When I find an interesting article/paper/etc I don't read it right away, I save it in a folder on my computer. Once I have enough, I run a small script to get it printed as a glossy magazine with an AI-designed cover (here's the latest) and read through everything at my leisure.

One minute clip from a short talk with Dr. Elan Barenholtz about how he uses AI in his work. Check out the full video here: www.danielvanzant.com/p/an-extra-c... . Also worth checking out an interview he did with Curt Jaimungal of Theories of Everything: curtjaimungal.substack.com/p/the-theory...

4/7 Breakthrough Incentive Markets create outcome pools for specific scientific problems. Investors buy positions, fund promising research, and earn returns when breakthroughs happen.

2/7 Science today is trapped: academic funding favors incremental progress over radical ideas, while industry only invests where profits exist. Critical research falls through this gap.

1/7 Have been trying to understand self-organizing map U-matrices recently. (Example image below of a U-matrix based on hyperdimensional pain data). I am using them to visualize text embedding space.

Made this table for a presentation. I would (and have) bet that this technology has strong potential to be the successor to CMOS in the next 10 years or so. Sources:
CMOS: ieeexplore.ieee.org/document/983...
Nanomagnetic QCA: doi.org/10.1126/scie...
Molecular QCA: arxiv.org/abs/1711.08153

This book is one of the reasons I am where I am today. I read it as a teenager, and I ended up falling in love with mathematics as a whole. Wonderful and accessible work on appreciating the beauty of pure mathematics.

Wild to see the Scaling Hypothesis (gwern.net/scaling-hypo...) mentioned all the way back in 1966. From "Speculations Concerning the First Ultraintelligent Machine" by IJ Good: doi.org/10.1016/S006...