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@blakes7bot@mas.torpidity.net
2026-01-04 10:20:45

Series B, Episode 10 - Voice from the Past
CALLY: Blake, listen to me.
BLAKE: [V.O.] Hurry down here and you'll see.
CALLY: Blake. Blake?
VILA: What now?
CALLY: Avon? Jenna?
[Asteroid]
blake.torpidity.net/m/210/338 B7B2

Claude Sonnet 3.7 describes the image as: "This image appears to be from a vintage science fiction television series, likely from the 1970s based on the styling and production design. The scene shows two individuals seated at what appears to be a control panel or console in a futuristic setting. 

The person on the left wears a gray outfit and has their hand to their head in what seems to be a gesture of concern or concentration. The individual on the right is dressed in a light-colored top wit…
@netzschleuder@social.skewed.de
2026-03-03 06:00:04

genetic_multiplex: Multiplex genetic interactions (2014)
Multiplex networks representing different types of genetic interactions, for different organisms. Layers represent (i) physical, (ii) association, (iii) co-localization, (iv) direct, and (v) suppressive, (vi) additive or synthetic genetic interaction. Edge direction (i,j) indicates gene i interacting with gene j.
This network has 3879 nodes and 8182 edges.
Tags: Biological, Gene regulation, Protein interactions, Unwei…

genetic_multiplex: Multiplex genetic interactions (2014). 3879 nodes, 8182 edges. https://networks.skewed.de/net/genetic_multiplex#Celegans
@tanyakaroli@expressional.social
2026-02-01 16:55:15

Gemalen er sŸd! Selvom det kun er mig der synes det er sjovt at se håndbold, har han sat projektoren op så vi kan se finalen sammen på det store lærred 🥰
(Jeg lover at kigge væk hvis vi er ved at tabe for mange bolde - I ved at de klarer sig bedst når jeg ikke ser med)
#håndbolddanmark

Stue med stort lærred sat op foran karnappen. Billedet viser opstart til håndboldfinale i EM 2026
@gardenscorpion@osna.social
2026-01-03 18:01:34

⚠️ UPDATE 19:42
Winterdienst hat die #Fahradstraße abgestreut 💪🏻 👍🏻
Gilt die folgende Beschlussvorlage - VO/2022/0939 auch für #Fahrradstraßen in #Osnabrück ?

Das Bild zeigt einen kleinen Schneemann auf einem Autodach im Vordergrund. Im Hintergrund sind Gebäude, Bäume und einige Personen zu sehen, die sich auf einer schneebedeckten Fläche aufhalten. Dazwischen verläuft eine Straße mit getautem Schnee und Schneematsch.


Kopieren
Das Bild zeigt eine Straße, die mit einer Mischung aus Eis und Schnee bedeckt ist. Im Hintergrund sind drei Autos zu sehen, die ebenfalls Spuren von Schnee tragen. Die Straße reflektiert das Licht, was auf glatte und potenziell gefährliche Bedingungen hindeutet. Reifenspuren im Schnee deuten darauf hin, dass Fahrzeuge kürzlich die Straße befahren haben.
@relcfp@mastodon.social
2026-01-02 16:05:40

JOURNAL> Journal of Chinese Buddhist Studies 38
ift.tt/vpBeLkd
Mining the Logs: Sources on Blue Humor URL …
via Input 4 RELCFP ift.tt/vMXlZkp<…

@arXiv_csOS_bot@mastoxiv.page
2026-02-04 07:41:57

ProphetKV: User-Query-Driven Selective Recomputation for Efficient KV Cache Reuse in Retrieval-Augmented Generation
Shihao Wang, Jiahao Chen, Yanqi Pan, Hao Huang, Yichen Hao, Xiangyu Zou, Wen Xia, Wentao Zhang, Haitao Wang, Junhong Li, Chongyang Qiu, Pengfei Wang
arxiv.org/abs/2602.02579 arxiv.org/pdf/2602.02579 arxiv.org/html/2602.02579
arXiv:2602.02579v1 Announce Type: new
Abstract: The prefill stage of long-context Retrieval-Augmented Generation (RAG) is severely bottlenecked by computational overhead. To mitigate this, recent methods assemble pre-calculated KV caches of retrieved RAG documents (by a user query) and reprocess selected tokens to recover cross-attention between these pre-calculated KV caches. However, we identify a fundamental "crowding-out effect" in current token selection criteria: globally salient but user-query-irrelevant tokens saturate the limited recomputation budget, displacing the tokens truly essential for answering the user query and degrading inference accuracy.
We propose ProphetKV, a user-query-driven KV Cache reuse method for RAG scenarios. ProphetKV dynamically prioritizes tokens based on their semantic relevance to the user query and employs a dual-stage recomputation pipeline to fuse layer-wise attention metrics into a high-utility set. By ensuring the recomputation budget is dedicated to bridging the informational gap between retrieved context and the user query, ProphetKV achieves high-fidelity attention recovery with minimal overhead. Our extensive evaluation results show that ProphetKV retains 96%-101% of full-prefill accuracy with only a 20% recomputation ratio, while achieving accuracy improvements of 8.8%-24.9% on RULER and 18.6%-50.9% on LongBench over the state-of-the-art approaches (e.g., CacheBlend, EPIC, and KVShare).
toXiv_bot_toot

@danyork@mastodon.social
2026-03-03 12:52:56

Today is #TownMeetingDay in #Vermont where we will all go and vote to elect our town leaders… we’ll also vote on school budgets and various things like buying school buses or fire trucks, preserving open land, putting money aside for future risks, etc. (In our town one of the items involves r…

@relcfp@mastodon.social
2026-02-02 16:10:49

Feb 5 - Kurtis Schaeffer on How to Live in Hard Times: Examples from Buddhist Lives
ift.tt/XYfzisG
Member book announcement: Slaymaker, _Wild Lines and Poetic Travels, a Keijiro Suga Reader_ …
via Input 4 RELCFP

@relcfp@mastodon.social
2026-02-03 16:31:06

PODCAST> New Episodes on Readings of the Gateless Barrier
ift.tt/INnsYed
Member book announcement: Slaymaker, _Wild Lines and Poetic Travels, a Keijiro Suga Reader_ …
via Input 4 RELCFP

@relcfp@mastodon.social
2026-01-01 06:10:20

JOURNAL> Journal of Chinese Buddhist Studies 38
ift.tt/GDj1J2P
Mining the Logs: Sources on Blue Humor URL …
via Input 4 RELCFP ift.tt/pscliGV<…