I’m seeing everyone reporting “laziness” today on X. Like it’s telling people to do their own coding. What’s up with that?
OpenAI: Increased errors across API and ChatGPT
41–50 of 67 posts
Re: OpenAI: Increased errors across API and ChatGPT
#42> OK I have a table in postgresql and I am adding a trigger such that when an insert happens on that table, an insert happens on another table. The second table has a constraint. What happens to the first insert if the second insert violates the constraint? How can I get help with this now? Google result 1: https://stackoverflow.com/questions/77148711/create-a-trigge... Google result 2: https://dba.stackexchange.com/…
Well, were it possible, I'd say go back in time and study your tools so that you're not spending the journeyman period of your career ricocheting between tutorials and faqs. Failing that, read the documentation. Failing that, stand up a quick experiment. Somehow, we survived before ChatGPT and even before saturated question boards. Those strategies are still available to you and well worth learning
Re: OpenAI: Increased errors across API and ChatGPT
#43Earlier quoted context omitted.
This conspiracy always comes up - don't you think that they test the output of the model revisions on probably 1000s of downstream tasks at this point? Bad responses are hard to reason about, could be prompting, could be a model revision, could just be bad luck.
Or maybe they are just AB testing and aggressively optimizing the response generation? LLMs are known to be compute/energy hungry to execute. It is a developing technology, if not downright experimental. Therefore, this explanation is very likely. I cannot see the reason to call this a conspiracy.
It would make more sense if that was internal and the responses were then graded.
A failed canary release would be more likely, where they released this version to a small amount of people not realising it was bad
Re: OpenAI: Increased errors across API and ChatGPT
#44Not working for me. Am I going to have to read docs or search Google like some boomer?
Re: OpenAI: Increased errors across API and ChatGPT
#45> OK I have a table in postgresql and I am adding a trigger such that when an insert happens on that table, an insert happens on another table. The second table has a constraint. What happens to the first insert if the second insert violates the constraint? How can I get help with this now? Google result 1: https://stackoverflow.com/questions/77148711/create-a-trigge... Google result 2: https://dba.stackexchange.com/…
Well, were it possible, I'd say go back in time and study your tools so that you're not spending the journeyman period of your career ricocheting between tutorials and faqs. Failing that, read the documentation. Failing that, stand up a quick experiment. Somehow, we survived before ChatGPT and even before saturated question boards. Those strategies are still available to you and well worth learning
Re: OpenAI: Increased errors across API and ChatGPT
#46I think we need a new type of status page or at least a public version number on llms, yesterday for me GPT4 started giving nonsense super generic answers, like it was hardly reading what I wrote, and today it is back to top notch performance. I think they were trying to make the model more efficient or something but I just saw a massive decrease in the quality of output. From my side though, there is no version numb…
This conspiracy always comes up - don't you think that they test the output of the model revisions on probably 1000s of downstream tasks at this point? Bad responses are hard to reason about, could be prompting, could be a model revision, could just be bad luck.
Re: OpenAI: Increased errors across API and ChatGPT
#47Earlier quoted context omitted.
Or maybe they are just AB testing and aggressively optimizing the response generation? LLMs are known to be compute/energy hungry to execute. It is a developing technology, if not downright experimental. Therefore, this explanation is very likely. I cannot see the reason to call this a conspiracy.
AB testing on what? AB tests need to produce some results which are then compared. How would releasing different versions in production help with that? It would make more sense if that was internal and the responses were then graded. A failed canary release would be more likely, where they released this version to a small amount of people not realising it was bad
Re: OpenAI: Increased errors across API and ChatGPT
#48Earlier quoted context omitted.
Well, were it possible, I'd say go back in time and study your tools so that you're not spending the journeyman period of your career ricocheting between tutorials and faqs. Failing that, read the documentation. Failing that, stand up a quick experiment. Somehow, we survived before ChatGPT and even before saturated question boards. Those strategies are still available to you and well worth learning
The "good old days weren't always good". I'm tired of either limiting myself to the information I have on the top of my head, the LLMs are really helping allow me to be creative and stretch out to do things that are just beyond my bread and butter, or things that I do infrequently.
Re: OpenAI: Increased errors across API and ChatGPT
#49Re: OpenAI: Increased errors across API and ChatGPT
#50Earlier quoted context omitted.
Well, were it possible, I'd say go back in time and study your tools so that you're not spending the journeyman period of your career ricocheting between tutorials and faqs. Failing that, read the documentation. Failing that, stand up a quick experiment. Somehow, we survived before ChatGPT and even before saturated question boards. Those strategies are still available to you and well worth learning
Yeah, not all of us have memories that work like that. I’ve studied my tools but often forget the little details. My productivity has increased since GPT has come out.