Can’t wait to see this exact headline another 50 times but none of the companies in question facing any consequences for their actions, profit driven society is so fucking stupid.
I tried AI-everything (apart from code review of course). But it’s just too hard. Letting the AI do bigger things results in subtle, hard to find, but devastating design fails and errors. It’s fractal. No matter what layer I look at, it’s always sort-of working but also bugged in subtle and sometimes hard-to-fix ways.
So I don’t do that. Instead I use the AI as an assistant while I still do most of the actual work. I downgraded my account too because I never reached the limits for a while.Ding ding ding. It’s fucking GREAT for eliminating the menial bullshit like scaffolding, data cleanup, sifting through overly verbose documentation… Anything that requires abstract thought still needs to be done by a human.
Oh look, the thing we all knew was gonna happen is happening.
It’s weird - competent management wouldn’t require employees to fly helicopters to work without flight training, but many managers somehow think, “Everybody use AI now,” makes sense.
Just follow trumps stock trades. That will talk you all you need to know about where the market is headed.
they cut our copilot budget to 19€ per person (you can request more. but of course it’s a hassle)
they still insist AI the future and more AI is better. they are just now shifting the blame to employees: “you need to think more about how you use it”, “you cannot just throw tokens at a problem”, etc
two months ago I got an email from a manager asking me why my AI spending was so low.
But you better keep that output high. In hindsight this was so obviously gonna happen
Wait, we’re not tokenmaxing anymore? So when the AI salesman said to make a leaderboard of people spening the hardest, it was to line their own pockets with cash? Huh. Color me surprised.
So next, you’ll tell me that it costs more to have an LLM produce the same quality of code as a senior developer.
At our company, 12 months ago they said everyone wasn’t using enough AI. They even made a leaderboard to see who was using the most tokens in the business and encouraged more and more.
A couple of months ago, everyone’s AI spend was restricted to $100/month without warning. Entire workflows broken overnight because people had built theirs around Claude skills that used stupid amounts of tokens.
Now they’re starting layoffs. Go figure.
This just in, Management are complete morons. Film at 11.
This. You’d almost think people are dumb enough to blame bad management decisions on software.
Trend chasing upper class idiots
Remember when chatgpt first went viral and everyone said that “prompt engineer will be the new career path”. So, how’s that going?
Just in time for the big tech AI companies’ bills to come due to their investors. Excellent… taps fingertips together
Now let’s be honest here, work slop is absolutely nothing new. I’ve had coworkers who will spend countless hours on a fucking useless “walking deck” which is the dumbest fucking idea I’ve ever heard of. Its just a slideshow full of pretty pictures that morons like but says almost nothing useful. Just departmental marketing wank. At least slop is more democratic now, I can pull one of these turds together in 5 minutes, impress the dipshits that like pretty graphics that look good, but mean nothing.
January: We’re going AI native, please use AI as much as possible.
March: Everyone needs to attend workshops on how to maximize AI productivity.
July: Some models are only available for special (properly justified) cases. Speak to your manager. Turns out that some people did everything (even commits) with top cost models.
August: Ok, we’re setting some limits on token usage, due to some people spending 1000% over the average.
September: we are creating additional frameworks and limits to AI use.
It took a bit of time for the actual AI cost/benefit to reach the top management and put some hard numbers in contrast with the hype machine, but it’s happening.
Everyone who was paying attention even a little bit has known this would be the trajectory from the beginning. And we haven’t even gotten to the crazy price hikes per token that are coming.
And we haven’t even gotten to the crazy price hikes per token that are coming.
Why do you think that?
IMHO, API prices are likely to drop over time as we scale up and efficiencies are found, combined with general pricing pressure from the competition… SOTA models will continue to have SOTA prices, of course, but reasonable priced distilled and open weights models are already common.
A consequence of API prices dropping is that “heavily discounted” consumer plans will also adjust and won’t be so generous relative to API prices.
Because these companies started selling at a loss from the start to get people hooked. Neither Claude nor OpenAI are turning a profit right now.
IMHO, API prices are likely to drop over time as we scale up and efficiencies are found, combined with general pricing pressure from the competition… SOTA models will continue to have SOTA prices, of course, but reasonable priced distilled and open weights models are already common.
Some of this seems like wishful thinking to me.
“as we scale up” We already have large data centers, and, if anything, “scaling up” is just driving up expenses for debt and hardware. The real problem with AI, relative to the internet boom, is that the more you use it, the more expensive it is. The economies of scale to be taken advantage of are minimal.
I do think price of compute will come down, but exactly because people will be running their own open source models on their own hardware instead of Sam Altman to stack GPUs in a warehouse, but it will still be too expensive and inaccurate.
And we’re still headed for a financial cliff in this scenario.
They were supposed to do their IPO and have positive cash flow already. Time is running out before investors are getting antsy and there’s no more money available for scaling up.
My company is at the July stage. Who knew giving people unrestricted access to Claude enterpise with no training would blow through budgets in days
Do we work at the same company??
I think this was the standard management reaction across all the companies that embraced AI as if it was the second coming of Jesus Christ.
C-Suit are herd animals. Same schools, same country clubs, same conference. They all are formed the same. And they don’t take advise from people who earn a few orders of magnitude less.
Fortunately, the people above them care about numbers, and these don’t add up.
They thought it was their ticket to fire everybody, and the more they made you use it the sooner they could fire you.
Soon, the guys upstairs will realise that the real savings are in replacing the middle management with agents, not replacing the workers. Fingers crossed.
That will just become a different kind of hell
I don’t doubt that for a second, my friend.
I was a PM at a major now-hyperscaler and one of the engineers on my team was pretty vocal about PM not contributing.
He ended up leaving for a team that didn’t have one. A few years later I happened to be in his new building, he saw me, and came up with this huge grin on his face, “oh wow are you joining our team?”
You always hate the chick writing the specs until you don’t have one any more. 😂
I feel like we’re co-workers, with how perfectly that timeline matched the day-job’s progression.
We’re at “did you take the seminar on looping that uses tokens like a firehouse so you can use less tokens? Why are you using too little (/not enough) tokens, and why is it not magically 10x-ing all of your (fucking ansible) config?” Or some shit.
We are ruled by idiots. It’s probably been that way for the majority of history.
Most places I’ve worked, management has been a negative force.
Management is good at accumulating and maintaining power. Competence in actually getting stuff done doesn’t really help with that.
Competence would require pointing out flaws someone else is responsible for, which would certainly enganger your career eventually. So, not only is competence unnecessary in management, it is actively selected against.
Someone sent me what was clearly an AI generated doc. I read it, realized it was all AI, had my AI summarize it and ended up with nothing that brought new thinking
What a loop…
What, you don’t want to read a 10 page doc made from a 2 sentence prompt?
This is the thing that drives me absolutely nuts with how most people use LLMs at work. I’m fully capable of asking the LLM to create slop, I need others to actually check and ensure their documentation is useful and correct before communicating it with others.
you are part of the problem
They’re just quoting the article… Which you’d know if you bothered to read at all, or even just look at the fact that it was quoted in their comment.
I did read the article, but missed that this was a quote. I stand corrected.
If only literally everyone warned them this would happen…
But [company] selling [thing] told me it’s good, it’s not like they would lie about that!
“Why would I deceive you?”
The salesman took me out for a steak dinner and then a strip club! He’s my friend!
