Tootfinder

NGL, though, an ochre-red sun named Orkaria sounds as metal af. https://noc.social/@todayilearned/116163265485177012

Today I learned (@todayilearned@noc.social)
Attached: 1 image TIL that the exoplanet GJ 1214 b was originally thought to be the first ocean planet discovered, and was named "Enaiposha" after the Maa word for "large body of water"; however, observations in 2025 detected carbon dioxide in the planet's atmosphere, suggesting that it may instead be a Super-Venus https://en.wikipedia.org/wiki/GJ_1214_b?wprov=sfla1 #til #todayilearned https://www.reddit.com/r/todayilearned/comments/1rjf694/til_that_the_exoplanet_gj_1214_b_was_originally/

Esto es, para mi gusto, el peak de Shakira. Una época de música mucho mšs orgšnica, pop y actitud rockera. Me habría encantado que continuara en esa senda.
#Shakira #CD #NowPlaying

🇺🇦 #NowPlaying on BBCRadio3's #RoundMidnight
Orchard:
🎵 Fate
#Orchard
https://open.spotify.com/track/1HDbNyftxWBch1sGAptsw2

Wooooow. So much inside info on the trashing ESPN did of Dan Lebatard, his friends.
▶️ The Dan Le Batard Firing That Birthed Pablo Torre Finds Out | PTFO
https://youtube.com/watch?v=2Or8KRtytds&si=Ra5L90kO2_aPaEUz

Orgrimmar hits differently 10 minutes before Midnight
#WorldOfWarcraft #Midnight #Warcraft

#EverythingButTheGirl é uma banda fantšstica e muito subvalorizada, pouca gente conhece (por mais que até conheçam alguns sucessos mais dançantes como "Missing"). A melancolia das letras combina muito com a melodia e a voz dela.
htt…

🇺🇦 #NowPlaying on BBCRadio3's #RoundMidnight
Astrud Gilberto:
🎵 Agua de Beber
#AstrudGilberto
https://open.spotify.com/track/3QKJELWORZZ7rUZDWeMWSA

A fiatal németeknek megtiltottšk, hogy külön engedély nélkül elhagyjšk az orszšgot hosszabb időre A všltozšs a Katonai Szolgšlat Modernizšciós Törvény keretében gyakorlatilag észrevétlenül lépett hatšlyba, – írja a Berliner Zeitung.
http://cat.europe/

International Optical Clock Comparison Using the European Optical Fiber Network
Marco Pizzocaro, Clara Zyskind, Anne Amy-Klein, Erik Benkler, Sebastien Bize, Davide Calonico, Etienne Cantin, Christian Chardonnet, Cecilia Clivati, Stefano Condio, E. Anne Curtis, Simone Donadello, S\"oren D\"orscher, Chen-Hao Feng, Melina Filzinger, Jacques-Olivier Gaudron, Rachel M. Godun, Irene Goti, Ian R. Hill, Wei Huang, Nils Huntemann, Matthew Johnson, Joshua Klose, Jochen Kronj\"age…

Integrative neurocybernetic modeling in the era of large-scale neuroscience
Il Memming Park, Ayesha Vermani, Gonzalo G. de Polavieja, Juan \'Alvaro Gallego, Kathleen Esfahany, Shreya Saxena, Michael Orger, Auke Ijspeert, Matthew Dowling, Daniel McNamee, Srinivas C. Turaga, Zachary Mainen, Joseph J. Paton, Alfonso Renart
https://arxiv.org/abs/2604.23903 https://arxiv.org/pdf/2604.23903 https://arxiv.org/html/2604.23903
arXiv:2604.23903v1 Announce Type: new
Abstract: Large-scale neuroscience is generating rich datasets across animals, brain areas and behavioral contexts, yet our modeling efforts remains fragmented across isolated experiments. We argue that understanding behavior requires integrative neurocybernetic models: understandable dynamical models that capture the closed-loop coupling of brain, body and environment, treat the brain as a controller pursuing latent objectives, represent structured variation across scales, and scale to heterogeneous datasets. Such models shift the goal from predicting neural recordings in isolation to inferring the organizing principles that govern neural and behavioral dynamics. We outline a practical route toward this goal by combining nonlinear state-space models and meta-dynamical extensions with scalable inference, knowledge distillation, mixed open- and closed-loop training, and connectomics-informed architectures. By pooling complementary constraints from recordings, behavior, perturbations and anatomy, integrative neurocybernetic models can provide statistical amplification, few-shot generalization, and mechanistic insight into shared dynamical structure, individual variation, and the control objectives that govern behavior. This agenda offers a model-centric path from fragmented data to a mechanistic science of how brains produce behavior.
toXiv_bot_toot