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“Density, not reach” is such a good way to frame this.

It’s easy to think a bigger network means a broader network, but those are clearly not the same thing. Really interesting perspective.


Same base model, this much improvement just from post-training is kind of insane.

Really curious to see how GLM-5.3 performs on messy, real-world repositories once the weights are released


What I found interesting is how difficult “oldest” becomes to define once you look closely. Some places have very old buildings, others changed names or owners, and some even closed for a while before reopening.

It’s a nice example of how a simple historical ranking can turn into a question about what actually makes an institution the same institution over time.


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