It's extremly frustrating to read stories of sexual violence in (German) academia and peers supporting the perpetrator over and over again.
https://forbetterscience.com/2026/01/23/schneider-shorts-23-…
Pelosi spokesman sidesteps retirement rumors as Dem primary threats wait in wings (Elizabeth Elkind/Fox News)
https://www.foxnews.com/politics/pelosi-spokesman-sidesteps-retirement-rumors-dem-primary-threats-wait-wings
http://www.memeorandum.com/251103/p121#a251103p121
Das Wetter war wirklich ekelig, aber wenn mein Körper nicht damit beschäftigt ist, die Körpertemperatur runterzufahren, kann er die Energie ins Laufen stecken. Dürfte nur ein wenig trockener sein..
#RunnersofMastodon #WeltenkreuzerLäuft
The Pentagon used a secret aircraft
💥 painted to look like a civilian plane
in its first attack on a boat that the Trump administration said was smuggling drugs, killing 11 people last September,
according to officials briefed on the matter.
The aircraft also
💥carried its munitions inside the fuselage,
rather than visibly under its wings, they said.
⭐️The nonmilitary appearance is significant,
according to legal specialists,
👉because the …
Interesting. The right wing bots today are pushing “do something about mental illness” instead of “don’t take away my guns”.
Lines up with the rumors of MAHA “rehabilitation farms”
Manifolds and Modules: How Function Develops in a Neural Foundation Model
Johannes Bertram, Luciano Dyballa, T. Anderson Keller, Savik Kinger, Steven W. Zucker
https://arxiv.org/abs/2512.07869 https://arxiv.org/pdf/2512.07869 https://arxiv.org/html/2512.07869
arXiv:2512.07869v1 Announce Type: new
Abstract: Foundation models have shown remarkable success in fitting biological visual systems; however, their black-box nature inherently limits their utility for under- standing brain function. Here, we peek inside a SOTA foundation model of neural activity (Wang et al., 2025) as a physiologist might, characterizing each 'neuron' based on its temporal response properties to parametric stimuli. We analyze how different stimuli are represented in neural activity space by building decoding man- ifolds, and we analyze how different neurons are represented in stimulus-response space by building neural encoding manifolds. We find that the different processing stages of the model (i.e., the feedforward encoder, recurrent, and readout modules) each exhibit qualitatively different representational structures in these manifolds. The recurrent module shows a jump in capabilities over the encoder module by 'pushing apart' the representations of different temporal stimulus patterns; while the readout module achieves biological fidelity by using numerous specialized feature maps rather than biologically plausible mechanisms. Overall, we present this work as a study of the inner workings of a prominent neural foundation model, gaining insights into the biological relevance of its internals through the novel analysis of its neurons' joint temporal response patterns.
toXiv_bot_toot