361–370 of 696 posts
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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…
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.
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I scan the SD subreddit and am subscribed to 3 big ai art youtubes just to stay up to date. With things moving this fast, alot of info is out of date and can be very burdensome to comb through the good stuff later. I try and set aside 30mins twice a week to apply the new techniques to help cement them in my mind and see their strengths and weaknesses. ControlNET really changed the game and now OffsetNoise (check out…
What are the youtubers?
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Agriculture reduced the global human economy/resource production doubling time from 100,000s of years to 1000s of years. Industrial revolution dropped it from 1000s to 10s or even 1s. If AI follows the same path it becomes 0.1 - 0.01 years. Your 401k wouldn't need 40 years to build a comfortable retirement, only 4 weeks.
I just watched a video that convincingly showed that it is energy and energy alone that determines the production growth of humanity. Until the day AI can "generate" stuff (you know, something out of nothing) it can only at best streamline existing production, which is entirely capped by energy limits. We may drown in oceans of audio, video, novels, poems, films, porn, blue prints, chemical formulas, etc. dreamed up…
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if you hang out in reddit.com/r/stablediffusion you'll always be up to date
Thanks, what about broader news (GPT, Bing, Llama, etc)? The Stable Diffusion sub is only image AI oriented.
Honestly the "This happened in the last week" is more information than anybody can fully wrap their heads around, so you just have to surf the headlines and dig into the few things that interest you.
Speculation: GPT-turbo is a new chinchilla optimal model with the equivalent capabilities as GPT-3.5. So it's literally just smaller, faster and cheaper to run. The reason I don't think it's just loss-leading is that they made it faster too. That heavily implies a smaller model.
I think you mean GPT-4 since Chinchilla is a Deepmind project. But yes, I was also suspecting that also as it seems unlikely this was the full 175b parameter model with such big improvements in speed and price. In fact, given the pricing for OpenAI Foundry, that seems even more likely as this GPTTurbo model was listed along with two other models with much larger context windows of 8k and 32k tokens.
Chinchilla optimization is a technique which can be applied to existing models by anyone, including OpenAI. The chatGPT API is not based on GPT-4.
[0] https://techcrunch.com/2023/03/01/openai-launches-an-api-for...
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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..."
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Is there though? It's just a matter of swapping out $BASE_API_URL.
You have to rebuild all your prompts when switching providers.
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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..."
> 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…
This only a week or two after they were in the news for suggesting that we regulate the hardware required for running these models, in the name of "fighting misinformation". I think they're looking for anything possible to keep their position in the market. Because as other comments have pointed out, there isn't much of a moat.