OpenAI has temporarily stopped selling the Plus plan
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OpenAI has temporarily stopped selling the Plus plan
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Re: OpenAI has temporarily stopped selling the Plus plan
#2Re: OpenAI has temporarily stopped selling the Plus plan
#3The comments are so ignorant it's unreal. I think the OpenAI team is doing their best. I've heard it's actually hard to scale an app to 100+ million users
Re: OpenAI has temporarily stopped selling the Plus plan
#4The comments are so ignorant it's unreal. I think the OpenAI team is doing their best. I've heard it's actually hard to scale an app to 100+ million users
Re: OpenAI has temporarily stopped selling the Plus plan
#5The comments are so ignorant it's unreal. I think the OpenAI team is doing their best. I've heard it's actually hard to scale an app to 100+ million users
GPT-4 is the greatest software developer in the world. I'm sure that it can scale itself easily.
commit author: GPT-4
commit message: ":rocket_emoji: Set all Azure clusters to autoscale in order to resolve flooded message queue"
Re: OpenAI has temporarily stopped selling the Plus plan
#6Re: OpenAI has temporarily stopped selling the Plus plan
#7> I bought it and it was removed off of my account. I paid money for a feature I never got. Anyone else get this?
It look like a very bad experience. if i were him, i would issue a credit card charge back
Re: OpenAI has temporarily stopped selling the Plus plan
#8Let's just look at GPT 3. Each forward pass requires 2N=350B flops per token. The computational overhead of the attention mechanism is negligible but the memory overhead of the attention for all users is not, but we can ignore that for now. Let's assume each query involves ~200 tokens of combined input and output. That's 70T flops per query. Let's say the cost of compute is 1 cent per 100B flops (probably a lowball). That's $7 per query for compute alone.
And that's just GPT 3.
Re: OpenAI has temporarily stopped selling the Plus plan
#9Re: OpenAI has temporarily stopped selling the Plus plan
#10GPT3 has 175 billion parameters and Altman said 4 would use way more compute than 3. Let's just look at GPT 3. Each forward pass requires 2N=350B flops per token. The computational overhead of the attention mechanism is negligible but the memory overhead of the attention for all users is not, but we can ignore that for now. Let's assume each query involves ~200 tokens of combined input and output. That's 70T flops pe…