- cross-posted to:
- [email protected]
- cross-posted to:
- [email protected]
You must log in or # to comment.
that came after Uber told employees to use AI as much as possible and Uber’s CTO said the company had blown its entire AI budget in four months
Further evidence that most CEO’s and SLT’s are just confident, lucky, and born wealthy; not competent, smarter, or much better than average.
AI is about to join the list of “stupid technologies that people should really wait and see before investing on”, which includes
- 3D TVs - complete dud
- Blockchain - useless for real world problems already solved by typical computing
- Metaverse - still one of the best jokes around
- Folding screen phones - overpriced junk
- Fully autonomous self driving cars - “Just around the corner” for the past 10 years
- Replace workforce with AI because it’s easy to be lazy with AI.
- Remaining workforce uses AI to be lazy.
- SurprisedPikachu.webp
Ew, webp. Chatgpt, convert that shit for me
Hey, webp is awesome! Both lossless and lossy compression work great with it. Only thing lacking is software support
Okay fine. ChatGPT, convert it back.
But not all browsers support it!
Grok, add webp support to all browsers
Using an LLM to parse stuff is like using a rocket launcher to kill an ant.
You can accomplish the same thing using a million times fewer resources with a purpose-built program.
Will, that’s what happens when employers tell employees that they should “use ai first”, track their token use on a dashboard, and tell them they’ll get fired if they are too low on the monthly ranking.
Yeah, my manager expressed satisfication with me being one of the people using my quota of tokens.
I have generated so much throwaway content that never gets used and only gets deleted to burn the tokens to avoid getting the “you aren’t using AI enough” talk. The fact they can see my actual productive output and believe AI is involved shows how utterly disconnected the metric is from reality.
Damn how can I get a job whose primary KPI is just burning tokens?
Edit: actually the answer is “Amazon consultant” based on the experience I had observing one of them “working”. He just repeatedly prompted their LLM and went around in circles instead of actually doing anything useful.
You know, if we were taught to use something like LaTeX, this wouldn’t be an issue because of BEAMER
I’ll take typst any day over latex lol
Typst isn’t bad. I like it for it’s font handling over LaTeX. However, if the font you want has a package, it’s better to go with LaTeX for its portability.
This dumb bubble can’t pop soon enough and wipe away most of the US economy while doing so.
True except the 80% of people who will suffer further because of it, and the 20% that will gleefully be laughing to the bank and buy up everything at a discounted price. Few of us should be cheering for the failure or success of AI.
If it’s going to fail I’d rather just get it over with.
Many would say that, but usually when societies have abrupt crashes, it isn’t pretty, and everyone suffers more because of it. Who knows, maybe you are part of that 20% that will gleefully laughing to the bank, but like most of the rest of us, I doubt it.
You’re countering a statement I didn’t make.
The problem seems to be that it takes competent employees to get anything useful out of an LLM in the first place. However, it is these very employees whom the greedy CEOs want to replace. So the result is that an incredible amount of money is being spent on absolutely nothing.
The logical conclusion, then, should be that it would make more sense to replace these useless CEOs with AI. Since they’re just making idiotic decisions for a lot of money anyway, there could be lots of savings.
Unfortunately, however, that will never happen, because contrary to all that talk of KPIs and such, what really matters in the upper echelons of management is never efficiency, but rather ruthlessness and brown-nosing.
My employer has this figured out the right way: AI tools in the hands of competent employees can get a lot done. The engineers themselves agree and are long past their initial chilly reaction. They now have their workflows figured out and routinely report that they did something in minutes that would have taken them hours to do manually.
And even under this rosier picture, token budgets are an issue. These guys have agents running agents running agents that use a whole ecosystem of internal MCP servers and skill plugins and on and on. They say they never shut their laptops because they have 6 or 7 things running at all times. The LLM usage is ridiculous.
Once the LLMs cost what they actually cost, there will be a big time reckoning. First companies will crack down, then they will futz with on-premise models, then they will drive for SLMs and other slimmed down stuff. And they will pay the big guys 100x what they are now for 1/100th the usage.
But hey I don’t know why I’m posting in substance about the real world when all we are here to do is say AI is bullshit and CEOs are dumb. Carry on I guess.
