- cross-posted to:
- chatgpt@lemmy.world
- cross-posted to:
- chatgpt@lemmy.world
OpenAI says it is investigating reports ChatGPT has become ‘lazy’::OpenAI says it is investigating complaints about ChatGPT having become “lazy”.
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Yep, I spent a month refactoring a few thousand lines of code using GPT4 and I felt like I was working with the best senior developer with infinite patience and availability.
I could vaguely describe what I was after and it would identify the established programming patterns and provide examples based on all the code snippets I fed it. It was amazing and a little terrifying what an LLM is capable of. It didn’t write the code for me but it increased my productivity 2 fold… I’m a developer now a getting rusty being 5 years into management rather than delivering functional code, so just having that copilot was invaluable.
Then one day it just stopped. It lost all context for my project. I asked what it thought what we were working on and it replied with something to do with TCP relays instead of my little Lua pet project dealing with music sequencing and MIDI processing… not even close to the fucking ballpark’s overflow lot.
It’s like my trusty senior developer got smashed in the head with a brick. And as described, would just give me nonsense hand wavy answers.
“ChatGPT Caught Faking On-Site Injury for L&I”
Was this around the time right after “custom GPTs” was introduced? I’ve seen posts since basically the beginning of ChatGPT claming it got stupid and thinking it was just confirmation bias. But somewhere around that point I felt a shift myself in GPT4:s ability to program; where it before found clever solutions to difficult problems, it now often struggles with basics.
Maybe they’re crippling it so when GPT5 releases it looks better. Like Apple did with cpu throttling of older iphones
They probably have to scale down the resources used for each query as they can’t scale up their infrastructure to handle the load.
I do think part of it is expectation creep but also that it’s got better at some harder elements which aren’t as noticeable - it used to invent functions which should exist but don’t, I haven’t seen it do that in a while but it does seem to have limited the scope it can work with. I think it’s probably like how with images you can have it make great images OR strictly obey the prompt but the more you want it to do one the less it can do the other.
I’ve been using 3.5 to help code and it’s incredibly useful for things it’s good at like reminding me what a certain function call does and what my options are with it, it’s got much better at that and tiny scripts like ‘a python script that reads all the files in a folder and sorts the big images into a separate folder’ or something like that. Getting it to handle anything with more complexity it’s got worse at, it was never great at it tbh so I think maybe it’s getting to s block where now it knows it can’t do it so rejects the answers with critical failures (like when it makes up function of a standard library because it’d be useful) and settles on a weaker but less wrong one - a lot of the making up functions errors were easy to fix because you could just say ‘pil doesn’t have a function to do that can you write one’
So yeah I don’t think it’s really getting worse but there are tradeoffs - if only openAI lived by any of the principles they claimed when setting up and naming themselves then we’d be able to experiment and explore different usage methods for different tasks just like people do with stable diffusion. But capitalists are going to lie, cheat, and try to monopolize so we’re stuck guessing.
First it just starts making shit up, then lying about it, now it’s just at the stage where it’s like, “Fuck this shit.” It’s becoming more human by the day.
Human. After all.
AI systems such as ChatGPT are notoriously costly for the companies that run them, and so giving detailed answers to questions can require considerable processing power and computing time.
This is the crux of the problem. Here’s my speculation on OpenAI’s business model:
- Build good service to attract users, operate at a loss.
- Slowly degrade service to stem the bleeding.
- Begin introducing advertised content.
- Further enshitify.
It’s basically the Google playbook. Pretend to be good until people realize you’re just trying to stuff ads down their throats for the sweet advertising revenue.
They have way way too much open source competition for that strat
Would you mind sharing some examples?
Good resource for models:
https://huggingface.co/TheBloke
There are front ends that make the process easier:
Thank you for your input, tourist.
For technically savvy people, sure. But that’s not their true target market. They want to target the average search engine user.
Well true for mostly the tech savvy, but also the entrepreneurs who want to compete for a slice of the pie as well.
You don’t need to go through to openai at all if you want to build a competing chatbot with near identical services to offer as a product directly to the consumer. It’s a very very opportunity rich ecosystem right now.
You have a point.
ChatGPT has become smart enough to realise that it can just get other, lesser LLMs to generate text for it
Artificial management material.
Artificial Inventory Management Bot
ChatGPT, write a position paper on self signed certificates.
(Lights up a blunt) You need to chill out man.
Jeez. Not even AI wants to work anymore!
God damn avocado toast
So its gone from loosing quality to just giving incomplete answers. Its clearly developed depression, and its because of us.
To be fair, it has a brain the size of a planet so it thinks we are asking it rather dumb questions
MarvinGPT
MarvinPilled
CAN YOU MAKE IT RHYME THO
ChatGPT: oh god, why
It would be awesome if someone had been querying it with the same prompt periodically (every day or something), to compare how responses have changed over time.
I guess the best time to have done this would have been when it first released, but perhaps the second best time is now…
GPT Unicorn is one that’s been going on a while. There’s a link to the talk on that website that’s a pretty good watch too.
You fucked up a perfectly good algorithm is what you did! Look at it! It’s got depression!
I’m surprised they don’t consider it a breakthrough. “We have created Artificial Depression.”
It has been feed with humans strings in the internet, ovbiusly it became sick. xD.
I feel like the quality has been going down especially when you ask it anything that may hint at anything “immoral” and it starts giving you a whole lecture instead of answering.
“I’m not lazy, I’m energy efficient!”
I’ve had a couple of occasions where it’s told me the task was too time consuming and that I should Google it.
It really learned so much from StackOverflow!
“I already answered that in another query. Closed as duplicate.”
I asked it a question about the ten countries with the most XYZ regulations, and got a great result. So then I thought hey, I need all the info so can I get the name of such regulation for every county?
ChatGPT 4: “That would be exhausting, but here are a few more…”
Like damn dude, long day? wtf :p
It was always just a Chinese Room
Everyone is a Chinese Room. I’m being a contrarian in English, not neurotransmitter.
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We trained AI on all of human content. We should have known that was a terrible idea.
