I’m very surprised this isn’t getting more attention. Am I missing something?
It seems at or above SOTA on the given benchmarks, doesn’t have context rot, is orders of magnitude faster, and uses less compute that current transformer models. I suppose it’s just an announcement and we can’t test it ourselves yet.
We are SOTA in some ways and not in others, continuously working to make it better! We need a little more time to scale, as we are working on things like disaggregated prefill, etc., the norms of large-scale model infra.
This seems super cool if as described, but I'm sure you can understand the skepticism.
Do you anticipate having any kind of public accessible chat interface for testing in the near future?
Also, what, if any, benefits are there for smaller context windows? Is there still a material improvement in cost to serve under say 256k? I'm curious about the broader implications for the space beyond improvements for very large context windows.
I do, for sure! Yes, we have a few product rollouts lined up. The differentials for latency are posted in our blog post, so that should provide an idea of where the scaling law differentials kick in.
In this new knowledge economy, there is no benefit to publishing your secret sauce.
If I came up with a novel thing I'd monetise it first, because publishing it makes it part of the training that adds value to billion dollar corps with zero credit to me.
In the old knowledge economy I benefited from the credit assigned to me.
I'm not GP, but I would want a benchmark that actually tests the entire context window. A benchmark that only tests the first 128K tokens effectively tells us nothing about how well it works at its full capacity.
The proof is in the pudding. At this point, there have been plenty of models that overperformed on benchmarks and underperformed on real work. So my stance is that I'm curious, I'm excited to see where it goes, and I don't believe it until I can try it.
It seems at or above SOTA on the given benchmarks, doesn’t have context rot, is orders of magnitude faster, and uses less compute that current transformer models. I suppose it’s just an announcement and we can’t test it ourselves yet.