Cool idea. I didn't understand what causes the bad response on the first query. Does it mean the first response in every new conversation, or just the first served response after startup?
Am I missing something or the evals do not compare it to the baseline deepseek-v4-flash? Without a baseline comparison, it is hard to tell what works well and what doesn't
The content is unreadable. No comparison to the underlying model. Massive text expansion. Hard to tell if the numbers are real or entirely hallucinated SEO slop.
LinkedIn recently added a “seems like AI slop” button. I.e.: independent of downvoting/not interested/flagging as spam/ToS violation, you can say “this is AI slop”. Maybe we need something like it here
Shout-out to anthropic for having their models have such a strongly distinct writing style and personality that you can recognize their work instantly! It's quite nice to have such an immediate signal that if I were to proceed, I would spend orders of magnitude more time and effort reading the the text than the person claiming author credit spent writing or even reading it themselves.
I've been hearing forever that latent reasoning is the next step. But none of the frontier labs seem to incorporate it. Any idea why? It doesn't sound so technically challenging. Sure you loose some interpretability but surely everyone would sacrifice that for a step-up in quality. Or at least offer a latent-reasoning-version of the model.
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