Today was the straw that broke the camel's back for me.

This morning Elon Musk tweeted that his pronouns were prosecute/Fauci.

You can’t study evolutionary biology under the roof of the Discovery Institute and you can’t have meaningful and productive scientific collaboration on a platform run by right-wing troll who denies science when its results are inconvenient to him and just simply to hear his audience cheer.

Learning without backpropagation is really taking off in 2022

First, @BAPearlmutter et al show in "Gradients without Backpropagation" that a single forward pass with perturbed weights is enough to compute unbiased estimate of gradients:
https://arxiv.org/abs/2202.08587

Then, Mengye Ren et al show in "Scaling Forward Gradient With Local Losses" that the variance of doing this is high, but can be reduced by doing activity perturbation (as in Fiete & Seung 2006), but more importantly, having many "local loss" functions:
https://arxiv.org/abs/2210.03310

Then Jeff Hinton takes the "local loss" to another level in "Forward-Forward Algorithm", and connects it to a ton of other ideas e.g. neuromorphic engineering, one shot learning, self supervised learning, ...: https://www.cs.toronto.edu/~hinton/FFA13.pdf

It looks like #MachineLearning and #Neuroscience are really converging.