Our response to the US ban on Fable 5 and Mythos 5
11–20 of 27 posts
Re: Our response to the US ban on Fable 5 and Mythos 5
#12At least, there'll be less slops on internet.
Re: Our response to the US ban on Fable 5 and Mythos 5
#13What if there's export control order for AWS services one day? Or cloud services in general?
Re: Our response to the US ban on Fable 5 and Mythos 5
#14Re: Our response to the US ban on Fable 5 and Mythos 5
#15Re: Our response to the US ban on Fable 5 and Mythos 5
#16What if there's export control order for AWS services one day? Or cloud services in general?
Re: Our response to the US ban on Fable 5 and Mythos 5
#17Re: Our response to the US ban on Fable 5 and Mythos 5
#18What if there's export control order for AWS services one day? Or cloud services in general?
Re: Our response to the US ban on Fable 5 and Mythos 5
#19Despite the fact that it was available only till 22nd June I largely call it a marketing stunt. But the fact that government took extreme measures to contain the danger that model violation exposes I think this move reflects towards more broader issue of accessibility. As of my knowledge not just US but major leading countries have been keeping knowledge classified. Major example is defence sector which heavily keeps…
When it took years and years of training to learn how to master something enough to use it with great impact, that effort was strongly correlated with the discipline and lifestyle to not misuse those abilities.
Completely gate-free LLMs would have very "useful" answers to a nutjob prompting "How do I cause as much destruction as possible with only what I can find at the hardware store" or similar. Sophisticated guards are still very hard to do to avoid giving a whole lot of power to someone not very friendly and not very disciplined.
Re: Our response to the US ban on Fable 5 and Mythos 5
#20Sounds nice except that these are 1 very small scale model, 1 reranker, and 1 embedding model that are far from frontier LLM level. And they're not open sourced. As much as I agree with the message, this reads like marketing copy trying to make a big deal out of a tiny model being hosted privately.
We've tried to take a first-principles approach to our end goal of 'legal superintelligence' that has involved identifying the areas of our domain most in need of improvement and releasing models that raise the bar on quality in those areas.
We've been around for a couple months now and ended up starting with retrieval and enrichment. The models we've released to tackle those problems have indeed been smaller in size than their competitors, yet they still rank ahead on open-source benchmarks.
Them being so small also helps with their accessibility — as I mention in our post, our models can be deployed on ordinary hardware, not a supercomputer.
Next on our roadmap is reasoning and research, which will require more infrastructure to support, but again, we aim to be judged by performance at the time of release.
> As much as I agree with the message, this reads like marketing copy trying to make a big deal out of a tiny model being hosted privately.
The point of this point is really just to reaffirm our commitment to sovereignty and accessibility and contrast our approach with that of major AI labs. It _is_ possible to commercialize LLMs while still keeping them accessible. A customer using a self-hosted deployment today does not need to worry about our models no longer being available tomorrow. We think that's a good thing. And moving forward, we want to keep that option available for anything we do, instead of trying to pull up the ladder while we're ahead.