[kshri24]

Agree with Karpathy's take. Finally a down to Earth analysis from a respected source in the AI space. I guess I'll be using slopocalypse a lot more now :)

> I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media

It has arrived. Github will be most affected thanks to git-terrorists at Apna College refusing to take down that stupid tutorial. IYKYK.

[ActorNightly]

The respect is unwarranted.

He ran Teslas ML division, but still doesnt know what a simple kalman filter is (in the sense where he claimed that lidar would be hard to integrate with cameras).

[akoboldfrying]

The Kalman filter examples I've seen always involve estimating a very simple quantity, like the location of a single 3D point, from noisy sensors. It's clear how multiple estimates can be combined into a new estimate.

I'd guess that cameras on a self-driving car are trying to estimate something much more complex, something like 3D surfaces labeled with categories ("person", "traffic light", etc.). It's not obvious to me how estimates of such things from multiple sensors and predictions can be sensibly and efficiently combined to produce a better estimate. For example, what if there is a near red object in front of a distant red background, so that the camera estimates just a single object, but the lidar sees two?