@netzschleuder@social.skewed.degame_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted
@netzschleuder@social.skewed.demarvel_partnerships: Marvel character partnerships (2018)
A network of partnerships among characters in the Marvel comic book universe. Nodes are either heroes or villains, and edges represent partnerships between such characters. The partnership network was extracted from Wikipedia pages of these characters, which indicate partnership relations with other such pages.
This network has 350 nodes and 346 edges.
Tags: Social, Fictional, Unweighted
@tiotasram@kolektiva.socialJust finished "Orsinian Tales" by Ursula K Le Guin. It's... good, but not nearly as anarchist as a lot of her other work. These are short fiction stories weaving mostly through a fictional Eastern European country during the cold war, although some stretch farther back into history.
As typical for Le Guin a bunch of male protagonists, and a few parts that might seem to excuse sexual assault, which I've always found an odd thing in Le Guin's work (the rape in "The Dispossessed" bothered me too; the lack of strong female characters in "A Wizard of Earthsea" also sticks out to me). On the other hand, I've read from an interview that she wrote "Earthsea" absolutely knowing her audience (teenage boys) and intentionally writing something that would sell, which speaks to true mastery of her craft (I think the opening of "The Word for World is Forest" demonstrates what an expert can do wielding an intimate understanding of pulp science fiction tropes with intent, for example).
In any case, she writes sublime similes and sparse characters who nevertheless seem to embody deep wisdom about the human condition. I feel that often enough just a few words or sentences in a story bear forth hefty wisdom while around them Le Guin constructs something like an austere painting in muted tones, full of rich details that one can easily miss.
#AmReading #ReadingNow
@netzschleuder@social.skewed.demarvel_partnerships: Marvel character partnerships (2018)
A network of partnerships among characters in the Marvel comic book universe. Nodes are either heroes or villains, and edges represent partnerships between such characters. The partnership network was extracted from Wikipedia pages of these characters, which indicate partnership relations with other such pages.
This network has 350 nodes and 346 edges.
Tags: Social, Fictional, Unweighted
@memeorandum@universeodon.comTrump's Cabinet of main characters (Axios)
https://www.axios.com/2025/12/27/trump-cabinet-patel-hegseth-noem-cosplay
http://www.memeorandum.com/251227/p23#a251227p23
@blakes7bot@mas.torpidity.net#Blakes7 Series D, Episode 02 - Power
KATE: Stop it, Pella! [Kate rushes at Pella, who shoots her dead. Pella enters the launch silo and the door closes before the others can rush in. Avon takes the crystal from Kate's neckband.]
[Inside silo. The Scorpio's turntable begins to turn and rise.]
@midtsveen@social.linux.pizza:bisexual_pride: 🏳️⚧️ :genderfluid_flag: :nonbinary_flag: :heart_trans: 🏳️🌈
#TransRights #TransRightsAreHumanRights #Trans
@jtk@infosec.exchangeNot really newsworthy, but this announcement from Leaseweb feels a bit 20th century:
[...] an upcoming update to the Customer Portal Secret Management page. We have introduced a new feature that restricts the use of certain special characters in key names for improved security.
Allowed special characters: ,_ . / - ? & =
(Alphanumeric characters remain fully supported.)
Examples:
* Allowed: Key&123
* Not allowed: Key@123
* Not allowed: Key#123
@Techmeme@techhub.socialGoogle has removed dozens of AI videos from YouTube that depicted Disney characters, after Disney sent a cease-and-desist letter flagging the links (Gene Maddaus/Variety)
https://variety.com/2025/film/news/google-removes-ai-videos-disney…
@ELLIOTTCABLE@functional.cafeone of my stupider pet-peeves:
"what's the meta"
not all strategy is *meta-game* strategy. "the meta" is only *possible* in a multiplayer game, where the balance of the characters is being continuously tweaked by upstream developers.
Choosing a tool just because it's known to be strong: *strategy*. that's strategy. you're describing *fucking strategy*. not meta-strategy.
Choosing a tool because *other players are known to be choosin…
@blakes7bot@mas.torpidity.netSeries A, Episode 10 - Breakdown
AVON: You CANNOT reject a direct command.
BLAKE: Justify that rejection, please.
ZEN: Your command reduces to an order to self-destruct. This runs counter to Prime Directive.
https://blake.torpidity.net/m/110/146 B7B4
@pkraus@berlin.socialMan, #Netflix writers really like to have their characters stand around and preach. #theresidence #strangerthings
@Mediagazer@mstdn.socialBloomberg Media says it has added 100K subscribers over the past year and is nearing 700K paying readers and viewers, and reports revenue up 7% YoY in 2025 (Dominic Ponsford/Press Gazette)
https://pressgazette.co.uk/press-gazet
@netzschleuder@social.skewed.delesmis: Les Misérables coappearances
The network of scene coappearances of characters in Victor Hugo's novel "Les Miserables". Edge weights denote the number of such occurrences.
This network has 77 nodes and 254 edges.
Tags: Social, Fictional, Weighted
https://networks.skewed.de/net/lesmis
@cheryanne@aus.socialThe Flyfisher's Podcast
We hope to inspire, educate, and entertain as we chat with characters that froth on flyfishing as much as we do...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/flyfishers-podcast/
@matzekult@chaos.socialThere are a lot of charismatic characters in #StarTrek. And a very special one was the reason for a fateful decision; which we'll look at for today's #TrekTriviaTuesday question.
As always no googling and no spoiling the answer for others. Please boost after voting! :BoostOK:
@june_thalia_michael@literatur.social#EroticMusings 26: How is masculinity visually expressed, highlighted, or accessorised in your work or setting?
My current roster of main characters are three cis lesbians (I plan to un-cis one of those in later books, though) and Erytan society has no other visible gender marker beyond "self-declaration".
Book three even makes the conscious decision of depiction tran…
@veit@mastodon.socialI took a look at the changes coming with Python 3.15 – and I can't wait to put them to productive use. I've already updated our tutorials:
• utf-8 as the default encoding: https://python-basics-tutorial.readthedocs.io/en/latest/ty…
@netzschleuder@social.skewed.demarvel_universe: Marvel Universe social network
The Marvel Universe collaboration network, where two Marvel characters are considered linked if they jointly appear in the same Marvel comic book.
This network has 19428 nodes and 95497 edges.
Tags: Social, Fictional, Unweighted
https://networks.skewed.de/ne…
@jake4480@c.im'Tarik - A Golden Axe Story' is being ported/worked on for the Atari 2600 - it's a WIP. Here's POC and the latest version: https://forums.atariage.com/topic/369085-tarik-a-golden-axe-story-great-update-2025
@michabbb@social.vivaldi.net• #Mistral Small 3.2: 99.3% defect reduction (98.8% − 99.99%)
• Ministral 3B: 100% defect reduction − perfect 100% validity
🛠️ Common issues fixed automatically: trailing commas after last element, unescaped control characters in strings, missing closing brackets, various syntax errors that break JSON parsers, prefixed text like "Here's the data you requested:"
…
@stefan@gardenstate.socialDisney's Living Characters: A Broken Promise by Defunctland
#disney
@simon_brooke@mastodon.scotFrom the very beginning of computer games, developing a satisfactory mechanic for shooting and killing non-player characters was easy. It's much more sophisticated now, but it's still relatively easy. Developing command and control mechanics was relatively easy.
Developing mechanisms to interact positively with non-player characters, to have rich conversations, true co-operation, has been much harder, and still is.
Continued >>>
@GroupNebula563@mastodon.social🚨 NEW STRONG BAD EMAIL. NEW STRONG BAD EMAIL. THIS IS NOT A DRILL. PLEASE PROCEED TO HOMESTARRUNNER.COM IN A CALM AND ORGANIZED FASHION. I REPEAT: THIS IS NOT A DRILL 🚨
https://www.homestarrunner.com/sbemails/210-robots
And now, some taggin (for visibility)
@sauer_lauwarm@mastodon.socialThe topic has also highlighted the rise of “fictosexuality” and fan culture in Japan, where many young people form strong emotional connections with fictional characters.
@leftsidestory@mstdn.socialMoody Urbanity - Past 📴
情绪化城市 - 过去 📴
📷 Zeiss Ikon Super Ikonta 533/16
🎞️ Ilford HP5, expired 1993
#filmphotography #Photography #blackandwhite
@grahamperrin@bsd.cafe@… is this OK?
Brut33-eighteen-characters
@netzschleuder@social.skewed.demarvel_universe: Marvel Universe social network
The Marvel Universe collaboration network, where two Marvel characters are considered linked if they jointly appear in the same Marvel comic book.
This network has 19428 nodes and 95497 edges.
Tags: Social, Fictional, Unweighted
https://networks.skewed.de/ne…
@Techmeme@techhub.socialSources: OpenAI is developing AI tools to generate music from text and audio prompts, including capabilities such as adding guitar accompaniment to vocal tracks (The Information)
https://www.theinformation.com/articles/openai-plots-gene…
@andres4ny@social.ridetrans.itI generally try not to boost AI slop, but that $20 bill one genuinely fooled me (because it had actual real text, not weird nonsense characters). Also, it was well done and actually funny, so I'm going to let it slide for now.
@arXiv_mathGR_bot@mastoxiv.pageKernels of Brauer characters and Isaacs' partial characters
Mark L. Lewis
https://arxiv.org/abs/2510.11655 https://arxiv.org/pdf/2510.11655
@emd@cosocial.caIf you want to understand Musk, give this a listen. Great podcast limited series from the CBC: https://www.cbc.ca/listen/cbc-podcasts/1353-the-naked-emperor
@stargazer@woof.tech#WritersCoffeeClub Nov
16. How much work goes into naming your characters?
17. What rôle does race play in your work?
---
16. Much. It's part of the research, and I love my research.
Generators are a good starting point but I always polish and iterate on it to ensure it fits my vision. I like to sift through old dictionaries (as in Arabic, Ye Olde English/Welsh/S…
@jackie@social.linux.pizzathe "woke games detector"'s ULTRAKILL problem: there are some games they don't like just because the developer is vaguely progressive and the fandom is largely queer and makes a lot gay fanart of the characters but they have to come up with some 4d chess problem with the game itself
like ah yes the game about robot killing demons in hell and extracting their blood is woke because there's a blahaj easter egg and not because there's shitload of V1 x Gabriel yao…
@netzschleuder@social.skewed.demoviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 56 nodes and 160 edges.
Tags: Social, Fictional, Weighted
@Mediagazer@mstdn.socialGoogle has removed dozens of AI videos from YouTube that depicted Disney characters, after Disney sent a cease-and-desist letter flagging the links (Gene Maddaus/Variety)
https://variety.com/2025/film/news/google-removes-ai-videos-disney…
@mela@zusammenkunft.netMage Session 1:
Three mages enter the apartment of a missing person that increasingly looks like a crime scene. One of the characters is a private investigator, one an Etherite maker, the third a VA college student.
Investigator: »When we enter the apartment, DON'T touch anything. If you absolutely need to, I have a spare pair of gloves.«
*Group is entering the apartment*
The apartment is very messy. There is food left out on the counter for the last two days.
@mlawton@mstdn.socialFinished "The Collected Regrets of Clover" by Mikki Brammer. Clover is a death doula, who avoids most human social connections for fear of rejection, the residual trauma of her childhood.
You make allowances for characters you can't relate to, but this book was a bowl of sugary cereal w/ extra teaspoons of sugar poured on top. Predictable & ridiculous. The characters all one-dimensional stereotypes.
Most people really liked it. I didn't.
2/5 stars ⭐ ⭐ …
@blakes7bot@mas.torpidity.netSeries C, Episode 13 - Terminal
ZEN: The information you require has been stored via a coded route, and retrieval is not possible without the correct security command sequence.
CALLY: And that sequence is known only to Avon, I imagine.
ZEN: Confirmed.
https://blake.torpidity.net/m/313/100
@unixorn@hachyderm.ioWhen I try to change my password, if you block paste I don't feel more secure, I wonder what other incompetence is hiding in your site's software stack.
And if you aren't letting me paste, _and_ you want annoying bullshit in my password, at least let give me a button to let me see what the fuck I am typing.
Having a password length limit, especially one as low as 15 characters, just makes me think you're doing something fundamentally wrong like storing passwords in clear text and confirms my opinion that there's a ton of other incompetence in your software stack.
This all came up when I was trying to add the mysubaru app on my wife's phone.
And a HUGE fuck you for claiming I had the wrong password when I tried to log in with the one in my password manager, but when I did a password reset, not letting me use the one from my password manager because "You can't change it to your current password."
@Techmeme@techhub.social
@castarco@hachyderm.ioI have the distinct impression that we could use most American "sci-fi" TV series (which seem to have a kink for post-apocalyptical scenographies) as a diagnostic tool for the autism spectrum.
For a moment, let's leave aside the tons of right-wing propaganda "hidden" in plain sight, and their excessive reliance on boring & worn out tropes (religious & cultish bullshit, irrational lack of communication & excess of anti-social behaviour, all vs all, ultra-low-iq characters*, psychotic & irrationally treacherous characters*, ultra-inconsistent character development used to justify "unexpected" plot twists, rampant anti-intellectualism...).
What could be used as a diagnosis tool is the incredible amount of strong inconsistencies that we can find in them**. It throws me out of the story every single time; and I suspect that it takes a certain kind of "uncommon personality" to feel that way about it, because otherwise these series wouldn't be so popular without real widespread criticism beyond cliches like "too slow", "it loses steam towards the end of the season", etc.
Many of those plots start in a gold mine of potentially powerful ideas... yet they consistently provide us with dirt & clay instead, while side-lining the "good stuff" as if it was too complicated for the populace.
Do you feel strongly about it? Do you feel like you can't verbalize it without being criticised as "too negative", or "too picky", or an "unbearable snob"? Do you wonder why it seems like nobody around shares your discomfort with these stories?
* : I feel this is a bit like the chicken & egg problem. Has the media conditioned part of American society to behave like dumb psychopaths as if it was something "natural", or is the media reflecting what was already there? Also, could we use other societies as models for these stories... just for a change? Please?
** : Just a tiny example: a "brilliant" engineer who builds a bridge out of fence parts and who doesn't bother to perform the most basic tests before trying it in a real setting and suffer the consequences: the bridge failing and her falling into the void. Bonus points for anyone who knows what I'm talking about.
@arXiv_physicsoptics_bot@mastoxiv.pageTopological interface modes in aperiodic subwavelength resonator chains
Habib Ammari, Jiayu Qiu, Alexander Uhlmann
https://arxiv.org/abs/2511.18363 https://arxiv.org/pdf/2511.18363 https://arxiv.org/html/2511.18363
arXiv:2511.18363v1 Announce Type: new
Abstract: We consider interface modes in block disordered subwavelength resonator chains in one dimension. Based on the capacitance operator formulation, which provides a first-order approximation of the spectral properties of dimer-type block resonator systems in the subwavelength regime, we show that a two-fold topological characterization of a block disordered resonator chain is available if it is of dominated type. The topological index used for the characterization is a generalization of the Zak phase associated with one-dimensional chiral-symmetric Hamiltonians. As a manifestation of the bulk-edge correspondence principle, we prove that a localized interface mode occurs whenever the system consists of two semi-infinite chains with different topological characters. We also illustrate our results from a dynamic perspective, which provides an explicit geometric picture of the interface modes, and finally present a variety of numerical results to complement the theoretical results.
toXiv_bot_toot
@grumpybozo@toad.socialI never could have been literate in Chinese. Not that I could not read those 2 characters as different, but I’d never be able to write characters with that fine a distinction with any sort of reliability. American cursive was bad enough. https://mastodon.social/@mcc/115651531673910237
@sean@scoat.esWhy, Paypal, why?
(Also: you mean "must" not "should”. Don't be like that.)
@leftsidestory@mstdn.socialMoody Urbanity - Metro Consistency 📌
情绪化城市 - 都市质地 📌
📷 Pentax MX
🎞️ Orwo Wolfen P400
#filmphotography #Photography #blackandwhite
@arXiv_csCV_bot@mastoxiv.pageCharacter Mixing for Video Generation
Tingting Liao, Chongjian Ge, Guangyi Liu, Hao Li, Yi Zhou
https://arxiv.org/abs/2510.05093 https://arxiv.org/pdf/2510…
@blakes7bot@mas.torpidity.netSeries C, Episode 02 - Powerplay
TARRANT: Yes?
AVON: [Indicating Harmon] Him.
HARMON: Why, you ly...
TARRANT: Easy Harmon.
HARMON: They were my friends.
TARRANT: Let him finish.
https://blake.torpidity.net/m/302/371 B7B3
@arXiv_mathRT_bot@mastoxiv.pageExtremal monomials of $q$-characters
Andrei Negu\c{t}
https://arxiv.org/abs/2510.08103 https://arxiv.org/pdf/2510.08103
@3sframe@social.linux.pizzaGot tired of Spotify's AI playlists and other wacky nonsense from their CEO.
Day 2 of trying Qobuz out, already found so many new albums. I had to create a playlist for all the new music. Feels a lot more human, which is sad that this is a selling point.
Spotify is an algorithmic echo chamber and it gets tough to find new artists outside of my genres/bands.
Also, concept albums are so much fun! I love lore deep albums with characters and stories.
@pre@boing.worldWatched Star Trek Section 31, a movie about the off-book starfleet characters trying to stop someone blowing up a quarter of the galaxy.
Might be the worst Star Trek ever made.
A crew with a mercenary ex-empressess from the mirror world, a mole, and no trust between 'em. They don't seem to get on but rescue the galaxy anyway. Maybe blow up a quarter of the mirror galaxy instead. Hurray. Genocide of our own galaxy averted.
Jokes aren't funny, characters aren't convincing, script full of dud. Somehow the murdering dictator is redeemed without any redemption arc.
Only for star trek completionists.
#watching #tv #starTrek
@Mediagazer@mstdn.social @tiotasram@kolektiva.socialDay 28: Samira Ahmed
As foreshadowed, we're back to YA land, which represents a lot of what I've been enjoying from the library lately.
I've read "Hollow Fires", "This Book Won't Burn", and "Love, Hate, and other Filters" by Ahmed, along with "Mad, Bad, and Dangerous to Know" which is quite different. All four are teen ~romances with interesting things to say about racism & growing up as a South Asian Muslim, but whereas the first three are set in small-town Indiana, the third is set in France and includes a historical fiction angle involving Dumas and a hypothetical Muslim woman who was (in this telling) the inspiration for several Lord Byron poems.
Ahmed's novels all include a strong and overt theme of social justice, and it's refreshing to see an author not try to wade around the topic or ignore it. Her romances are complex, with imperfect protagonists and endings that aren't always "happily ever after" although they're satisfying and believable.
My library has a plethora of similar authors I've been enjoying, including Adiba Jaigirdar (who appeared earlier in this list), Sabaa Tahir ("All my Rage" is fantastic but I'm less of a fan of her fantasy stuff), Sabina Khan ("The Love and Lies of Rukhsana Ali"), and Randa Abdel-Fattah ("Does My Head Look Big In This?"; from an earlier era). Ahmed gets the spot here because I really like her politics and the way she works them into her writing. Her characters are unapologetic advocates against things like book bans, and Ahmed doesn't second-guess them or try to make things more palatable for those who want to ban books (or whatever). Her historical fiction in "Mad..." is also really cool in terms of "huh that could actually totally be true" and grappling with literary sexism from ages past.
#30AuthorsNoMen
@otakus_terebi@mastodon.socialNew visual and promotional video for the one-hour sequel special 'Undead Unluck: Winter-hen'.
The episode will air on December 25, 2025.
#anime #japan #undeadunlock
@netzschleuder@social.skewed.demarvel_universe: Marvel Universe social network
The Marvel Universe collaboration network, where two Marvel characters are considered linked if they jointly appear in the same Marvel comic book.
This network has 19428 nodes and 95497 edges.
Tags: Social, Fictional, Unweighted
https://networks.skewed.de/ne…
@netzschleuder@social.skewed.demarvel_partnerships: Marvel character partnerships (2018)
A network of partnerships among characters in the Marvel comic book universe. Nodes are either heroes or villains, and edges represent partnerships between such characters. The partnership network was extracted from Wikipedia pages of these characters, which indicate partnership relations with other such pages.
This network has 350 nodes and 346 edges.
Tags: Social, Fictional, Unweighted
@mlawton@mstdn.socialFinished "I See You've Called in Dead" by John Kenney and loved it.
Bud Stanley is an obituary writer, adrift after his divorce. After a particularly brutal blind date, Bud has a bit too much to drink and accidentally publishes his own joke obituary. Chaos ensues.
Manages to be witty and funny without being over the top. Really great characters & dialogue, which reveal deep emotional questions about really living & caring for each other.
5/5 stars ⭐⭐⭐⭐…
@stefan@gardenstate.socialThe Mighty Nien show is fine. I don't think we are getting much value spending so much time on how all the characters meet. I know they got two seasons but they are still so short.
#criticalRole
@blakes7bot@mas.torpidity.netSeries A, Episode 08 - Duel
BLAKE: Yes.
AVON: Then I agree. [Lets go of Blake]
JENNA: Deactivating.
BLAKE: Vila, Gan, Jenna: we're going for a ram, take out the command ship.
GAN: A ram?!?
BLAKE: I don't see that there's any other hope for us.
https://blake.torpidity.net/m/108/173
@jake4480@c.imMaya Hawke narrates docuseries 'Nightmares of Nature', a two season series that follows three animal characters facing all the real-life horrors and monsters nature can throw at them.
The first season titled Cabin in the Woods (follows a mouse, raccoon, and frog) is on Netflix now, and the second season is titled Lost in the Jungle (follows an opossum, iguana, and spider) and will be on Netflix on October 28.
@leftsidestory@mstdn.socialMoody Urbanity - Stand 🧍♂️
情绪化城市 - 立 🧍♂️
📷 Nikon FE
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite
@netzschleuder@social.skewed.demarvel_partnerships: Marvel character partnerships (2018)
A network of partnerships among characters in the Marvel comic book universe. Nodes are either heroes or villains, and edges represent partnerships between such characters. The partnership network was extracted from Wikipedia pages of these characters, which indicate partnership relations with other such pages.
This network has 350 nodes and 346 edges.
Tags: Social, Fictional, Unweighted
@arXiv_csCV_bot@mastoxiv.pageFew-shot multi-token DreamBooth with LoRa for style-consistent character generation
Ruben Pascual, Mikel Sesma-Sara, Aranzazu Jurio, Daniel Paternain, Mikel Galar
https://arxiv.org/abs/2510.09475
@Techmeme@techhub.socialStuut, which connects to CRM and other systems to automate management of accounts receivable, raised a $29.5M Series A led by a16z (Charlie Fink/Forbes)
https://www.forbes.com/sites/charliefink/2025…
@Mediagazer@mstdn.socialEros Innovation, an AI and IP company which owns 12K film titles and 100K AI-ready characters, closed ~$150M in capital and acquisitions at a $2B valuation (Naman Ramachandran/Variety)
https://variety.com/2025/digital/news/eros-innovation-150…
@netzschleuder@social.skewed.degame_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted
@blakes7bot@mas.torpidity.netSeries C, Episode 03 - Volcano
ZEN: That information is not available.
VILA: Very helpful.
CALLY: Avon, those Federation assessment teams were always followed up by invasion and colonization.
AVON: Usually.
https://blake.torpidity.net/m/303/60 B7B2
@leftsidestory@mstdn.socialMoody Urbanity - Past II 📴
情绪化城市 - 过去 II 📴
📷 Zeiss Ikon Super Ikonta 533/16
🎞️ Ilford HP5, expired 1993
#filmphotography #Photography #blackandwhite
@stefan@gardenstate.social5 hours in to Octopath Traveler I'm medium on the game. Not bad but not grabbing me yet.
Started with Tressa was good. Then went to Cyrus and the last boss was super hard.
Really need these characters to start interacting but doing these starter stories seems to not have any which makes sense but is annoying.
#videogames
@blakes7bot@mas.torpidity.netSeries A, Episode 04 - Time Squad
JENNA: All right. [walks toward the passage off Liberator flight deck, then stops]
BLAKE: Problem?
JENNA: Putting out a false distress signal. It's a trick used by space pirates.
https://blake.torpidity.net/m/104/60 B7B4
@Techmeme@techhub.socialMeta plans new Instagram teen safety tools in 2026, letting parents block teens from chatting with AI characters and sending them "insights" from teens' chats (Robert Hart/The Verge)
https://www.theverge.com/news/801505/meta-ai-chatbot-parental-…
@Mediagazer@mstdn.socialIn three days, Elon Musk has posted or reposted criticisms and calls to cancel Netflix at least 26 times on X, over transgender references in kids' shows (Todd Spangler/Variety)
https://variety.com/2025/digital/news/elon-mu…
@netzschleuder@social.skewed.degame_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted
@blakes7bot@mas.torpidity.net#Blakes7 D01 - Rescue
[Planet terminal. Exterior, night. A crude camp has been made. A small fire burns in the centre. Dayna, Tarrant and Avon are seated around the fire. Avon has Orac in his lap and is attempting to repair it.]
TARRANT: Vila rescued me?
@Techmeme@techhub.socialInside the discussions between OpenAI and talent agencies about the video app Sora; some agents say studios have been too reluctant to challenge tech giants (Winston Cho/The Hollywood Reporter)
https://www.hollywoodreporter.com/business
@leftsidestory@mstdn.socialDouble Double 🛗
成双 🛗
📷 Nikon F4E
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite
@netzschleuder@social.skewed.degame_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted
@netzschleuder@social.skewed.degame_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted
@blakes7bot@mas.torpidity.netSeries C, Episode 01 - Aftermath
AVON: Are you all right?
DAYNA: Yes.
AVON: When we first met, you said there was no pleasure without danger. Do you still feel that way?
DAYNA: I think I can do without excitement for a little while.
https://blake.torpidity.net/m/301/520 B7B…
@Techmeme@techhub.socialSources: Disney's Sora deal is entirely in OpenAI stock rather than a cash licensing fee; Disney has the option to buy additional stock beyond the $1B stake (Bloomberg)
https://www.bloomberg.com/news/articles/2025-12-15/ope…
@netzschleuder@social.skewed.demarvel_partnerships: Marvel character partnerships (2018)
A network of partnerships among characters in the Marvel comic book universe. Nodes are either heroes or villains, and edges represent partnerships between such characters. The partnership network was extracted from Wikipedia pages of these characters, which indicate partnership relations with other such pages.
This network has 350 nodes and 346 edges.
Tags: Social, Fictional, Unweighted
@blakes7bot@mas.torpidity.netSeries D, Episode 05 - Animals
JUSTIN: They'll come in when they're hungry enough. All except Og.
DAYNA: Why won't he?
https://blake.torpidity.net/m/405/229 B7B5
@Techmeme@techhub.socialAmazon rolls out Ask This Book to the Kindle iOS app, letting readers ask questions about plot or characters; authors can't opt out (Will McCurdy/PCMag)
https://www.pcmag.com/news/kindles-new-ai-feature-can-answer-questions-about-yo…
@netzschleuder@social.skewed.degame_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted
@blakes7bot@mas.torpidity.net#Blakes7 Series C, Episode 10 - Ultraworld
AVON: They've presented no threat so far.
TARRANT: Maybe they're biding their time.
AVON: What for? They could take us out quite easily with their technology.
https://blak…
@netzschleuder@social.skewed.demarvel_partnerships: Marvel character partnerships (2018)
A network of partnerships among characters in the Marvel comic book universe. Nodes are either heroes or villains, and edges represent partnerships between such characters. The partnership network was extracted from Wikipedia pages of these characters, which indicate partnership relations with other such pages.
This network has 350 nodes and 346 edges.
Tags: Social, Fictional, Unweighted
@netzschleuder@social.skewed.demoviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 27 nodes and 58 edges.
Tags: Social, Fictional, Weighted
@blakes7bot@mas.torpidity.netSeries D, Episode 02 - Power
GUNN SAR: Put that thing back where it came from. Use his glove.
[On the hillside]
PELLA: The one being held by the Hommiks is called Avon.
KATE: Well, does he concern us?
PELLA: Our future depends on him. Dorian is dead.
https://blake.torpidity.net/m/402/207
@netzschleuder@social.skewed.delesmis: Les Misérables coappearances
The network of scene coappearances of characters in Victor Hugo's novel "Les Miserables". Edge weights denote the number of such occurrences.
This network has 77 nodes and 254 edges.
Tags: Social, Fictional, Weighted
https://networks.skewed.de/net/lesmis
@blakes7bot@mas.torpidity.netSeries B, Episode 10 - Voice from the Past
VILA: You're in charge now, are you?
AVON: Can you think of anyone more suitable? Yourself, perhaps? [Exits]
VILA: And why not? [Shouts after Avon] I'm as good as you are. [Sotto voce] Better probably.
https://blake.torpidity.net/m/210/177<…
@netzschleuder@social.skewed.demarvel_universe: Marvel Universe social network
The Marvel Universe collaboration network, where two Marvel characters are considered linked if they jointly appear in the same Marvel comic book.
This network has 19428 nodes and 95497 edges.
Tags: Social, Fictional, Unweighted
https://networks.skewed.de/ne…
@netzschleuder@social.skewed.demarvel_partnerships: Marvel character partnerships (2018)
A network of partnerships among characters in the Marvel comic book universe. Nodes are either heroes or villains, and edges represent partnerships between such characters. The partnership network was extracted from Wikipedia pages of these characters, which indicate partnership relations with other such pages.
This network has 350 nodes and 346 edges.
Tags: Social, Fictional, Unweighted
@netzschleuder@social.skewed.demoviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 15 nodes and 50 edges.
Tags: Social, Fictional, Weighted
@netzschleuder@social.skewed.demoviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 40 nodes and 100 edges.
Tags: Social, Fictional, Weighted
@netzschleuder@social.skewed.demoviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 20 nodes and 30 edges.
Tags: Social, Fictional, Weighted
@netzschleuder@social.skewed.demarvel_universe: Marvel Universe social network
The Marvel Universe collaboration network, where two Marvel characters are considered linked if they jointly appear in the same Marvel comic book.
This network has 19428 nodes and 95497 edges.
Tags: Social, Fictional, Unweighted
https://networks.skewed.de/ne…
@netzschleuder@social.skewed.demoviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 27 nodes and 96 edges.
Tags: Social, Fictional, Weighted
@netzschleuder@social.skewed.delesmis: Les Misérables coappearances
The network of scene coappearances of characters in Victor Hugo's novel "Les Miserables". Edge weights denote the number of such occurrences.
This network has 77 nodes and 254 edges.
Tags: Social, Fictional, Weighted
https://networks.skewed.de/net/lesmis
@netzschleuder@social.skewed.demarvel_universe: Marvel Universe social network
The Marvel Universe collaboration network, where two Marvel characters are considered linked if they jointly appear in the same Marvel comic book.
This network has 19428 nodes and 95497 edges.
Tags: Social, Fictional, Unweighted
https://networks.skewed.de/ne…
