Live immersive MLB on Apple Vision Pro. It felt like I was at Yankee Stadium. The whole experience was incredible. Shot through the lens with iPhone since it can’t be recorded on headset.

I am not joking when I say this. Spotify, Apple Music, and streaming in general is over. AI music is now very, very good. You just don't know yet because all AI music circulating today is from ~2-3 generations ago. Suno v6 pro et al has solved infinite personalized music.

Chrome Extensions🧩 now in Fluid! Starting with: - Dark Reader - uBlock Lite - Bitwarden - LastPass - 1Password - Proton Pass More coming soon.

Live immersive MLB on Apple Vision Pro. It felt like I was at Yankee Stadium. The whole experience was incredible. Shot through the lens with iPhone since it can’t be recorded on headset.

Meta just open-sourced its dexterity stack! 🪬 Most physics simulators were built for things that move through space. Walking robots, drones, cars. Contact is the part they approximate worst, and obviously dexterous manipulation is nothing but contact. Project SuperDex, from Meta Reality Labs Research, is built the other way around, a contact-first physics engine with the whole platform stacked on top of it. The cool part is that it's on GitHub. The engine runs one solver across rigid bodies, soft bodies, rods and tendons, shells and cloth, in the same model. → Non-convex collision with accurate contact force distributions, so a multi-finger grasp gets simulated rather than approximated → Tactile sensors and soft contact as first-class primitives → Numerical stability without the tight time-step limits explicit solvers force on you → Constraint-aware inverse kinematics running on the same optimization core as the forward dynamics Then the data layer. Put on a Quest 3, teleoperate the simulated hand with haptic feedback, and generate demonstration datasets without touching real hardware. They show a shape-sorting policy trained entirely in simulation and deployed zero-shot on a real robotic hand. Robot hands are getting good. Data for them isn't that fast. Meta is betting the cheapest way to collect contact-rich demonstrations is a headset people already own, pointed at a simulator instead of a game. 🔗 Here's the project page: projectsuperdex.com/ ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com

Grand Theft Auto VI: An Extended Look premieres on @netflix Thursday, August 27 at 3 p.m. ET. netflix.com/GTAVI

Introducing ACT-2 Preview The first robotics model to unify broad generalization with high reliability. A single fine-tuning example can teach Memo a new behavior that generalizes. Zero shot, real unseen homes, 99% success rate.

Introducing NEO’s 25 Degrees of Freedom, tendon-driven hands — nearing or surpassing human-level dexterity, strength, speed, and reliability. For seventy years, robotics worked around the hand problem. The humanoid bet is the reverse: it lives or dies at the fingertips.

Most embodied AI hardware still feels like it was designed for a 3-minute demo, not an 8-hour data collection run in variable conditions. This one feels different. Same core architecture across four camera configurations — binocular when you want minimal wear, up to 8-cam when you need maximum coverage and redundancy. Wide 288° FOV. High-SNR IMU with automatic trajectory registration. Real hot-swap power. Sub-millisecond multi-device sync. Local storage + connectivity built in. Clean execution on the details that actually determine whether hardware gets used or sits on a shelf. #EmbodiedAI #VLA #PhysicalAI