Thomas Guntenaar retweeted
Tesla is celebrating Halloween this year by having a Cybercab autonomously drive around Austin with skeletons inside haha 🎃
Thomas Guntenaar retweeted
Introducing Reality-Aware Rendering in @Simulon, a completely new way to create with the real world.
Place neural assets with your phone and act out the scene. When you stop recording, Simulon renders the take, reading everything in it (what you do, what you say and the place around you), and your assets respond to all of it.
The final is regenerated from your recording: a new performance of the scene, not a copy of the footage.
Available now on iPhone. Coming to Android soon.
Thomas Guntenaar retweeted
GitHub going down on PHPocalypse day is INSANE.
We are investigating reports of degraded performance for Actions, Pull Requests and Webhooks githubstatus.com/incidents/n…
Thomas Guntenaar retweeted
Remake de la temporada 8 de Juego de Tronos | Concept Trailer
Autor: Marvelous Trailers
Your AI video looks great.
Now make it sound right.
I shipped Opus Sounds Directory: 39 royalty-free beds and SFX made by Claude Opus 5.5 as Python synthesis code.
Every entry has the prompt, the code, a spectrogram, and measured loudness.
Made a sound you're proud of? Add it 👇
Submit your prompt + audio and it can land in the directory next to the Opus 5.5 ones. Everything's CC0, free for anyone's videos.
→ opussounds.directory/submit?…
Thomas Guntenaar retweeted
Last weekend at Black Rock (BALLS 34), I flew my (near)-hypersonic homebuilt experimental 54mm rocket to Mach 4.96 (5372 fps)! To my knowledge, this is the fastest single-stage rocket ever flown and fully recovered by any amateur, among other records in student rocketry.
Very entertaining
Box CEO Aaron Levie, Steven Sinofsky, and Martin Casado join Erik Torenberg to discuss "We Must Pace the Frontier," the upcoming AI election in 2028, and Jev:
They argue that most of today's AI regulation debate is happening before anyone has defined the risks being regulated. Every prior wave, from computer viruses to aviation, built its safety standards after learning how the technology actually failed.
Then it gets concrete. Agents don't get tired, run at enormous scale, and probe systems in ways employees never could, which may mean rethinking permissions, authentication, and the security stack itself.
They close on why AI innovation may increasingly happen outside the frontier labs, in the software built around the models.
00:50 "We Must Pace the Frontier"
03:50 Do the labs believe their own x-risk talk?
06:49 If it's existential, nationalize it
11:32 "You're asking us to regulate you?"
12:08 2028 as the AI election
18:50 Tech never learned to navigate regulation
25:50 The law that came from one 1983 hack
28:39 Noam Brown's heat exfiltration idea
32:30 Cold War covert channel stories
34:35 Agent swarms look like a DoS attack
41:25 Sinofsky's fear: GDPR for AI
46:20 No jets if the FAA started in 1910
48:38 Jev: decision engines vs. chatbots
53:01 Labs build beings, software needs tools
YouTube: youtu.be/TLJNJDf2XGo
@levie @stevesi @martin_casado @eriktorenberg


























