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@Mediagazer@mstdn.social
2026-08-13 11:25:45

Disney secures rights to podcast content of Gary Neville's soccer media group The Overlap in a multimillion-pound deal; shows will still broadcast on YouTube (Matt Hughes/The Guardian)
theguardian.com/football/2026/

@Techmeme@techhub.social
2026-10-13 02:50:47

Q&A with Mark Zuckerberg and Alexandr Wang on the Muse app, Muse Wonder, the risks of committing $100B to AI, rebooting Meta's AI team, agentic commerce, more (Cheeky Pint)
cheekypint.substack.com/p/muse

@hynek@mastodon.social
2026-07-14 07:34:07

cooool, Hashi Nomad 2.0.4 broke half of our cluster in a fucking point release again 🥲
i'm really gonna have to learn kubernetes don't i
github.com/hashicorp/nomad/iss

@alejandrobdn@social.linux.pizza
2026-10-12 16:44:10

I really messed up my Duplicati container config and I couldn't figure out how to create a new one by replicating it so that it would use my current backups as a starting point. I had to start the backup on my DAS from scratch.
No problem because I followed the 3-2-1 rule and have an additional offsite backup that (even though its rclone script only runs once a month) contains everything important in case the worst happens during the current backup.
Listen to the IT gurus, k…

@michabbb@social.vivaldi.net
2026-07-14 01:47:52

🧠 The reasoning: text tokens are discrete, drawn from a fixed vocabulary of ~50,000 entries, each mapping to a fixed point in embedding space.
Image tokens are continuous vectors of a thousand floating point numbers, so they can pack far more information into the same space.
🎮 The test: a tower-defense game where the AI plays in JSON mode without graphics, run for hours with two context variants — the same game state as a plain text string, and as an image rendered via PixelPipe.…

@Mediagazer@mstdn.social
2026-09-14 05:01:14

Analysts discuss consumer frustration over streaming price hikes and Netflix having the lowest risk of cancellations due to its "deep bench of content" (Todd Spangler/Variety)
variety.com/2026/tv/news/strea

@bilbo_le_hobbit@mamot.fr
2026-10-12 19:03:49

C'est une maison bleue, accrochée Š la... falaise.
La maison WTF de #Ouessant. Vue imprenable. #OuessantCestMoche #bzh

Maison blanche aux volets bleus et toit en ardoises accrochée à la falaise abrupte, sur la pointe du Stiff à Ouessant. Photo prise depuis la falaise d'en face dont on voit la végétation rase au premier plan. La falaise de la maison plonge 50 mètres plus bas dans la mer d'Iroise. La mer est peu agitée, on voit le continent à l'horizon. Temps ensoleillé avec des formations nuageuses
@theodric@social.linux.pizza
2026-08-12 18:24:40

Despite the clouds and the oh-so-helpful automatic exposure continually resetting its zero point until I was unable to cut enough light to meaningfully capture the occlusion in quantity, I got these two shots. I really need a dSLR that does as it's told!

Tiny crescent shot through a welding mask
Tiniest crescent shot raw
@arXiv_csHC_bot@mastoxiv.page
2026-08-12 08:29:20

AI-Generated Interactive Fiction for Educational Use: A Pilot Study of Perceived Comprehensibility, Coherence, and Engagement
Finn Rogosch, Andreas Schrader
arxiv.org/abs/2608.10818 arxiv.org/pdf/2608.10818 arxiv.org/html/2608.10818
arXiv:2608.10818v1 Announce Type: new
Abstract: Generative artificial intelligence (AI) can produce educational content at scale, including interactive and narrative learning experiences, but technical generation alone is not sufficient: scenarios that are confusing, narratively inconsistent, or unengaging are unlikely to be useful in practice. This paper presents a pilot user-centred evaluation of AI-generated interactive fiction (IF) for educational use in higher education. Using a previously described domain-agnostic pipeline and a shared STEM content base, we generated a controlled pool of scenarios and asked participants (N = 22, STEM higher-education) to play one generated episode and rate it on narrative clarity, story-content coherence, engagement, and length acceptance. A free-text prompt captured open feedback. Narrative clarity and length acceptance were rated positively, engagement sat near the neutral mid-point of the scale, and story-content coherence was the weakest dimension by a clear margin. Qualitative feedback points to quiz integration as the bottleneck. Artificial in-fiction motivation for quiz prompts and abrupt setting changes were reported. Feedback also pointed to missing story-level consequences for wrong answers. From these observations, we derive concrete design implications that can inform larger follow-up studies, including later work on learning effectiveness.
toXiv_bot_toot

Netanyahu rejects US Gaza plan, vows no pullout until Hamas disarms
Israeli prime minister Benjamin Netanyahu has rejected a Gaza plan hailed by Donald Trump,
vowing no military pullout of Gaza until Hamas is “genuinely” disarmed.
“Israel rejects the 15-point document,” Netanyahu said,
referring to a plan endorsed in late July by Hamas.
The Israeli military “will not carry out any withdrawal until Hamas is genuinely disarmed
and will continue to thwart thr…