i'd be curious if openrouter is just being gamed by these publishers by paying for the exposure.

wouldn't trust they dont do Capitalism like the rest of the AI field.

I wrote about this a couple of weeks ago. It's actually often the biggest cost and it tends to be hidden away on most platforms!

https://martinalderson.com/posts/watch-out-for-cache-read-co...

Btw I still haven't came across any decent model that is <$0.01/MTok cache costs apart from deepseek thru their official API (even with the price increases).

Seems like a bit of an opportunity for someone to take - drop cache read costs significantly.

Which explains why almost none of my request go though

In my evals, I saw an unprecedented jump between preview and final release on Hy3, from unusable to competitive. Did you see similar in preview vs release version?

Noticed that as well

Probably AI generated.

But, what bars are clearly off? I couldn't spot any.

A spanish rock solved that problem for free.

For me personally, the answer is no. Fable is adequate to do basically anything I want to do. My perspective, broadly speaking, is that we've saturated most of the benchmarks because we've largely saturated our capacity to verify models' work at scale. What's left is context-bound verification, i.e. the problem of ensuring that output matches intent and ambiguities in prompting were resolved correctly. Further advances in autonomy do not make that latter verification problem easier. If anything they make it harder as the output per task becomes more complex and therefore more taxing for a human to verify.

The solution to that (to my mind) would be not a better model but a basic shift in architecture beyond the current paradigm and into a setup where agents have durable, plastic memories and undergo contextual individuation over time. But at that point agents start to become quasi-persons and not tools.

Hardware debugging and firmware details lead to thinking/testing loops on all but the frontier here.