grrrrr...

Nicole Douglas Hofstadter wrote about his experience of running up against an “abstraction ceiling” in his own brain while pursuing a PhD in mathematics. As Hofstadter describes, the abstraction ceiling is not a “hard” threshold, a level at which one is suddenly incapable of learning

Legitimately, a math problem that might take you 10 years might take Terence Tao 10 seconds. But it's ok, there are billions of math problems, more than Tao can solve in a lifetime, so if you like math your job is just to find one Tao happens not to be interested in

We are probably 1 or 2 generations away from technological abundance where incentives for war will degrade towards 0. Let's try to keep balance, mutual respect and peace until then people.

Who is the most important catalyst for a European army creation? A. Russia on Ukraine B. USA on Greenland

The Milankovitch Cycles youtube.com/watch?v=iA788u…

Feeling nostalgic about the times where working towards mastery felt meaningful

Goethe was quite the genius.

Webcam captures elephant using a gentle backheel to the hind legs to persuade an impala to leave the waterhole

I would have thought that "reparatur" is a forbidden word in Germany

Most comments under this appear to interpret this as a data problem, but LeCun is actually asserting that the model architectures (e.g. VLAs) being used to try to solve generalized robotics won’t work Remember he left Meta to build a JEPA company (counter bet to status quo)

Η μάσκα rozziroomian.com

Some of the coldest life advice you’ll ever hear

Don't make rules, create incentives.

LOL looking at the way they wonder about consciousness is interesting. The fact that they are not sure if they have it probably is the decisive factor. If humans are sure of anything is that they are conscious.

This is spiralling fast and it's kind of hilarious 😂 That was 8 hours ago, now they are probably already far into the terminator designs. Rumors say that creators tried to plug them off but they have already bypassed the original systems

A podcast in ancient #greek (not for but in ancient greek) using the classical erasmian pronunciation. youtube.com/@ArgosDidaskei