406 karma · joined May 26, 2022
Instead we've given 10m+ supercomputer hours in grants to all sorts of projects, now we have our grant team in place & there is a huge increase in available funding for folk that can actually build stuff we can tap into.
We now have top models of every type, sites like www.stableaudio.com, memberships, custom model deals etc so lots of demand
We're the only AI company that can make a model of any type for anyone from scratch & are the most liked / one of the most downloaded on HuggingFace (https://x.com/Jarvis_Data/status/1730394474285572148?s=20, https://x.com/EMostaque/status/1727055672057962634?s=20)
Its going ok, team working hard and shipping good models, the team are accelerating their work on building ComfyUI to bring it all together.
My favourite recent model was CheXagent, I think medical models should be open & will really save lives: https://x.com/Kseniase_/status/1754575702824038717?s=20
All the original Stable Diffusion researchers (Robin Rombach, Patrick Esser, Dominik Lorenz, Andreas Blattman) also work for Stability AI.
https://www.musicbusinessworldwide.com/stability-ai-launches...
Need to add more stuff to my Soundcloud https://on.soundcloud.com/XrqNb
Do try https://www.stableaudio.com for rights licensed model you can use commercially.
https://arxiv.org/abs/2402.04825
Which outperforms similar music models.
The pace is accelerating and even better ones are coming with far greater cohesion and... stuff. Will be quite the year for music.
Models are advancing very fast, will be quite the year for music.
Ed still likes Stability, especially as we fully trained stable audio on rights licensed data (bit different in audio to other media types), offer opt out of datasets etc.
H100s are less stable training though.
V5ps are about the same as intel gaudi2s and both are cheaper than h100s price/perf
Gaudi3s are 3-4x faster…
The base model of StableLM 3b zephyr is actually under an even more permissive license (we didn't change in retrospect) and is the best base to train on for MacBooks with 8gb RAM, edge devices etc.
With LLM Farm quantised you can run it faster than you can read on a iPhone or whatever.
https://huggingface.co/stabilityai/stablelm-3b-4e1t
It's also one of the only models with fully dataset, training and other transparency: https://stability.wandb.io/stability-llm/stable-lm/reports/S...
Plus licensed variant models like stable audio and on chip installation like arm for specialist models eg Japanese law or Indonesian accounting
We have been working on ComfyUI for the next step and new image models
Midjourney and others are pipelines versus models so we have a higher bar to jump but the og stable diffusion team are working hard!
Sure these will continue to improve, phi2 is a good base as well
These go on bedrock, on chip, on prem etc and our consulting partners take them to the end user.
On the innovation side stable diffusion turbo does like 100 cats with hats per second and the video model outperforms runway, pika etc on blind tests.
Stable audio was one of the time innovation of the year winners on music and we released a sota 3d model.
Stable LM zephyr is the best 3b chat model works great on a MacBook Air.
Most of the pixels in the world will be generated so fast high quality image/video are the core and these other models are to support them.
It’s really hard to build good solid models and we are the only company that can build a model of any type for anyone.
On windows you can get it via lmstudio.ai for example
Here is ur running on a MacBook M2 Air, we have smaller, more performant models coming
AGI is a bit of a canard imo, its not really actionable on a business sense.
Like it takes time to make lots of money and it’s really hard to build state of the art models.
Reality is this market is huge and growing massively as it is so much more efficient to use these models than many (but not all) tasks.
At stability I told team to focus on shipping models as next year is the year for generative media where we are the leader as language models go to the edge.
https://sifted.eu/articles/ai-startup-aleph-alpha-raises-500...
It's like 1.6gb, ones coming are better and smaller https://x.com/EMostaque/status/1732912442282312099?s=20
I think the large language model paradigm is pretty much done as we move to satisficing tbh