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‘AI is no longer optional’ — Microsoft admits AI doesn’t help at work
(pivot-to-ai.com)
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this post was submitted on 30 Jun 2025
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Big brain tech dude got yet another clueless take over at HackerNews etc? Here's the place to vent. Orange site, VC foolishness, all welcome.
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FWIW, I work in a field that is mostly related to law and accounting. Unlike with coding, there are no simple "tests" to try out whether an AI's answer is correct or not. Of course, you could try these out in court, but this is not something I would recommend (lol).
In my experience, chatbots such as Copilot are less than useless in a context like ours. For more complex and unique questions (which is most of the questions we are dealing with everyday), it simply makes up smart-sounding BS (including a lot of nonexistent laws etc.). In the rare cases where a clear answer is already available in the legal commentaries, we want to quote it verbatim from the most reputable source, just to be on the safe side. We don't want an LLM to rephrase it, hide its sources and possibly introduce new errors. We don't need "plausible deniability" regarding plagiarism or anything like this.
Yet, we are being pushed to "embrace AI" as well, we are being told we need to "learn to prompt" etc. This is frustrating. My biggest fear isn't to be replaced by an LLM, not even by someone who is a "prompting genius" or whatever. My biggest fear is to be replaced by a person who pretends that the AI's output is smart (rather than filled with potentially hazardous legal errors), because in some workplaces, this is what's expected, apparently.
Aaaaaah. I know this person. They're an accountant. They recently learned about AI. They're starting to use it more at work. They're not technical. I told them about hallucinations. They said the AI rarely wrong. When he's not 100% convinced, he says he asks the AI to cite the source.... 🤦 I told him it can hallucinate the source! ... And then we went back to "it's rarely wrong though."
I am often wondering whether the people who claim that LLMs are "rarely wrong" have access to an entirely different chatbot somehow. The chatbots I tried were rarely ever correct about anything except the most basic questions (to which the answers could be found everywhere on the internet).
I'm not a programmer myself, but for some reason, I got the chatbot to fail even in that area. I took a perfectly fine JSON file, removed one semicolon on purpose and then asked the chatbot to fix it. The chatbot came up with a number of things that were supposedly "wrong" with it. Not one word about the missing semicolon, though.
I wonder how many people either never ask the chatbots any tricky questions (with verifiable answers) or, alternatively, never bother to verify the chatbots' output at all.
AI fans are people who literally cannot tell good from bad. They cannot see the defects that are obvious to everyone else. They do not believe there is such a thing as quality, they think it's a scam. When you claim you can tell good from bad, they think you're lying.
In other words, AIs are BS automated BS artists... being promoted breathlessly by BS artists.
LLMs have their flaws, but to claim they are wrong 70% of the time is just hate train bullshit.
Sounds like you base this info on models like GPT3. Have you tried any newer model?
(source)
Frankly surprised to see something this funny on LinkedIn.
afaik the meme format didn't start there, but otherwise agreed
I have a Kubernetes cluster running my AI agents for me so I don't have to learn how to set up AI agents. The AI agents are running my Kubernetes cluster so that I don't have to learn Kubernetes either. I'm paid $250k a year to lie to myself and others that I'm making a positive contribution to society. I don't even know what OS I'm running and at this point I'm afraid to ask.
it can’t be that stupid, you must be using yesterday’s model
ah, yes, i'm certain the reason the slop generator is generating slop is because we haven't gone to eggplant emoji dot indian ocean and downloaded Mistral-Deepseek-MMAcevedo_13.5B_Refined_final2_(copy). i'm certain this model, unlike literally every past model in the past several years, will definitely overcome the basic and obvious structural flaws in trying to build a knowledge engine on top of a stochastic text prediction algorithm
common mistake, everyone knows you need
Mistral-Deepseek-MMAcevedo_13.5B_Refined_final2_(copy)_OPEN(leak)- the other one was a corporate misdirection attemptThey're also very gleeful about finally having one upped the experts with one weird trick.
Up until AI they were the people who were inept and late at adopting new technology, and now they get to feel that they're ahead (because this time the new half-assed technology was pushed onto them and they didn't figure out they needed to opt out).
Exactly. It is also a new technology that requires far fewer skills to use than previous new technologies. The skills are needed to critically scrutinize the output - which in this case leads to less lazy people being more reluctant to accept the technology.
On top of this, AI fans are being talked into believing that their prompting as such is a special “skill”.
That's why I find the narrative that we should resist working with LLMs because we would then train them and enable them to replace us problematic. That would require LLMs to be capable of doing so. I don't believe in this (except in very limited domains such as professional spam). This type of AI is problematic because its abilities are completely oversold (and because it robs us of our time, wastes a lot of power and pollutes the entire internet with slop), not because it is "smart" in any meaningful way.
but that's how it was marketed as to people that buy it. doesn't matter that it doesn't work
This has become a thought-terminating cliché all on its own: "They are only criticizing it because it is so much smarter than they are and they are afraid of getting replaced."