Certainly the most surprising result in my career so far: a new qLDPC decoder that I thought had no chance to work!
We call it the Frontier decoder, joint work with Rüdiger Urbanke (1/4)
In academia, it's kind of common practice to know who works on what. Then you can decide whether you want to work on a very competitive question, or on something maybe harder, but without too much risk of getting scooped.
Now AI labs solve the big problems but won't even tell you
"I’m told that the AI companies, having been burned by the hostile response to the Navier-Stokes proof, are now sitting on solutions to some very major problems until they figure out a better way to handle things"
scottaaronson.blog/?p=10062
"I’m told that the AI companies, having been burned by the hostile response to the Navier-Stokes proof, are now sitting on solutions to some very major problems until they figure out a better way to handle things"
Serre explains the pleasure he takes when watching progress in math, not the pleasure of mathematicians when they find things out.
Wondering whether this is somehow about AI.