We are not talking about replacing you or me by AI, no no no. We are talking about acceleration. To accelerate and change our ways of working and this is mandatory — yes or yes. The colleague — it doesn’t mean just this dept — that doesn’t use AI for their daily work next year, won’t be in this company. And we will check it. This is the message: won’t be in this company. And i’m not talking because it’s me who orders this. No, it’s the strategy of the company.
I’d just ask the AI if this (whatever project I’m working on) looks correct. Then take whatever feedback it gives, whether correct or not, apply it, save it, and ship it. Sounds like what they want, yes? Give it to them. Hahahah.
Makes you wonder how much they’re getting for selling your data to train AI. Makes you wonder why you can’t say training AI wasn’t on my job description and if you’re going to be adding AI Training into my caseload you should be paying me more. They’re getting a kickback, you’re getting more work and same pay and what are the AI Companies getting? More stable ways of removing you from the company.
Management is sometimes ‘true believer’, and only after the bill comes do they decide that maybe their employees shouldn’t burn as many tokens as possible anymore.
They all picture it like AI is a great things and their employees are just not tech savvy enough to appreciate it, so all they have to do is make everyone have a taste and obviously everyone will both love it and become amazingly effective. Turns out that people generally do have a decent impression, for better or for worse, and forced micro management of it doesn’t boost morale nor productivity.
They generally have a hook into the accounts the employees use to access the provider. So you can burn tokens and look ‘productive’ and have it have nothing to do with your work.
A lot of the early adopters have already figured out that measuring employee usage just ends with big AI bills and essentially zero assurance that the AI provider was used productively. Those folks discontinued things like leaderboards and review based on tokens consumed.
We were told this in a recent dept meeting:
I’m sooo motivated to be working there…
Sounds like it’s time to make whatever AI the company has subscribed to, waste a whole lot of tickets on random shit.
I’d just ask the AI if this (whatever project I’m working on) looks correct. Then take whatever feedback it gives, whether correct or not, apply it, save it, and ship it. Sounds like what they want, yes? Give it to them. Hahahah.
I thought about malicious compliance but I don’t want the end-users to get a shitty product.
It is the company’s product.
The people you work for don’t care, don’t pick up that slack for them, they still won’t care.
Makes you wonder how much they’re getting for selling your data to train AI. Makes you wonder why you can’t say training AI wasn’t on my job description and if you’re going to be adding AI Training into my caseload you should be paying me more. They’re getting a kickback, you’re getting more work and same pay and what are the AI Companies getting? More stable ways of removing you from the company.
Repos moved from local infra to an “enterprise” github account a while back.
Management is sometimes ‘true believer’, and only after the bill comes do they decide that maybe their employees shouldn’t burn as many tokens as possible anymore.
They all picture it like AI is a great things and their employees are just not tech savvy enough to appreciate it, so all they have to do is make everyone have a taste and obviously everyone will both love it and become amazingly effective. Turns out that people generally do have a decent impression, for better or for worse, and forced micro management of it doesn’t boost morale nor productivity.
How do they quantify who is using it or not?
They generally have a hook into the accounts the employees use to access the provider. So you can burn tokens and look ‘productive’ and have it have nothing to do with your work.
A lot of the early adopters have already figured out that measuring employee usage just ends with big AI bills and essentially zero assurance that the AI provider was used productively. Those folks discontinued things like leaderboards and review based on tokens consumed.
Token usage, maybe? Just set up an agent with computer use to go talk to another agent. Problem solved.
You use your worker account to access The AI.