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Jon Barron

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@jon_barron

Principal research scientist at Google DeepMind. Synthesized views are my own.
SF Bay Area jonbarron.info Joined May 2010
1.4K Following 39K Followers 3.2K Posts

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Jon Barron Verified account @jon_barron
Hi all, I have a new result I'm excited to share. It turns out that *all existing implementations* of softmax and cross-entropy (that's JAX, PyTorch, textbooks, etc) have a subtle bug --- two bugs, actually. A simple rewrite fixes both, and eliminates "slingshots" when grokking:
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Jon Barron Verified account @jon_barron
nerf is back! All we needed was a few million tokens of AGI to speed things up by 10x. We're not there yet but I bet in the limit real-time view synthesis with an optimized nerf-like raytracing scheme will be competitive with our usual sparse rasterized graphics primitives.
Ever since Thomas’ JIT-fusion update for Instant-NGP, I was wondering how fast a fully fused Zip-NeRF could be. Finally gave it a shot with Opus:
36 min training, 300 ms per megapixel on a 5090, same quality as the official code (~6-7x/10x faster).

Code: github.com/fhahlbohm/fuse…
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Jon Barron Verified account @jon_barron
quickly! digest Brandon's paper now before he and argon solve navier stokes sometime late next week
Brandon Zhao Verified account @joiedeposter Oct 20
Introducing beignet, a new neural field architecture!

beignet uses a multiresolution fourier frequency pyramid to achieve faster convergence and higher precision when solving PDEs and finding singularities.

Teaser: here is beignet at work fitting an image (super fast)!
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Jon Barron Verified account @jon_barron
I was vibing with Gemini 4 Argon about Jewish mysticism and Platonic solids as one does, and asked it to improve the state of the art in Sacred Geometry. I think it worked?

Behold: *Gemitron's Cube* (ala Metatron's cube), shown at the angles that Gemini was most proud of.
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