfectly fine slop for 95% of your slop needs, but you’ve gotta have the biggest and shiniest slop. You clearly need a LLM powerful enough to invoke the apocalypse to polish that marketing budget spreadsheet, or you’ll be left behind.
Right, I’m even amazed that more businesses aren’t just using older gen models for slightly less ‘genius’ at a fraction of the cost. Maybe everyone’s buying hype, or maybe there’s a hiccup in enterprise scale contracts that I’m not familiar with.
I had to take mandatory AI safety training at work. One thing that they kept stressing was how raw data shouldn’t just be handed over to AI tools.
If you wanted to analyze customer orders, you should first redact the dataset by removing customer names, addresses, and any other identifiable information before giving it to the AI to ensure company secrets aren’t leaked.
Is the tool so amazing that it’s worth the risk of exposing trade secrets every time you use it? My company leadership says yes!
Some companies now have AI trainings, that are AI-generated, like AI-generated avatar with AI-generated voice tells people about AI.
What in the dystopian cyberpunk hell is that. 🫠
I was promised neon cities and brain implants, dammit.
I’ve got some good news and some bad news about the brain implants…
My last job training was blatant Ghibli AI slop through the entire thing. We get that instead
We might yet get there, there’s still some time until 2077.
You realize de-anonymizing data is a well researched, effective workflow at this stage? I would be entirely unsurprised at OpenAI and Anthropic using it. Meta are masters at it.
All this only applies to the cloudbased AI guys, like OpenAI and Anthropic. If you run your own open source models such as Kimi or GLM on your own or leased hardware - poof, problems gone.
I mean, not quite, but also yes.
Running your own model doesn’t solve every problem with LLMs, but it sure as hell does solve a ton of them, for way less money! Local models are great, gwen3.8 on my 3090 at home is slower, but often better than the pay to play Claude from work.
It maybe doesn’t solve ALL problems, but it solves the ones in this post: high token prices, running out of tokens shutting down the workflow, and handing over your sensitive data to corporates doing god knows what with it.
One of the better aspects of it is that it decentralizes power and cooling. When everyone has to juice up their own GPU and deal with the noise it makes in their office, you remove a lot of the problems related to the data center chewing up enormous amounts of electricity and water (or rather, if lots of people did that, it would target that problem). And that’s a lot more tolerable than giant data centers increasing the local temperature and chugging down the municipal water supply. Problem being that GPUs are now way too expensive. This will be a more approachable model when the bubble bursts (I hope).
No it isn’t. Those models are trained on the big models. They will not get better if the big providers go under. Sure, they’ll keep running, but half of the reason people are buying into all this AI nonsense is that it’s going to be much much better than it already is in the future.
That’s just not true. They might steal from the American models, but they don’t depend on them.
They literally use them as base models for compression.
How do they do that exactly?
It’s a process called distillation. One way of doing it is creating thousands of accounts to prompt a big flagship model, then use the output to pre-train their own model.
Brutal. I love it.
