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https://archive.org/details/0-kathara-pics-all-3814-pages/0KATHARA PICS ALL 3814 PAGES/page/n989/mode/2up

Briefly delighted to learn that one of the cable-laying vessels mentioned in this piece, was previously named "Clark Cable".
https://www.keystone-collective.org/greece-is-building-its-own-internet-turkey-would-like-a-word/

Greece Is Building Its Own Internet. Turkey Would Like a Word.
A NATO ally's warships have now challenged civilian cable ships working in Greek waters three times in eighteen months. Each incident, taken alone, could be a misunderstanding. Together, they look like a policy. There is a concept in international relations called the fait accompli, the established fact, the thing that

Spatio-Temporal Signatures of Intermittency in Helically Rotating Turbulence through Topological Data Analysis
Snigdhashree Mallick (International Institute of Information Technology, Bangalore, India), Yashwanth Ramamurthi (International Institute of Information Technology, Bangalore, India), Shiva Kumar Malapaka (International Institute of Information Technology, Bangalore, India), Amit Chattopadhyay (International Institute of Information Technology, Bangalore, India)
https://arxiv.org/abs/2605.17560 https://arxiv.org/pdf/2605.17560 https://arxiv.org/html/2605.17560
arXiv:2605.17560v1 Announce Type: new
Abstract: A central challenge in hydrodynamic turbulence is identifying precisely when, and at which length scales, strong turbulent fluctuations (STFs) emerge and develop into intermittent events, which are often obscured by conventional statistical diagnostics. We address this problem by applying a Topological Data Analysis (TDA) framework to reveal the spatiotemporal signatures of intermittency in low-resolution ($128^3$) helically rotating turbulent flows. Vorticity magnitude and length-scale (eddy size) fields are used as scalar observables for TDA: vorticity characterizes rotational dynamics that generate multiscale flow structures, while length-scale fields encode the scales at which intermittent activity arises. Their evolving topology is quantified using persistence diagrams and Wasserstein-distance metrics. Compared with traditional statistical approaches, this framework is more sensitive to localized and short-lived flow variations, enabling clearer detection of intermittent behavior. Pronounced variations in Wasserstein-distance heatmaps provide direct signatures of STFs across space and time. Together, these results demonstrate that TDA offers an effective complementary tool for detecting STFs that lead to intermittency within turbulent regime.
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On the Anticipation of #Lunar Travel in the Early 20th Century - A Pedagogical Exercise: https://arxiv.org/abs/2605.12582 -> "This article examines, from historical and pedagogical perspectives, Alphonse Berget's anticipation of Earth-Moon travel in Le Ciel (Larousse, 1923), decades before the beginning of the space age. [...] Unlike earlier fictional treatments such as Jules Verne's De la Terre a la Lune, Berget approached space travel using physical reasoning grounded in Newtonian gravitation. [...] His estimated Earth-Moon travel time of approximately 49 hours is of the same order of magnitude as Apollo mission transit times (approx. 72 h)."

Elon Musk says he spent time with Anthropic "to understand what they do to ensure Claude is good for humanity"; Musk called Anthropic "evil" and "misanthropic" (Lauren Goode/Wired)
https://www.wired.com/story/anthropic-spacex-compute-deal-col…

Anthropic Gets in Bed With SpaceX as the AI Race Turns Weird
In an unexpected turn, the two companies signed a deal for Anthropic to use computing resources from Elon Musk’s xAI.

Dynamic Evolution of Pore-scale Heterogeneity and Transport Conditions Control Mineral Dissolution Regimes
Jinlei Wang, Yongfei Yang, Martin J. Blunt, Branko Bijeljic
https://arxiv.org/abs/2605.18223 https://arxiv.org/pdf/2605.18223 https://arxiv.org/html/2605.18223
arXiv:2605.18223v1 Announce Type: new
Abstract: Mineral dissolution in porous media is classically partitioned into static regimes within the Pe-Da plane, but this framework fails to capture the dissolution behavior of structurally complex rocks. Using three-dimensional micro-continuum simulations on micro-CT images of three rock samples spanning a wide range of pore-space heterogeneity, we track the joint evolution of dissolution morphology, velocity distribution, and reaction rate. Our results reveal that initial flow heterogeneity controls accessibility of reactants, thereby controlling the dissolution regime,reshaping them as dynamic trajectories. Channeled dissolution emerges as a simultaneous reorganization of structure and flow, and the resulting permeability-porosity relationship cannot be captured by a single power-law. The effective power-law exponent increases with heterogeneity and changes over time, reaching a maximum of 9.8, 18.0, and 40.9 for the three samples. Consequently, the effective reaction rate falls one to three orders of magnitude below the uniform dissolution prediction, with the suppression scaling with flow heterogeneity due to mass transfer limitations in channeled dissolution.
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RE: https://im-in.space/@Chip_Unicorn/116478395569208852
Go Merzbow or go home. https://

so I used to sell themed magnetic poetry sets I made on my etsy but my shops been closed for a while, anyway I made a very basic internet version of my Glitch in the Matrix set that's live now.
doesn't work on mobile sry but ye
https://iantheonline.neocities.org/magnet…

SF-Flow: Sound field magnitude estimation via flow matching guided by sparse measurements
Ege Erdem, Shoichi Koyama, Tomohiko Nakamura, Orchisama Das, Zoran Cvetkovi\'c
https://arxiv.org/abs/2605.10398 https://arxiv.org/pdf/2605.10398 https://arxiv.org/html/2605.10398
arXiv:2605.10398v1 Announce Type: new
Abstract: Reconstructing a 3D sound field from sparse microphone measurements is a fundamental yet ill-posed problem, which we address through Acoustic Transfer Function (ATF) magnitude estimation. ATF magnitude encapsulates key perceptual and acoustic properties of a physical space with applications in room characterization and correction. Although recent generative paradigms such as Flow Matching (FM) have achieved state-of-the-art performance in speech and music generation, their potential in spatial audio remains underexplored. We propose a novel framework for 3D ATF magnitude reconstruction as a guided generation task, with a 3D U-Net conditioned by a permutation-invariant set encoder. This architecture enables reconstruction from an arbitrary number of sparse inputs while leveraging the stable and efficient training properties of FM. Experimental results demonstrate that SF-Flow achieves accurate reconstruction up to \SI{1}{kHz}, trains substantially faster than the autoencoder baseline, and improves significantly with dataset size.
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Newly discovered tetrataenite in Chang’E-6 lunar soil - a space weathering-induced magnetic carrier: #Change6 samples: https://www.eurekalert.org/news-releases/1121716