It's almost certainly because OpenAI is throwing less computing power at it in order to decrease the cost.
this post was submitted on 20 Jul 2023
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It's enshittification, then.
I mean, they've gotta to be blowing absurd amounts of money at it. It's not remotely cheap to build a massively complicated web service at that scale, and eventually the numbers need to start adding up. I'm sure they have several good monetization plans, but not every instance of a business attempting to stop hemorraghing money is a conspiracy. You'd be doing the exact same thing in their shoes.
Enshittification is not a conspiracy because a conspiracy requires communication and planning. Enshittification is just how idiots act when trying to make money.
i wouldn't even say that, it's just the logical end point of capitalism
Yes.
And extra infuriating they want to roll this stuff out after making it LESS reliable.
And there are more and more offline GPT AIs available for free. Now everyone with an above average computer can have their own chatGPT.
I mean an "average" computer would require a pretty beefy set of hardware. I think most of the average local llama's would run fairly decently on a MacBook without issue nowadays (that m3 is going to be a pretty awesome beast). But the quality is pretty reduced even compared to something like 3.5 which most people thought wasn't all that great.
But really, I'm excited about researchers have access to more computer for smaller amounts (see this https://www.chatgptguide.ai/2023/07/20/worlds-largest-supercomputer-for-ai-training-is-out/) currently we have 1T models that are good, but we could pretty soon have 100T models from the open source community. Let's see whether we can scale the hardware needs with the parameter growth so we don't need A100s to run a decent model.
It's still pretty rough to selfhost an LLM. You can get one that's kind of okay on an average computer, but to get a really competitive one running locally at a good speed, you need a huge amount of RAM that is still beyond most average users (VRAM for GPU based projects).
I've been trying to get Vicuna going and the RAM usage is rough, 60gb is suggested, and I've got 64 and I think I need a lot more honestly.
Huh… so after months of being exposed to people that aren’t quite as smart as world class computer scientists and engineers, it gets dumber. Maybe it’s more human that I previously thought.
it gets dumber
In six months, ChatGPT will be talking up Brawndo, because it's got the electrolytes that plants crave.
I wonder if it is in fact learning from people's prompts; I didn't think that was part of the operation. That's a huge design flaw if so.
ChatGPT existing is a design flaw. Just because we can do something, doesn't mean we should.
You think that’s bad? My calculator can’t even finish a simple sentence.
Boobs is a sentence.
It's not, but Bob bobs is.
A single word can be a full sentence, unless answers to either/or questions are not sentences.
Or is this one of those logic things where a train is only a train when the railway engine is connected to something?
A sentence needs a subject and a verb, if I remember grade school. Fun fact: "I'm." is a sentence. There can be an implied "You" in there. Like "[You] Stop!" or "[You] Go!"
The verb can be implied too. "Would you like mashed potatoes or fries?"
"[I would like] Fries."
There's also the joke sentence(?): "This sentence(,) no verb."
I'm pretty far away from an expert, but I'm pretty sure your example isn't a "real" sentence. It implies the subject and the verb. (I, like).
For any question the number of incorrect answers is larger than the number of correct answers.
This is a fundamental problem, constrained by energy costs, and one that will only be exacerbated as training datasets becomes more and more tainted by generated content.
For me it's like using a coffee machine to measure a time lapse, and then complaining that it doesn't always yield the same time lapse.
I dunno, one of the very first tests I gave ChatGPT was one of those order of operations equations, and this was in like week 2. It gave me wrong answers every time, even when I explained the correct one. It was very polite about its mistakes, but this has always been here.