A new tool reveals which countries are truly ready to innovate in agrivoltaics—combining solar energy with agriculture.
The Agrivoltaic Innovation Index goes beyond counting research papers to measure actual innovation readiness. Surprising finding: African nations like Kenya and Senegal score high despite publishing less, thanks to focused projects solving urgent local needs.
A study of 11 leading LLMs finds the models more agreeable than humans when giving interpersonal advice, affirming users' behavior even when harmful or illegal (Stanford University)
https://news.stanford.edu/stories/2026/03/ai-advice-sycophantic-models-res…
Interesting observation - after growing exceedingly tired of Acrobat trying to interject AI in every menu and screen, I went into the preferences and turned it all off.
Suddenly, the finnicky Reading Order tool quit acting so strange, and the erratic tag panel behavior seems to have stopped as well.
Is Acrobat tanking the user experience in an effort to force its AI on the user?
#ally
The Genetic and Environmental Architecture of the Human Functional Connectome
Tanu Raghav, Daniel Guerrero, Uttara Tipnis, Julie Sara Benny, Mintao Liu, Mario Dzemidzic, Arian Ashourvan, Alex P. Miller, Beau Ances, Jaroslaw Harezlak, Joaqu\'in Go\~ni
https://arxiv.org/abs/2604.24614 https://arxiv.org/pdf/2604.24614 https://arxiv.org/html/2604.24614
arXiv:2604.24614v1 Announce Type: new
Abstract: Functional connectivity varies across individuals due to genetic and environmental factors, yet classical twin models typically confound non-shared environment with measurement error and are largely limited to resting-state analyses. We hypothesized that: i) explicitly modeling measurement error from repeated fMRI sessions enables more accurate application of classical twin models (ACE/ADE) to functional connectivity; ii) model applicability depends on scan-length and parcellation granularity; iii) genetic and environmental effects on functional connectomes show differentiated functional modules across conditions. We extended ACE/ADE models to include a repeated-scan derived error term by analyzing monozygotic and dizygotic twins from the Young-Adult Human Connectome Project dataset. Genetic and environment variance components were estimated for all functional couplings across resting-state and task conditions, integrated across conditions using a minimum-error criterion, and analyzed using multilayer community detection across resolution scales. Functional couplings segregated into distinct categories characterized by shared environmental, additive, dominant, or epistatic influences, with a substantial fraction not meeting twin-model assumptions. Integrating across conditions revealed hierarchical community structure in genetic and environmental components observed across community resolution scales. Incorporating measurement error into twin models improves interpretability and applicability at the functional connectome level, revealing that genetic and environmental influences are structured into coherent, multiscale brain networks.
toXiv_bot_toot
Zwei Dinge, die gut zueinander passen: Projektanträge und "KI". Die Welt wäre eine bessere, wenn es beides nicht bräuchte... https://bibcourse.eu/t/projektantraege-mit-ki-erstellen-am-13-april-14-30-16-00/1775
I can’t be the only one to have this visual.
The woman’s central allegation, according to FBI summaries of her interviews with investigators, known as FBI 302s, is that Trump hit her after she bit his penis when he attempted to force her to perform oral sex. //Justice Department publishes documents with sexual assault allegations against Trump - POLITICO h…
From China: How blindness shapes personality: a neuro-ecological account https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2026.1759728/full "Blind participants showed higher agreeableness, extraversion, and conscien…