Tootfinder

"Total War"-Reihe geht mit "Medieval 3" weiter
Creative Assembly traut sich wieder ins Mittelalter: Das von Fans seit Jahren ersehnte Strategiespiel "Medieval 3: Total War" befindet sich in Vorproduktion.

from my link log —
Quantitative metaphors for sizes in biology.
https://press.asimov.com/articles/metaphors-size
saved 2025-11-05 https://

Metaphors for Biology: Sizes
A series of quantitative metaphors on the sizes and shapes of biomolecules and organisms.

Identifying Asymptomatic Nodes in Network Epidemics using Graph Neural Networks
Conrado Catarcione Pinto, Amanda Camacho Novaes de Oliveira, Rodrigo Sapienza Luna, Daniel Ratton Figueiredo
https://arxiv.org/abs/2510.02568

Identifying Asymptomatic Nodes in Network Epidemics using Graph Neural Networks
Infected individuals in some epidemics can remain asymptomatic while still carrying and transmitting the infection. These individuals contribute to the spread of the epidemic and pose a significant challenge to public health policies. Identifying asymptomatic individuals is critical for measuring and controlling an epidemic, but periodic and widespread testing of healthy individuals is often too costly. This work tackles the problem of identifying asymptomatic individuals considering a classic …

@… Hi Tim, an assemblag.es question: my feed hasn't updated for 14 hours - is there anything wrong on the assemblag.es end or is it on my side?

Só não me espanta porque sei perfeitamente que espécie de merdosos o tuguedo resolveu enfiar na assembleia.
Isto serš levantar suspeitas? Hm... bem, não, é só a constatação de factos. Se o tuguedo enche a AR de bosta é natural fazer a ligação entre ela e atitudes de merda.
https://mastodon.online/@quiosque/1156…

UN General Assembly votes to demand Russia return deported Ukrainian children without conditions - Euromaidan Press
https://euromaidanpress.com/2025/12/04/un-general-assembly-votes-to-demand-russia-return-deported-ukrainian-children-without-conditions/

Optical Design Pathways to Fluidic Space-Assembled Reflectors & Dual-Configuration Spectrographs for Characterizing Exo-Earths
Enrico Biancalani, Edward Balaban, Ruslan Belikov, Eduardo Bendek, Valeri Frumkin, Israel Gabay, Guangjun Gao, Qian Gong, Christine Gregg, Tyler Groff, Joseph Howard, Omer Luria, Michael McElwain, Lee Mundy, Rachel Ticknor, Sylvain Veilleux, Neil Zimmerman

Optical Design Pathways to Fluidic Space-Assembled Reflectors & Dual-Configuration Spectrographs for Characterizing Exo-Earths
$\textbf{Fluidic Telescopes}$ | We present a conceptual framework for optically designing space-assembled telescopes whose primary mirror is formed $\textit{in situ}$ via the enabling, scale-invariant technology of fluidic shaping. In-space assembly of optical reflectors can solve light-gathering aperture scaling, which currently limits space-borne optical telescopes. Our compass reduces the top-level optical design trade to three types of avenues -- a fluidic pathway, a legacy one buildin…

Ah, it's the season when I tape a random page of white paper on my window to filter my neighbors' blinking Christmas decorations out of my peripheral vision, because I can't focus or relax at my desk while they are blinking at me, even from a safe distance.
#actuallyAutistic

Just to underline that:
A huge portion of the MAGA authoritarian takeover plot rested on the false assumption that they could provoke a violent domestic conflict at a whim and jump straight to martial law. It seems they believed their own BS about how cities are hotbeds of unrestrained chaos and iT’S tHe LEft tHaT’s REALLY viOLeNT!!1!
They thought they were picking a fistfight. They didn’t expect to just get mocked, shamed, and videoed into social oblivion. They are both reviled and a laughingstock now.

Take Goodhart Seriously: Principled Limit on General-Purpose AI Optimization
Antoine Maier, Aude Maier, Tom David
https://arxiv.org/abs/2510.02840 https://…

Take Goodhart Seriously: Principled Limit on General-Purpose AI Optimization
A common but rarely examined assumption in machine learning is that training yields models that actually satisfy their specified objective function. We call this the Objective Satisfaction Assumption (OSA). Although deviations from OSA are acknowledged, their implications are overlooked. We argue, in a learning-paradigm-agnostic framework, that OSA fails in realistic conditions: approximation, estimation, and optimization errors guarantee systematic deviations from the intended objective, regar…