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39 Kommentare
Promises promises.
[deleted]
You mean pretending that the slop factory is producing useful output so that we can check the AI box during PI planning isn’t working out? No way!
We’ve been hearing „reckoning soon“ for like 2 years. Until billionaires aren’t in control of everything anymore, there won’t be any reckoning.
Edit: Downvote if you want, but this AI push is clearly being headed up by a group of super rich dumbasses who won’t feel any pain whatsoever when it comes crashing down. It’s by design.
That’s absurd. 90% of the code is written by AI in my company now. And it’s a huge one. Adjusted and reviewed by human, but the heavy lifting is all done by AI. It works well. It saves hours of documentation digging.
I remember when lotus 1 2 3 came out. People didn’t really use spreadsheets very well in business at first either.
Change comes quick.
Does AI actually save money or boost productivity over human workers? AI software has a cost, server farms have a cost. I have heard the hype, but I have not seen any numbers to suggest AI is cheaper, more reliable than humans.
It’s a mild help to clever people but will be a disaster for the 90% of people that are bumbling midwits that won’t be able to tell when the AI is giving them bad info.
It takes a lot of brain power, or attention to detail to discern chatbot outputs that most people don’t have.
LLMs are search engines, the realisation of Conrad Gessner’s historic dream. Where what is being asked is already in a well-made model, the answer will be good; where it isn’t, the answer will be poor or hallucinated.
People just need to understand this, instead of acting like ancient Romans in front of a television, calling things what they are rather than slapping excessive magic labels on them.
On the fringes, there’s a fundamental software problem that doesn’t have much to do with LLMs: practically all management software is rubbish, tonnes of legacy junk, crappy integrations, development done without a big-picture vision, development done to sell more development and so on, all combined with the average company’s organisational inability to use today’s tools, because the bulk of companies are stuck in the Taylor/Weber/Fayol model…
Everyone that has found a use for models is being downvoted nonstop. I found a great user for it that saved me cash, but every single time I try explain how it helped, down you go. It’s almost as if the down voters do not understand the tools.
Using a tool without training, certainly one as dangerous as LLM’s can lead to catastrophic consequences
I assigned AI to load all the produce totes on the market truck and to make sure the Raab bunches had red rubber bands and labels. Let me tell you, what a clusterfuck!
I think it would be much better adopted and used if it wasn’t being crammed down everyone’s throats all day every day on every single meeting and conversation you have at work.
AI is terrible for all living things
I’m pleased to be a part of the tongue in cheek, sarcastic commenters on several sub Reddit’s here. Knowing that the AI slop machines have ingested my ramblings and used them to build “ knowledge “ brings a warm glow😁
I deliberately don’t touch AI on purpose, because fuuuck those wireback clankers.
The suggested prompts that my employer’s invoicing software recommends are also completely out of touch, and make a poor attempt at trying to do my job for me.
It doesnt matter. CEOs are all in. The mass layoffs are coming regardless if AI works or not…
If it’s like my company, they’ll just put all the work on the remaining employees and tell them to deal with it…
Good thing we invested so much into AI that we’re going to lose our shirts if it doesn’t pan out.
It’s wild to spend all day working and seeing phenomenal results across a massive org and then see these anti ai posts. It makes no sense at all, this feels like propaganda lol. There is so much low hanging fruit that was evaporated with a handful of skills let alone entire produces like cowork, and agentic workflow tools
AI Efficiency Gains Soon^^^TM
> Tech CEOs
AI Bubble Pop Soon^^^TM
>Reddit
They rolled it out too widely and too soon to too many idiots. It needs to be fine-tuned before it can be made useful. Techbros completely overstated the benefits.
It’s fun to play with for sure, and it can speed up some things as well, but overall for the amount of money they sunk into it? Not worth it.
Its expensive, you lay off good, competent workers for it, only for it to your remaining workers more work in fixing its mistakes, at scale its a disaster and no surprise this is happening. Wrecked Duolingo, wrecked Buzzfeed, causing outages at Amazon to name a few examples
Man Reddit is so anti ai I wonder if anyone actually uses it
No way! I’m making shitty excel docs that no one uses faster than ever before
I just wrapped up two days at a cyber security conference and my biggest take away is that AI makes things exponentially easier for threat actors whilst providing way less impact to defenders.
Auto crafting phishing campaigns, reducing time to exploit for 0 days, pulling together osint profiles of tarteged executives and more.
Meanwhile on the business side…. If you put in a tonne of effort, really dial in your controls, overhaul your IAM to account for machine identities, train custom models and accept that you will need to dedicate training time so juniors grown and maintain previously basic skills…
You might get something that still hallucinates and causes you to leak PII or give bad advice to customers.
AI is by and large useless. More cons than pros.
Amazing that a tool whispering into your ear that might or might not just be making shit up is bad for business.
ai feels like its gotten less and less useful. its like its already hit the point where its become recursive and its amplifying its own fuck ups.
Nope, but a very good excuse for „human ressources“.
“Deeks argues that if you built an AI system from first principles, it would look drastically different from what’s offered today.”
Nailed it. But it’s coming from an AI systems consultancy founded by PwC consultants. He’s selling AI “expertise” by shouting that everyone’s got it wrong.
PLEASE HURRY
Hit the nail on the head. The AI apocalypse is not upon us.
It cannot actually replace most human jobs yet. So therefore it is actually costing businesses more to pay for the human and the AI software.
The AI bubble won’t pop anytime soon.
It works very well. It gives the ceo the perfect excuse to layoff people due to poor business decisions, and then they can blame it on AI so that they can be perceived as making a “good” business decision (investing or utilizing AI) so they can boost their stock price and get their fat bonus.
/s
Codestrap has incentive to emphasize the reckoning narrative, this is framing bias.
But Sam said its scary how good AI has become and he doesn’t know if they are able to control it.
I just tried Claude Code and was astonished how good it works for extremely simple stuff – if you supervise it really tightly and check and re-check every single thing. It was actually quite mind-blowing.
But after that experience, I also realised that I absolutely wouldn’t trust it with anything complex. It’s just too risky, considering how tightly you have to supervise it.
It was a good experience, but I really don’t see how you could possibly scale it in any meaningful way.
Companies who went all in on Ai, prepare to get fucked for not abiding by your own Service Level Agreement.