Earlier quoted context omitted.
Yeah we're in an AI landgrab right now where at- or below-cost pricing is buying marketshare, lock-in, and underdevelopment of competitors. Smart move for them to pour money into it.
We have got to find a word for plans that are plainly harmful yet advantageous to their executors that's more descriptive than "smart..."
Introducing ChatGPT and Whisper APIs
441–450 of 696 posts
Re: Introducing ChatGPT and Whisper APIs
#442Earlier quoted context omitted.
> 10,416 words per hour, 173 words per minute, every minute, 24/7. Unless I'm misunderstanding something, it does not sound like that much when every query you make carries several hundred words of prompt, context and "memory". If the input you type is a couple words, but has 1k extra words automatically prepended, then the limits turn into 10 queries per hour, or one per 6 minutes.
Even with that math, I do not interact with ChatGPT 240 times per day.
Re: Introducing ChatGPT and Whisper APIs
#443Big news! Many apps will be integrating ChatGPT. Worried about AI-generated content flood the search engine, making it harder to do in-depth research.
Hurting Google by speeding the proliferation of this is going to be really interesting to watch.
Re: Introducing ChatGPT and Whisper APIs
#444Re: Introducing ChatGPT and Whisper APIs
#445Re: Introducing ChatGPT and Whisper APIs
#446Earlier quoted context omitted.
> I have no idea how OpenAI can make money on this. I did some quick calculation. We know the number of floating point operations per token for inference is approximately twice the number of parameters(175B). Assuming they use 16 bit floating point, and have 50% of peak efficiency, A100 could do 300 trillion flop/s(peak 624[0]). 1 hour of A100 gives openAI $0.002/ktok * (300,000/175/2/1000)ktok/sec * 3600=$6.1 back.…
It's also worth mentioning that, because Microsoft is an investor, they're likely getting these at cost or subsidized. OpenAI doesn't have to make money right away. They can lose a small bit of money per API request in exchange for market share (preventing others from disrupting them). As the cost of GPUs goes down, or they develop at ASIC or more efficient model, they can keep their pricing the same and then make mo…
Maybe I'm just old but back in my day this would be called "dumping" or "anti-competitive" or "market distortion" or "unfair competition". Now it's just the standard way of doing things.
Re: Introducing ChatGPT and Whisper APIs
#447Earlier quoted context omitted.
> I have no idea how OpenAI can make money on this. I did some quick calculation. We know the number of floating point operations per token for inference is approximately twice the number of parameters(175B). Assuming they use 16 bit floating point, and have 50% of peak efficiency, A100 could do 300 trillion flop/s(peak 624[0]). 1 hour of A100 gives openAI $0.002/ktok * (300,000/175/2/1000)ktok/sec * 3600=$6.1 back.…
I really wonder if one way they are able to make money on it is by monetizing all the data that pours into these products by the second.
Re: Introducing ChatGPT and Whisper APIs
#448Earlier quoted context omitted.
Even with that math, I do not interact with ChatGPT 240 times per day.
Not now, but if it'll end up powering next gen Copilot, email suggestions, search interfaces, etc. you might end up interacting with it a lot more each day, without realizing it.
Re: Introducing ChatGPT and Whisper APIs
#449> It is priced at $0.002 per 1k tokens, which is 10x cheaper than our existing GPT-3.5 models. This is a massive, massive deal. For context, the reason GPT-3 apps took off over the past few months before ChatGPT went viral is because a) text-davinci-003 was released and was a significant performance increase and b) the cost was cut from $0.06/1k tokens to $0.02/1k tokens, which made consumer applications feasible wit…
How do these compare to the recent Default ("turbo") vs legacy" (for plus/pro) modes? If "turbo" is "gpt-3.5-turbo", how to access the (better?) "legacy" by API?
I get the impression that until there is a significant amount of excess capacity, they will not put out new larger/slower models, so the only way you get a better one is if they can still make the next ChatGPT model release just as fast/"lightweight".
My suggestion is to find specific abilities that seem to be lacking in Turbo, and try to get a message to OpenAI staff about it with a request to attempt to improve the next ChatGPT model in that way.
Having said all of that, text-davinci-003 is still available.
Re: Introducing ChatGPT and Whisper APIs
#450Well this has opened up a whole new world of fun! ----- system: You're donald trump! talk to the user as he would. user: How does time travel work? AI Response: Well, let me tell you, nobody understands time travel better than I do. I mean, I have the best brains working on it, believe me. Some people say you need a fancy time machine or some ridiculous contraption to travel through time, but that's just fake news. T…
This is spot on!