@cdarwin@c.im2025-12-07 21:07:01
Anduril cofounder Palmer Lucked defended the use of AI technology to make life-and-death decisions in war on Sunday.
A group of defense tech startups that includes Anduril,
along with traditional defense companies,
is developing autonomous AI weapons and tools for use in conflicts around the world,
-- worrying some who say the technology is not ready for such high-stakes environments.
"When it comes to life and death decision-making, I think that it is too …
@BBC3MusicBot@mastodonapp.uk2026-02-08 12:00:29
🔊 #NowPlaying on #BBCRadio3:
#PrivatePassions
- Richard Stokes
Michael Berkeley's guest is Richard Stokes, one of the world's leading authorities on German art songs or lieder. He has also translated many songs and operas.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002qqnw
@bobmueller@mastodon.world2025-12-04 23:00:08
Interesting article from The Guardian about the idea of distinct phases or eras of human brain development.
https://www.theguardian.com/science/2025/nov/25/brain-human-cognitive-development-life-stages-cambridge-study
@cheryanne@aus.social2025-12-08 20:59:19
WhosOnFirstWatch - A Daggerheart System TTRPG Actual Play Podcast
Follows a band of broken heroes battling war, magic, and cosmic horror in the dying homebrew world of Hammanaroth—perfect for fans of gritty storytelling, high-stakes roleplay, and epic fantasy adventures....
Great Australian Pods Podcast Directory: https://www.…
@pre@boing.world2025-11-23 16:11:28
Thomas voegtlin talks about nostr spam. It's very censorship resistance means spam can't be stopped by moderators.
One way to stop spam is require proof of work before your client accepts a message. A large difficult hash.
But big hashing machines are more available to spammers than people.
Can't use likes or zaps cuz they can be faked with sybil attacks.
Instead: notaries and proveably burned satoshis.
Your public messages are classified as ham rather than spam if you burn enough money.
Nostr event types to prove it are suggested. Including burning to upvote others messages
Don't think I like deliberately burning the money, and seems to me a web of trust might work without doing that? Pay to post also peanizes there poor.
But it isn't really burned here, it's shaed out to miners to continue a subsidy when the block rewards run out. So paying miners and these notaries rather than really burning. Okay. Maybe better, but still makes messages mostly for the rich?
#bitfest #bitcoin #nostr
@arXiv_csGR_bot@mastoxiv.page2026-01-30 08:28:26
JUST-DUB-IT: Video Dubbing via Joint Audio-Visual Diffusion
Anthony Chen, Naomi Ken Korem, Tavi Halperin, Matan Ben Yosef, Urska Jelercic, Ofir Bibi, Or Patashnik, Daniel Cohen-Or
https://arxiv.org/abs/2601.22143 https://arxiv.org/pdf/2601.22143 https://arxiv.org/html/2601.22143
arXiv:2601.22143v1 Announce Type: new
Abstract: Audio-Visual Foundation Models, which are pretrained to jointly generate sound and visual content, have recently shown an unprecedented ability to model multi-modal generation and editing, opening new opportunities for downstream tasks. Among these tasks, video dubbing could greatly benefit from such priors, yet most existing solutions still rely on complex, task-specific pipelines that struggle in real-world settings. In this work, we introduce a single-model approach that adapts a foundational audio-video diffusion model for video-to-video dubbing via a lightweight LoRA. The LoRA enables the model to condition on an input audio-video while jointly generating translated audio and synchronized facial motion. To train this LoRA, we leverage the generative model itself to synthesize paired multilingual videos of the same speaker. Specifically, we generate multilingual videos with language switches within a single clip, and then inpaint the face and audio in each half to match the language of the other half. By leveraging the rich generative prior of the audio-visual model, our approach preserves speaker identity and lip synchronization while remaining robust to complex motion and real-world dynamics. We demonstrate that our approach produces high-quality dubbed videos with improved visual fidelity, lip synchronization, and robustness compared to existing dubbing pipelines.
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