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swalton.ai
Studying Computer Vision SHI Lab Ph.D. Candidate @ University of Oregon Visiting Scholar @ Georgia Tech Opinions expressed are that of my cat
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Academia: Forged by those who go against the grain Built to change the world But structured with the belief that paradigm shifts occur by following the current paradigm How many dark horses, how many idols, do we need before we stop making the shade that made them dark in the first place?

@wikipedia.org could you please set the "automatic" option as the default option? I fail to see the utility of its existence if this is not set as the default. I believe this can be resolved by replacing 'skin-theme-clientpref-day' with 'skin-theme-clientpref-os' for the default

I'm often baffled at how often we create extra unnecessary work. My department (CS) just sent me a "survey" to "apply" for TA positions. Most of the questions are like "what courses have you previously TA'd for" and were filled out on the previous survey... last term. Or "what academic year are you

I think a lot of these math benchmarks are absurd. It seems people are chasing the score without thinking about what we're actually trying to do. Not getting 100% on 3 digit times a 3 digit but getting a 6 digit x 4 digit should make us question everything. Something fundamental is wrong.

Reading rebuttals: Reviewer (not me): work is incremental Authors: thanks for the complement I gotta hand it to them. Respect

The Bitter Lesson of DeepSeek is that scaling isn't all you need Of course people have been screaming this for years and it's demonstrable, but now it's clear that no one can win the AI race by scale alone I've seen too many works get rejected with "just tune a large model, why train from scratch"