I used Google Bard for the first time today specifically because ChatGPT was down. It was honestly perfectly fine, but it has a slightly different tone than ChatGPT that's kind of hard to explain.
I used it for the first time today too, for the same reason. It was slower and much worse at coding. I was just asking it for SQL aggregation queries and it just ignored some of my requirements for the query.
Major outages across ChatGPT and API
241–250 of 617 posts
Re: Major outages across ChatGPT and API
#242Re: Major outages across ChatGPT and API
#243I'm imagining a bunch of Tech Priests doing rituals and chanting in front of the data center to encourage the Machine Spirit to restart.
Re: Major outages across ChatGPT and API
#244I used Google Bard for the first time today specifically because ChatGPT was down. It was honestly perfectly fine, but it has a slightly different tone than ChatGPT that's kind of hard to explain.
I used it for the first time today too, for the same reason. It was slower and much worse at coding. I was just asking it for SQL aggregation queries and it just ignored some of my requirements for the query.
Re: Major outages across ChatGPT and API
#245Earlier quoted context omitted.
Most services have a lot more systems than OpenAI and thus it is degraded performance when a few of them don’t work. Degraded performance isn’t a good thing, I don’t understand the issue with this verbiage.
Having multiple systems down sure sounds like a major outage to me. Not a complete outage, sure, but still a major one.
Red - Entire services are down
Orange - Partial outage of services, some functionality completely down
Yellow - Functionality performance degraded and may timeout/fail, but may also work
Greed - Situation normal
Re: Major outages across ChatGPT and API
#246Earlier quoted context omitted.
>distributed training networks Now that's an idea. One bottleneck might be a limit on just how much you can parallelize training, though.
There's a ton of work in this area, and the reality is... it doesn't work for LLMs. Moving from 900GB/sec GPU memory bandwidth with infiniband interconnects between nodes to 0.01-0.1GB/sec over the internet is brutal (1000x to 10000x slower...) This works for simple image classifiers, but I've never seen anything like a large language model be trained in a meaningful amount of time this way.
Re: Major outages across ChatGPT and API
#247Might as well have a quick discussion here. How's everyone finding the new models? 4-Turbo is a bit worse than 4 for my NLP work. But it's so much cheaper that I'll probably move every pipeline to using that. Depending on the exact problem it can even be comparable in quality/price to 3.5-turbo. However the fact that output tokens are limited to 4096 is a big asterisk on the 128k context.
Re: Major outages across ChatGPT and API
#248Earlier quoted context omitted.
The point is, OpenAI spent a lot of money on training on all these copyrighted materials ordinary individuals/companies don't have access to, so replicating their effort would mean that you either 1) spend a ridiculous amount of money, 2) use Library Genesis (and still pay millions for GPU usage). So we have very little choice now. Open Source LLMs might be getting close to ChatGPT3 (opinions vary), but OpenAI is sti…
the choice is to live 2 years behind (e.g. integrate the open source stuff and ride that wave of improvement). for businesses in a competitive space, that’s perhaps untenable. but for individuals and anywhere else where this stuff is just a “nice to have”, that’s really just the long-term sustainable approach. it reminds me of a choice like “do i host my website on a Windows Server, or a Linux box” at a time when bot…
Not to mention openai's lead compounds, so 2 years now and 4 years in 2025 may be 10 times the original prod/qol gain.
Re: Major outages across ChatGPT and API
#249Lots of jokes to be made, but we are setting ourselves up for some big rippling negative effects by so quickly building a reliance on providers like OpenAI. It took years before most companies who now use cloud providers to trust and be willing to bet their operations on them. That gave the cloud providers time to make their systems more robust, and to learn how to resolve issues quickly.
The point is, OpenAI spent a lot of money on training on all these copyrighted materials ordinary individuals/companies don't have access to, so replicating their effort would mean that you either 1) spend a ridiculous amount of money, 2) use Library Genesis (and still pay millions for GPU usage). So we have very little choice now. Open Source LLMs might be getting close to ChatGPT3 (opinions vary), but OpenAI is sti…
Re: Major outages across ChatGPT and API
#250Earlier quoted context omitted.
Typicaly those using chatgpt are junior devs, not much lost if they can't access it.
Dumbest take I've seen yet
Can't sell that aspect short; the OpenAI tools have enabled me to do things and understand things that would otherwise have had a much longer learning curve.