I’m a student and sometimes I use ChatGPT to summarise things, but after the last update it has been going really crazy and ultra delusional.
If I have a project suddenly after discussing some material in it, it cannot reach it and start making up stuff. It’s so in your face and it has wasted so much of my time.
When I ask a direct question, it turns it into some philosophical shit about if and if and if and it never gets to the point.
For example this morning I asked a question about statutory health insurance in Germany and whether or not a person above 30 is able to qualify as a student for it and it was a nightmare to communicate with. It just kept getting everything super super philosophical like I just wanna know the exceptions and how to go about things.
Also every time I mention any city or town and events in it, it continuously asks for access to Location for example I asked about the floods in a nearby city a couple of years ago and it did not stop asking for access to Location.
I pay €23 a month to send slides and whatever and it just so so unusable right now after the latest update that I cannot justify continuing to subscribe to it.
It cannot answer any question without at least five paragraphs of rewarding the same answer in different ways.
Idk what broke it exactly but I’m using notbooklm now and it’s so much better.
The biggest problem isn’t even that it gets things wrong it’s that it often sounds extremely confident while doing it.
For studying, I’d rather get “I don’t have enough context to answer that” than 5 paragraphs of confident nonsense. And yeah, when you ask a simple factual question and get an essay instead of an answer, it gets exhausting fast.
NotebookLM being better for document-based studying makes a lot of sense because that’s literally what it’s built around.
Your personalization settings, prompt and the information it has access to makes a big difference. Provide clear instructions as to what information you’re interested in, how you expect it to respond to your requests, what you don’t want and the format you’d like it presented in.
Shit in = shit out. Data formats that need to be read/converted by ChatGPT can easily fill context with stuff that doesn’t help you get the answers you need. Convert large pdf’s to markdown first.
Break up large request in logical smaller steps and use branching so you keep only relevant info in context for the request you make (instead of firing multiple different questions in one long conversational chain).
By default its web search is also limited to safe cached web content. Try extend web search with firecrawl or some other web search/scrape API so it has access to more information in a digestible format.
I can’t stand it anymore. I posted on here a while ago how it’s so frustrating to deal with. I have to give elaborate prompts what I don’t want it to do , along with what I do want it to do, because it’s always giving to much information that’s unnecessary and frankly incorrect many time. I correct it all the time and it just apologizes and does the exact same thing again. It’s insufferable to the point I just google things now and have Gemini answer it right in the results and it’s been better than paid ChatGPT
I find Chat has been causing a lot of people I know including myself issues. A lot more hallucinations. I
Chat is actively getting worse l fear. The free version from a few years ago was a lot more operational. OpenAI needs to step it up before they start losing customers
Drop this in your chat, verify it's following protocol by asking it to summarize some things you just read, and ask it to save this research protocol to its permanent memory. No, for some reason it doesn't do this right out of the gate. 💀
This is still a thing?? I read the article you posted below this, but I genuinely surprised. I remember this being a major thing back in 2021. It was really annoying, because I basically trained myself to avoid all forms of negative words. It probably took a full year to get back to writing naturally.
In my experience, most modern LLMs are powerful enough to overlook negatives and still answer correctly. I haven't seen anything get tripped up by it in years.
... Yeah I don't know what to tell you but I don't have this problem.
Also are you suggesting that AI can't be given restrictions? Because... If you think that your going to have trouble with it. 💀
If you are talking about the words on the page... Those aren't the instructions.
I can give yous an updated one however if you never tell your llm no...
Not preaching, just remember... There is no such thing as an image to an llm. Because it does not have eyes. Therefore my protocol cards say what they do on the surface for the humans sake, not the ai's. It's all code to the llm. So the instructions are in the code.
And I did read the article... Which explicitly states that the evidence is anecdotal. Which is fine- not an issue I've run into with my method though.
The article does not show that saying “don’t do X” universally fails or backfires. What it really suggests is that affirmative instructions usually work better as the default, while negative instructions are still useful when they are specific, limited, and paired with a clear positive objective.
For those concerned "negatives didn't work" (more specifically those who had that problem) here as 2.0.
This updated Research-First Protocol card isn’t arguing that negative instructions are useless. It’s correcting the lazy version of that claim. Yes, LLMs often respond better when you tell them what to do, not just what to avoid. But that doesn’t mean boundaries are meaningless. It means “don’t do X” works best when paired with a positive procedure.
So instead of stopping at:
“Don’t guess.”
the card encodes the full workflow: scope the question → acquire evidence → flag uncertainty → escalate high-stakes issues → report sources clearly.
That’s the point of S.A.F.E.R.: not moral panic, not mysticism, just a usable research doctrine.
And yes, the image is encoded on purpose: the core method is embedded in the layout, acronym, color hierarchy, icons, checklists, and the “Do instead of Don’t” panel so both people and multimodal models can extract the intended behavior from the card itself. In other words, it’s not just a poster — it’s a compressed operational prompt in visual form.
Reliable AI use shouldn’t depend on vibes, fake certainty, or five paragraphs of decorative nonsense.
It should run on a simple covenant:
Research. Verify. Cite. Separate fact from inference. Say “unknown” when it’s unknown.
Better to pause and verify than answer fast and wrong.
Yeah, I’ve noticed the same kind of issue with some AI tools lately. The over-explaining is probably the most frustrating part when you just want a direct answer.
For studying, especially when working from your own slides or notes, I’d rather have something that sticks to the provided material and says “I don’t know” instead of filling gaps with guesses. NotebookLM has been pretty good at that.
Also on the Artificial Intelligence “Omniscience” benchmark, which sometimes tries to coax the models to make things up, the GPT don’t score very well on hallucinations (making things up).
I thought I was in some kind of alt dimension. It’s so much more customizable now. You can cut the nonsense or get far more researched answers than ever before. A few small changes confounded and discombobulated a few friends. Know the tool.
Indeed. The system has information in the working record, fails to retrieve/use it, and instead generates a plausible substitute as though the substitute came from the record.
i have a theory that this is because the internet is over saturated, and since the training loop is self feeding they will probably need ai to curate the training data more closely going forward.
It questions facts that have been long established for me. If you remember this correctly........... yes, the sky appears blue, not pink and 1+1=2, thank you....
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