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bbcc90

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bbcc90
·3 か月前·議論
For sure but most of that innovation pre-super shoes was optimizing the runner, not the shoes
bbcc90
·3 か月前·議論
I'm a runner, and it's a bit sad that distance running is not longer purely about the runner.

Based on the quote below, next thing we will see is a "constructors championship" similar to F1 for winning shoe constructor in the 'major' marathons :-(.

" This dominance continued in 2024, with adidas athletes wearing Adizero models winning six out of 12 World Major Marathons – more than any other brand."

and yes, of course i race in super shoes :-).
bbcc90
·3 か月前·議論
Yes good evals are really hard - that’s not really news.

This team is doing a good job. They use problems that were created in last 30days to avoid training set leakage. https://swe-rebench.com/
bbcc90
·6 か月前·議論
Sure, but did they have MCP?
bbcc90
·11 か月前·議論
it does work; just download from HF and load in the app
bbcc90
·昨年·議論
true. See here for a map: https://sfplanninggis.s3.amazonaws.com/hub/BIGmap.pdf

I live in the that space (between tower and the city) and the local neighbourhood group (HANC) is ridiculously NIMBY. rezoning is happening but it's slow going...
bbcc90
·昨年·議論
(trying to move the critique beyond the title...)

When trying to deploy llms in with larger context windows constrained environments 2 things start to hurt: a) increased memory footprint for longer KV cache b) increased decode speed due to longer context window. this paper addresses a) only, which is useful, but we are still left with b) (right?)
bbcc90
·2 年前·議論
This is a bug not a feature:

https://finance.yahoo.com/news/microsoft-stock-receives-rare...