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.
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.
There are some comments which are identical to comments on X as well. That is not the say the frontier labs do not engage in highly unethical marketing, but this is a little bit too obvious.
Neither is cost, and latency, in the long-term. LLMs ultimately become more economically viable than they are now, and broaden the scope of every existing LLM-driven application (particularly STS, conversational AI, etc, etc.)
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.
I am happy to answer any questions!
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.
I agree, it's a real architectural breakthrough if true
Whether this is real or not, multiple commenters here look like astroturfers - created in the past year (or hours) with very low karma
There are some comments which are identical to comments on X as well. That is not the say the frontier labs do not engage in highly unethical marketing, but this is a little bit too obvious.
This is pretty remarkable. We've spent a lot of time finding workarounds for LLMs reading long docs. Now that's gone.
Looks like long context isn’t a problem anymore
Neither is cost, and latency, in the long-term. LLMs ultimately become more economically viable than they are now, and broaden the scope of every existing LLM-driven application (particularly STS, conversational AI, etc, etc.)
if it's true then it's a breakthrough.
optimizing AI in general. How cool is that?
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