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@blakes7bot@mas.torpidity.net
2025-06-22 12:16:55

Series A, Episode 06 - Seek-Locate-Destroy
RONTANE: With respect, Supreme Commander, we are aware of the facts. They are simply that with all the resources that the Federation can call upon, this one vulnerable, lucky man is still free to cause havoc.
SERVALAN: You have some criticism of my handling of this matter, Secretary Rontane?

Claude Sonnet 4.0 describes the image as: "I can see this is a scene featuring a man in what appears to be a futuristic black and white uniform or outfit with a high collar. The setting has a distinctive geometric patterned ceiling or wall in the background, giving it a sci-fi institutional feel typical of the series' aesthetic. The lighting and production values are characteristic of British television from the late 1970s/early 1980s. The uniform suggests this character holds some kind of offi…

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

@kamasystems@social.linux.pizza
2025-08-21 16:16:36

Vilajuïga – Plaça Margineda
#kamafotos

Costa Brava - Vilajuïga – Plaça Margineda // tractor
@pbloem@sigmoid.social
2025-07-18 09:25:22

Now out in #TMLR:
🍇 GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks 🍇
There's lots of work on sampling subgraphs for GNNs, but relatively little on making this sampling process _adaptive_. That is, learning to select the data from the graph that is relevant for your task.
We introduce an RL-based and a GFLowNet-based sampler and show that the approach perf…

A diagram of the GRAPES pipeline. It shows a subgraph being sampled in two steps and being fed to a GNN, with a blue line showing the learning signal. The caption reads Figure 1: Overview of GRAPES. First, GRAPES processes a target node (green) by computing node inclusion probabilities on its 1-hop neighbors (shown by node color shade) with a sampling GNN. Given these probabilities, GRAPES samples k nodes. Then, GRAPES repeats this process over nodes in the 2-hop neighborhood. We pass the sampl…
A results table for node classification on heterophilious graphs. Table 2: F1-scores (%) for different sampling methods trained on heterophilous graphs for a batch size of 256, and a sample size of 256 per layer. We report the mean and standard deviation over 10 runs. The best values among the sampling baselines (all except GAS) are in bold, and the second best are underlined. MC stands for multi-class and ML stands for multi-label classification. OOM indicates out of memory.
Performance of samples vs sampling size showing that GRAPES generally performs well across sample sizes, while other samplers often show more variance across sample sizes. The caption reads Figure 4: Comparative analysis of classification accuracy across different sampling sizes for sampling baseline and GRAPES. We repeated each experiment five times: The shaded regions show the 95% confidence intervals.
A diagrammatic illustration of a graph classification task used in one of the theorems. The caption reads Figure 9: An example of a graph for Theorem 1 with eight nodes. Red edges belong to E1, features xi and labels yi are shown beside every node. For nodes v1 and v2 we show the edge e12 as an example. As shown, the label of each node is the second feature of its neighbor, where a red edge connects them. The edge homophily ratio is h=12/28 = 0.43.
@seav@en.osm.town
2025-07-18 20:12:03

There’s a new #OpenStreetMap website feature related to #Wikidata!
When viewing objects in OSM that have a Wikidata tag, you can now click the Wikidata icon to turn the opaque QID values into human-readable info (plus a link to Wikipedia if any).

Screenshot from the OpenStreetMap website showing the following tag table: addr:city = Las Pifias addr:housename = SM Southmall addr:street = Alabang-Zapote Road brand = Uniqlo brand:wikidata = Q26070 UNIQLO (Wikipedia) Japanese casual wear designer, manufacturer and retailer brand:wikipedia = en:Uniqlo level = 1 name = Uniqlo shop = clothes
Screenshot from the OpenStreetMap website showing the following tag table: addr:city = Manila addr:district = Intramuros addr:street = Padre Burgos Avenue artist:wikidata = Q94660322 Solomon Saprid Filipino sculptor artist_name = Solomon Saprid artwork_type = sculpture historic = memorial memorial = sculpture name = Gomburza tourism = artwork wikidata = Q105594630 Gomburza Monument monument and sculpture in honor of Gomburza wikimedia_commons = Category:Gomburza National Monument
@jaandrle@fosstodon.org
2025-09-17 12:04:40

Babiš a Fiala: v rozpočtové politice velký rozdíl nevidíme, říkají Klimeš a Kalíškovš | FILTR Specišl – Page Not Found - pagenotfound.cz/clanek/babis-a

Babiš a Fiala: v rozpočtové politice velký rozdíl nevidíme, říkají Klimeš a Kalíšková | FILTR Speciál – Page Not Found
Další díl FILTR Speciál se zaměřuje na ekonomiku České republiky a na to, co nás čeká v příštích letech. Hosty jsou Klára Kalíšková (ekonomka z VŠE a IDEA při CERGE-EI) a David Klimeš (ekonomický novinář, pořad Chyby systému). V rozhovoru s Apolenou Rychlíkovou se probírá nejen rozpočtová politika vlád Andreje Babiše a Petra Fialy, ale také dopady konsolidačního balíčku na domácnosti, genderové nerovnosti na trhu práce a zásadní výzvy, které přiná…

@underdarkGIS@fosstodon.org
2025-09-19 10:25:05

At the #SDSL dev day today, experimenting with #pyogrio to address #Trajectools issues. Thanks @…

Test using Arrow for QGIS to geopandas conversion
In an attempt to speed-up (and make the conversion more robust, eg regarding datetime/timezone conversion and null values (https://codeberg.org/movingpandas/trajectools/issues/93)), we can try to use Arrow. Since QGIS currently does not support exporting a layer to Arrow, here is a test workaroun...

@mszll@datasci.social
2025-09-16 18:19:03

The dimensions of accessibility: proximity, opportunities, values
arxiv.org/abs/2509.11875

The dimensions of accessibility: proximity, opportunities, values
Accessibility is essential for designing inclusive urban systems. However, the attempt to capture the complexity of accessibility in a single universal metric has often limited its effective use in design, measurement, and governance across various fields. Building on the work of Levinson and Wu, we emphasise that accessibility consists of several key dimensions. Specifically, we introduce a conceptual framework that defines accessibility through three main dimensions: Proximity (which pertains…

@midtsveen@social.linux.pizza
2025-09-11 20:02:13

Sometimes I lose followers, sometimes I gain new ones, that’s just part of staying true to my beliefs in anarcho-syndicalism, Linux, Free Software, Bandcamp, and the other things that matter to me.
I’m the happiest when I connect with like minded people who share these values and engage with today’s struggles in ways that resonate with what I believe in.

Person in a warm, furry hat and patterned jacket against a bold red and black anarchist background, conveying a cozy yet bold atmosphere.
A person with long hair embraces a moss-covered tree in a forest at sunset. The scene is serene, with warm light filtering through the trees.
A Linux terminal showing system details with a colorful ASCII logo on a dark background. The desktop has a minimalist, blue-themed interface.
@tml@urbanists.social
2025-07-05 19:01:08

Käytiin huomisen hääpäivän johdosta fine-dining-ravintolassa. Nolla, Fredrikinkadulla. Ihanaa ruokaa. Viiden ruokalajin maiskuttelu- eikun maistelumenu. Tähän mahtuu vain neljä kuvaa joten ensimmäinen jätetty pois.
restaurantnolla.com

Restaurant Nolla - Great food in hand with sustainability
We want to show that tasty and imaginative food can be produced based on sustainable development values, without producing waste.

@blakes7bot@mas.torpidity.net
2025-07-17 15:10:31

Series B, Episode 05 - Pressure Point
KASABI: Coordinates three three one, eleven zero one.
SERVALAN: That's better.
TRAVIS: Now, Kasabi, listen to this: was the homing beacon to transmit in a code pattern?
blake.torpidity.net/m/205/186 B7B4

Claude Sonnet 4.0 describes the image as: "I can see this is a science fiction production featuring a person in futuristic white costume and headwear. The image shows someone wearing what appears to be an elaborate white outfit with decorative elements and a distinctive white hat or headpiece. The setting appears to be a futuristic or sci-fi environment with clean, white/light colored surfaces. The costume design and production values suggest this is from a television series, likely from the la…