@Mediagazer@mstdn.socialSources: CNN signed Abby Phillip to a new deal, locking in its primetime lineup with Anderson Cooper and Kaitlan Collins ahead of the Paramount deal (Brian Steinberg/Variety)
https://variety.com/2026/tv/news/cnn-prime-time-anchors-locked-paramount-1236836…
@fanf@mendeddrum.orgtrying to make a permalink to a particular line of code in NetBSD, and their CVS browser lacks per-line anchors, and they lack a Codeberg mirror
Microsoft Github seems to be so broken that line anchors don't work at all and interactive search sets a scroll position that's well over 100 lines wrong
oh well, cvsweb (with instructions to the reader) will have to do
@memeorandum@universeodon.comWhat's up with people who disapprove of Trump but won't vote for Democrats? (G. Elliott Morris/Strength In Numbers)
https://www.gelliottmorris.com/p/2026-07-13-lab-gop-anchors-generic-ballot
http://www.memeorandum.com/260713/p38#a260713p38
@Mediagazer@mstdn.socialFox News says Maria Bartiromo is no longer with Fox; Bartiromo's Mornings with Maria will be retitled Morning with Fox Business and employ a rotation of anchors (Brian Steinberg/Variety)
https://variety.com/2026/tv/news/maria-bartiromo-out-fox-news-…
@theodric@social.linux.pizzaIt's insane and ridiculous that Apple chargers implement grounding and then basically don't use it. That metal lug that the duckhead anchors to is a ground point. The cables use it to provide a ground, but the duckheads don't-- even the UK duckhead with a metal earth pin!
@arXiv_csGR_bot@mastoxiv.pagePacket-Loss Robust 3D Gaussian Compression via Atomic Packaging and GNN-based Error Concealment
Yuxuan Tao, Xuerui Ma, Hao Zhang, Chunhua Peng
https://arxiv.org/abs/2607.17916 https://arxiv.org/pdf/2607.17916 https://arxiv.org/html/2607.17916
arXiv:2607.17916v1 Announce Type: new
Abstract: 3D Gaussian Splatting (3DGS) and recent compression schemes such as HAC enable high-fidelity real-time neural rendering, but their bitstreams are fragile under packet loss during network streaming. Existing compression methods often separate correlated anchor attributes into independent streams, so losing one packet can create attribute-inconsistent broken anchors and severe rendering artifacts. We propose a packet-loss robust 3DGS transmission and error concealment framework. On the encoder side, anchor-level atomic packaging jointly encapsulates all attributes of each anchor, converting corrupted-attribute failures into clean missing-anchor erasures. Stratified random grouping further disperses packet losses across the spatial domain to avoid large contiguous voids. On the decoder side, we formulate recovery as prior-aware attribute inpainting. A Context-Aware Residual Interpolation (CARI) branch uses hash-grid prior predictions and neighboring residuals to build a robust baseline, while a lightweight two-layer graph neural network with cross-attention over hash-grid priors refines high-frequency attribute residuals. Attribute-wise confidence control falls back to interpolation when learned predictions are unreliable. Experiments under 20 percent random packet loss on BungeeNeRF, Mip-NeRF 360, and Tanks and Temples show that the proposed method substantially improves over no-concealment transmission and limits average PSNR degradation to about 3 dB relative to the lossless HAC reference.
toXiv_bot_toot
