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To be fair, I think a 32GB RAM should have costed $60 by now, if not for this AI shit.
why the hell didn’t i get that ddr4 3600mhz 32gb when it was on sale for like $85 😭
And hard disks too. Fuck myself for thinking 4TB NAS drives were too expensive.
i got my chance with the hdd this May and i took it, a factory refurbished 28tb exos, through Amazon prime. $360 including shipping and tax.
otherwise i would be deleting shit right now 🥳
what bothers me most about the ram is that when i assembled my pc like 10 years ago, i paid $180 for 16gb of ram, because ram pricing was riding a bubble then too.
Why would ChatGPT use phrases like “weird” and “call the police” and all these stupid emoji?
It’s either from the context or a deliberately chosen chat style, I presume.
One thing that isn’t emphasized enough about the ChatGPT app is that it’s “far” from the LLM. There’s a ton of stuff wrapping around it and getting injected into the context, tons of tracking and personalization and engagement maximization.
And the Chat models are finetuned to oblivion. They are deep fried.
It gives me creepy Facebook vibes.
It’s definitely deliberately chosen. There’s no way it’d randomly just go into Reddit speak; that’s not how an LLM like this works: it maintains that generic, stale toast tone unless you ask it otherwise.
Which also makes me question what the prompts before this were and makes me assume this is faked. Like “pretend to be shocked” faked.
It’s not a pure LLM though. It’s ChatGPT. That’s what I’m saying; users have no idea what else is in the context, and it could easily be something that pushes it to “Reddit speak.”
When I’ve seen my parents use it, it brings up things it could not possibly know from the current conversation, so its definitely inserting previous context at the very least.
When I’ve seen my parents use it, it brings up things it could not possibly know from the current conversation, so its definitely inserting previous context at the very least.
I have literally no idea what you’re so confidently talking about by “pure LLM”. It’s hooked into other stuff too that lets it e.g. properly do math (I’d assume it can by this point?), generate/analyze images, etc. But that has fuck-all to do with whether it can bring previous context into a conversation. Go read the 2017 paper “Attention is All You Need”; literally the whole point of a transformer model is that it can assess the surrounding context of input tokens out to a basically arbitrary depth thanks to its heavy parallelization. It’s obviously imperfect; go watch the most recent Kitboga video (clickbait, sorry) where he creates Gertrude the Pig by leading a scambot away from its training data.
In fact, older LLMs (similarly “pure”, again whatever that means) had far worse problems with being cursed by memory. That’s why the LSTM was invented from the RNN: because the model needed to have a way to forget accrued past context over time, or the results would quickly corrupt on longer inputs. (Keep in mind that with LSTMs, I’m mainly talking about performing more basic things like sentiment analysis.) That didn’t make it “impure”; it just made it not as good at its job as a GPT.
Anyway, unless previously prompted to change to this tone: no, in 2026, it’s not just going to start saying “I’d call the police 😂” in response to high component prices.
Whoa. What’s with the jump to being so hostile?
The ChatGPT app injects history and all sorts of stuff into context automatically, I’ve seen it do it, and that might include something (like the user’s previous chats) that unintentionally give a style for the model to adopt.
To be specific, I saw ChatGPT reference a specific appointment of a family member in a context that was absent of that information, on a topic that had nothing to do with it. The only way it could have possibly known that was injecting the previous chat into context, silently.
That’s all I’m saying.
LLM architecture has nothing to do with that; its being done outside the LLM. By “pure”, I meant a chat interface where one can see the full prompt as input.
What I’m saying is, we don’t know if that’s the cause or not until we see the context. But it could plausibly be unintentional on the user’s part.
