@memeorandum@universeodon.comA record 63% of Americans disapprove of how Donald Trump is handling the economy (YouGov)
https://yougov.com/en-us/articles/54935-record-63-percent-americans-disapprove-donald-trump-handling-economy-june-5-8-2026-economist-yougov-poll
http://www.memeorandum.com/260609/p70#a260609p70
@cdarwin@c.imSince the age of the Gold Rush, California has lost approximately 60 percent of its coastal dunes
due primarily to human intervention;
By contrast, Santa Barbara County has lost only 10 percent.
That’s according to a recent study released by the UC Office of the President’s Climate Action Research Initiative with active engagement by nine UCSB researchers.
Statewide the expansion of urbanization and agriculture has gobbled up roughly 442 square kilometers of coastal…
@Dragofix@veganism.socialChemical accidents rise as Trump administration proposes weakening safety rules https://arstechnica.com/science/2026/07/chemical-accidents-rise-as-trump-administration-proposes-weakening-safety-rules/
@Techmeme@techhub.socialWordPress survey: 60% of US consumers say "AI" in a brand's messaging is a turnoff, 86% always or sometimes check the original source after seeing an AI summary (Sarah Perez/TechCrunch)
https://techcrunch.com/2026/06/16/sixt
@arXiv_astrophCO_bot@mastoxiv.pageCosmological constraints and standard sirens forecasts for non-dynamical dark energy in Horndeski gravity
Marcello Miranda, Ruchika, Ivan De Martino, Daniele Vernieri, Salvatore Capozziello
https://arxiv.org/abs/2608.04079 https://arxiv.org/pdf/2608.04079 https://arxiv.org/html/2608.04079
arXiv:2608.04079v1 Announce Type: new
Abstract: We investigate an analytically tractable sector of the Extended Cuscuton model, a non-dynamical dark-energy realization within the framework of viable Horndeski gravity. We focus on four benchmark submodels and constrain them with current background probes, namely cosmic chronometers, Type-Ia supernovae, and BAO, while imposing theoretical viability, Lunar Laser Ranging, and Big Bang Nucleosynthesis bounds. We then forecast third-generation bright-standard-siren constraints with Einstein Telescope and Cosmic Explorer networks, considering prompt-emission, afterglow, and kilonova counterparts. Current data already restrict the viable parameter space to small departures from $\Lambda$CDM and do not remove the calibration-driven offset between the CC SN and CC BAO determinations of $H_0$. In principle, future bright sirens substantially sharpen the constraints, especially for kilonova catalogues and extended detector networks. Across the forecast configurations, the relative uncertainty on $H_0$ remains below $13.18\%$ and can reach $0.21\%$ in the most constraining cases, while $\Omega_\Lambda$ is recovered at the percent level in the best cases. These results show that third-generation standard sirens can provide a precise complementary test of non-dynamical dark energy beyond $\Lambda$CDM.
toXiv_bot_toot
@cdarwin@c.imNew research out of Germany’s Karlsruhe Institute of Technology found that the types of Wi-Fi routers we all have in our homes
come with a major privacy vulnerability that can be used to identify any human body that comes within their range.
The study, flagged by Gizmodo, used machine learning systems to identify individuals with an accuracy rate of 99.5 percent.
To do so, the researchers exploited a vulnerability in a process known as beamforming feedback information (BFI),…
@Techmeme@techhub.socialWordPress survey: 60% of US consumers say "AI" in a brand's messaging is a turnoff, 86% always or sometimes check the original source after seeing an AI summary (Sarah Perez/TechCrunch)
https://techcrunch.com/2026/06/16/sixt
