Earlier quoted context omitted.
Hopefully so, would really like to know what else is lost by nerfing potentially offensive responses. Can't imagine a project I'd rather work on. I think open-assistant.io has a chance to do exactly this. We'll see what kind of moves they make in coming months though, wouldn't be surprised if they go the safer route.
I do struggle with understanding why people think this is strangling the potential of GPT. Do you find yourself frustrated working with your colleagues, thinking, “you know, I bet if they felt more free to utter racist slurs or endorse illegal activities, we would get a ton more done around here”?
Introducing ChatGPT and Whisper APIs
131–140 of 696 posts
Re: Introducing ChatGPT and Whisper APIs
#132Earlier quoted context omitted.
Bound to happen, so establish yourself as deeply as possible as quickly as possible. Once folks are hooked up to these APIs, there's a cost and friction to switching. This just feels like a land grab that OpenAI is trying to take advantage of by moving quickly.
Thee would be less friction to switch if the implementations (which are early enough) accounted for sending requests to multiple service providers including ones that don't exist yet. OpenAI has a view few do - how broadly this type of product is actually being used. This is possibly the real lead to not just getting ahead, and staying ahead, but seeing ahead.
Re: Introducing ChatGPT and Whisper APIs
#133Re: Introducing ChatGPT and Whisper APIs
#134Earlier quoted context omitted.
You split up the audio and send it over in a loop. Pass in the transcript of the last call as the prompt for the next one. See item 2 here: https://platform.openai.com/docs/guides/speech-to-text/promp...
And: > we suggest that you avoid breaking the audio up mid-sentence as this may cause some context to be lost. That's really easy to put in a document, much harder to do in practice. Granted, it might not matter much in the real world, not sure yet. Still, this will require more hand holding than I'd like.
It's not absolutely perfect, but splitting on the word boundary is one line of code with the same package in their docs: https://github.com/jiaaro/pydub/blob/master/API.markdown#sil...
25MB is also a lot. That's 30 minutes to an hour on MP3 at reasonable compression. A 2 hour movie would have three splits.
Re: Introducing ChatGPT and Whisper APIs
#135Re: Introducing ChatGPT and Whisper APIs
#136> 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…
> I have no idea how OpenAI can make money on this. This has to be a loss-leader to lock out competitors before they even get off the ground. The worst thing that can happen to OpenAI+ChatGPT right now is what happened to DallE 2, a competitor comes up with an alternative (even worse if it's free/open like Stable Diffusion) and completely undercuts them. Especially with Meta's new Llama models outperforming GPT-3, it…
Do you have access to the models? It is being discussed all over the Discords and most seem to think getting access is not happening unless you are dialed in.
Re: Introducing ChatGPT and Whisper APIs
#137I am scared for all people working service jobs.
Re: Introducing ChatGPT and Whisper APIs
#138> 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…
> 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.…
Re: Introducing ChatGPT and Whisper APIs
#139I can't seem to find it mentioned but is there an unrestricted/uncensored mode for this? I'd love to have some fun with a few friends and hook it up in a matrix room for us
Re: Introducing ChatGPT and Whisper APIs
#140Earlier quoted context omitted.
I thought it was Midjourney who stole their thunder. Stable Diffusion is free but it's much harder to get good results with it. Midjourney on the other hand spits out art with a very satisfying style.
You are like 2 months out of date. Stable diffusion now has a massive ecosystem around it (civitai/automatic1111), that when used well, completely crushes any competitors in terms of the images it produces. Midjourney is still competitive, but mostly because its easier to use. Dalle2 will get you laughed out of the room in any ai art discussion.
So, the field is so immature than things change completely every few months?