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flow matching is making some strides right now, too

i don't buy this. distilled how? you don't get access to logprobs, and the thinking traces are fake and compressed. it's an expensive way to get potentially substandard training data.

nah, a crypto grifter released one with cooked benchmarks

better than Opus? not even close. after struggling thru server overload for the past couple hours i finally put 5.1 thru the paces and it's....okay. failed some simple stuff that Sonnet/Opus/Gemini didn't. failed it badly and repeatedly actually. this was in typescript, btw. not sure if i'll keep the subscription or not

after you go from from millions of params to billions+ models start to get weird (depending on training) just look at any number of interpretability research papers. Anthropic has some good ones.


> things start to get weird

> just look at research papers

You didn't add anything other than vibes either.


Interesting, what kind of weird?


Getting weird doesn’t mean calling it text prediction is actually ‘bullshit’? Text prediction isn’t pejorative…


what's with the weird "Geometric Lens routing" ?? sounds like a made up GPTism


Feels very pseudo academic.


ah, you've found the danger zone!


it's also a very common "favorite number" for them


working on a text game engine similar to Evennia: https://github.com/electroglyph/atheriz


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