Well RIP Stability AI. I love their models and I love how they have changed the entire open source AI ecosystem for the better, but the writing was always on the wall for them given how unprofitable they are. I don't think much of the AI startup scene or socials groups like e/acc would have existed if it weren't for the tech that they just gave away for free. Its interesting how Stability AI and their VC funding have…
I don't think it's that SD and LLMs are solutions looking for problems, it's that there are very clear problems to which they provide 90% of a solution and make it impossible to clear the last 10%. They're the new WYSIWYG/low-code. Everyone that doesn't fully understand the problem space thinks they're some ultimate solution that is going to revolutionise everything. People that do are responding with a resounding 'm…
And even a lot of the hentai is fucking worthless for the same reasons! Try generating some kinbaku. It's really hard to get something where all the rope actually connects and interacts sensibly because it doesn't actually know what a knot is. Instead, you end up with M. C. Escher: Fetish Edition.
The NovelAI V3 model is really good at this, shibari and related stuff, it's a heavily finetuned SDXL model.
Midjourney is the most popular discord channel by far with 19.5M+ members, $200M in revenue in 2023 with 0 external investments and only 40 employees. The problem has nothing to do with commercializing image gen AI and all to do with Emad/Stability having seemingly 0 sensible business plans. Seriously this seemed to be the plan: Step 1: Release SD for free Step 2: ??? Step 3: Profit The vast majority of users couldn'…
>The vast majority of users couldn't be bothered to take the steps necessary to get it running locally so I don't even think the open sourcing philosophy would have been a serious hurdle to wider commercial adoption. The more I think about the AI space the more I realize that open sourcing large models is pointless now. Until you can reasonably buy a rig to run the model there is simply no point in doing this. It's n…
Disagree. A few weeks ago, I followed a step-by-step tutorial to diwnlad ollama, which in turn can download various models. On my not-soecisl laptop with a so-so graphics card, Mixtral runs just fine.
As models advance, they will become - not just larger - but also more efficient. Hardware advances. Large models will run just fine on affordable hardware in just a few years.
The released image generation models run on consumer GPUs. Even the big LLMs will run on a $3500 Mac with reasonable performance, and the CPU of a dirt cheap machine if you don't care about it being slow, which is sometimes important and sometimes isn't. Also, things like this are in the works: https://news.ycombinator.com/item?id=39794864 Which will put the system RAM of the new 24-channel PC servers in range of the…
The `big' AI models are trillion parameter models. The medium sized models like GPT3 and Grok are 185b and 314b respectively. There is no way for _anyone_ to run these on a sub $50k machine in 2024, and even if you can the token generation speed on CPU is under 0.1 tokens per second.
You can get registered DDR4 for ~$1/GB. A trillion parameter model in FP16 would need ~2TB. Servers that support that much are actually cheap (~$200), the main cost would be the ~$2000 in memory itself. That is going to be dog slow but you can certainly do it if you want to and it doesn't cost $50,000.
Maybe… he certainly was good at taking credit for it. Not course if they stepped in, rebranded something they didn’t make and threw a bunch of AwS GPUs they couldn’t actually afford at it though https://petapixel.com/2023/06/05/so-many-things-dont-add-up-...
So where can I download that thing he took credit for?
The `big' AI models are trillion parameter models. The medium sized models like GPT3 and Grok are 185b and 314b respectively. There is no way for _anyone_ to run these on a sub $50k machine in 2024, and even if you can the token generation speed on CPU is under 0.1 tokens per second.
ChatGPT is 20B according to Microsoft researchers, also the fact that big AI models are trillion parameter models is mostly speculation, about GPT-4 it was spread by geohot.
To be precise, ChatGPT 3.5 turbo being 20B is officially a mistake from a Microsoft Researcher, quoting a wrong source published before the release of chatgpt3.5 turbo. Up to you to believe it or not. But I wouldn’t claim it’s a 20B according to Microsoft Researchers.
Well RIP Stability AI. I love their models and I love how they have changed the entire open source AI ecosystem for the better, but the writing was always on the wall for them given how unprofitable they are. I don't think much of the AI startup scene or socials groups like e/acc would have existed if it weren't for the tech that they just gave away for free. Its interesting how Stability AI and their VC funding have…
Are you aware of smth called criminal code? This is one of the worst advices I've ever seen. Tricking people to obtain money? How's this not fraud?
I don't think it's that SD and LLMs are solutions looking for problems, it's that there are very clear problems to which they provide 90% of a solution and make it impossible to clear the last 10%. They're the new WYSIWYG/low-code. Everyone that doesn't fully understand the problem space thinks they're some ultimate solution that is going to revolutionise everything. People that do are responding with a resounding 'm…
Pretty much what happened with Speech Recognition for 30 years. That last 10% had to be handled manually. Even if you get 90% right, it still means ever second sentence has issues. And as things scale up the costs of all that manual behind the scenes hacking scale up too. We underestimated how many issues involved Ambiguity - where N people see the same thing and have N different interpretations. So you see a whole b…
We use Whisper for automatic translation, supposedly SotA, but we have to fix its output, I would say, very often. It repeats things, translates things for no reason, has trouble with numbers.. it's improved in leaps and bounds but I'd say that speech recognition doesn't seem to be there yet.
"AI"s are still pretty much vaporwares like 40 years ago. When people get tired of these toys, the bubble will simply burst, and nothing valuable left.
The underlying reason is that current AI businesses and models are failing to capture any significant economic value. We're going to get there, but it will take some more work. It won't be decades, but a few more years would be helpful
Midjourney is the most popular discord channel by far with 19.5M+ members, $200M in revenue in 2023 with 0 external investments and only 40 employees. The problem has nothing to do with commercializing image gen AI and all to do with Emad/Stability having seemingly 0 sensible business plans. Seriously this seemed to be the plan: Step 1: Release SD for free Step 2: ??? Step 3: Profit The vast majority of users couldn'…
Yes, and I'm grateful to them for sticking to that plan. :-)
But for the individuals involved, it might also be
Step 2: Leverage fame in AI space for massive VC injection on favorable terms.