Anthony Duca retweeted
Without a doubt this is to me the future of robotics simulation. and it's incredibly cool that you can play around with it and interact with it.
but i also think you can see how incredibly *data limited* this sort of approach is. limited workspace, gripper closure artifacts. would be amazing to see this at frontier lab scale.
We introduce 3D World Simulator, an interactive world model that runs at 50+ FPS on an RTX 5090.
Our model predicts in a unified 3D representation space, capable of generating:
• Novel view appearance
• Multi-view consistent RGB-D
• 3D geometry
• Spatially aligned tactile signals
Play with the world model now at jwang771.github.io/3dworldsi…!
Anthony Duca retweeted
🚨 BREAKING:
@anybotics just started customer deliveries of ANYmal X.
It's the world’s first legged inspection robot certified for explosive atmospheres.
Four years of engineering. More than ten patents, and a problem most experts said was impossible to solve.
I spent some time deploying robots in oil and gas environments. I know exactly how hard this is. Getting ATEX certification for any piece of equipment in a hazardous zone is a brutal process, component by component, failure mode by failure mode, with independent certification bodies scrutinising every decision.
For a fixed sensor or a handheld device it’s already hard. For a legged robot with high-power motors, a large battery, exposed cameras, autonomous docking and the need to climb stairs and navigate narrow walkways?
Most engineers would tell you it can’t be done, but Swiss ANYbotics did it anyway! 🇨🇭
The technical challenge is extraordinary:
→ Every ignition risk across the robot’s entire service life had to be identified and mitigated
→ AI computer and inspection equipment enclosed in nitrogen-filled sealed chambers
→ All twelve leg actuators and battery protected by flameproof casings
→ Tested against shock, vibration, corrosion, solar radiation and salt mist
→ Certified to both ATEX (Europe) and IECEx (global) standards
ANYmal X ships as a complete end-to-end inspection solution, autonomous navigation, industrial AI for data interpretation, and direct integration into SAP, Yokogawa and SLB maintenance systems.
Undetected equipment failures cost the world’s 500 largest companies $1.4 trillion per year in preventable downtime.
In oil and gas, a single hour of unplanned downtime can cost up to $500,000. US extraction workers face a fatality rate seven times the national average.
ANYmal X goes into the zones humans shouldn’t be in. Autonomously. Repeatedly. With full data flowing back into the maintenance system.
@fankhauser put it simply: “The areas that matter most were off-limits to robots like ours. That changes today.”
BIG RESPECT TO THE TEAM BEHIND THIS ROBOT!
~~
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Anthony Duca retweeted
A quadruped just solved a Rubik’s cube, with its feet! 🐾
A four-legged robot that normally just walks, autonomously solving a giant Rubik’s cube using only the two feet it also stands on.
This is new work from ETH Zürich and NVIDIA Robotics.
They call it pedipulation, manipulation with feet.
The robot walks around the cube and scans it with an onboard depth camera. SAM 3 segments the cube, ICP locks in its 3D pose, and the facelet colors get classified to rebuild the full cube state. A standard solver plans the moves. Then learned skills execute them.
The hardest skill is turning a layer: one foot pins the cube in place while the other pushes the top layers 90°. Pin and push at once, on legs that are also holding the robot up.
→ Trained in simulation with RL, then distilled into policies running on just depth + the robot’s own joint sensing
→ ~2 cm pose error and under 3° rotation error out to 2 m
→ Facelet color read with 100% accuracy indoors, 98.7% outdoors
→ Three full autonomous solves on real hardware, ~30 steps each, 8–9 minutes
A party trick on the surface. Underneath, it’s a quadruped completing a long, precise, multi-step physical task with nothing but its feet and its own eyes.
That’s a real step toward legged robots that do more than walk. 😮💨
🔗 Project page here: leggedrobotics.github.io/rub…
~~
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If you use @AwakenTax to check your crypto, we used to have an app.
Now it’s back.
It has a lot more stuff. And it’s faster.
apps.apple.com/us/app/awaken…
Independent of how practical this is , the thing I love is the amount of innovation here, and there’s things here that will find its way into industry.
Hmmm. As I predicted, we had a fan car that sucks itself to the road for low speed cornering.
And it has back thrusters to allow it to get sub 1 second 0-60.
What I didn’t expect was bottom and gimbaling thrusters to allow it to jump over a Tesla Semi and other cars, do barrel rolls in the air and jump down and land from up high.
Production won’t be until 2028, so first deliveries maybe in 2 years. Is the COPV powered thruster package optional? Initially it was touted as an optional package, but now I’m not sure.
They had a half car buck there and I fit comfortably in it and it wasn’t horrible for my 63 year body to get in and out. But I saw a couple of taller guys struggle, and their knees were perched up sitting in it. It didn’t look like there would be any front/back seat adjustment. The steering wheel adjusted forwards and backwards, and maybe the pedals will too.
The car looked very angular, like a Lamborghini. Not at all like the 2017 Roadster. I didn’t love it. 2 seater, no mention of trunk space, or behind the seat storage. Actually Franz said the seats were part of the frame, so behind the seat storage is unlikely.
While the flying car concept made for a cool demo, we noticed that no human was in the car. Indeed, where and why would you pull stunts like that? If Tesla didn’t even feel comfortable putting a professional driver in there, what does that mean for the ordinary consumer?
And that’s my fear about this car. Elon said this would blow away track records. But that’s a race car, not a sports car. A race car necessarily has a very stiff suspension, a roll cage, and is built as light as possible.
That leaves no space or weight for practical things like trunk space, nor is it comfortable to drive. And to top it off, Elon implied the car wouldn’t even have FSD for those long trips to/from the track.
The demo left tons of questions unanswered.
In the end, we were shown four things. Flying ability which won’t be street legal nor safe for the average driver; sub 1 second 0-60, ditto; an uglier design; and a ducted fan car for cornering grip. Only 1 out of those four work for me.
Unless we get more info soon about the Roadster, I may drop my reservation and buy an actual sports car.
Anthony Duca retweeted
Announcing the beta release of the Pi API. We’ve partnered with companies across diverse industries to adapt our models to their robots and applications, from harvesting strawberries to assembling servers. Now we’re opening access to more teams.
This feels like a big deal. @XPENG_Global has officially commissioned its humanoid robot production lines and completed the production-lines manufacturing of the world's first advanced humanoid robot, which autonomously walked off the lines, marking a critical leap from R&D prototyping to production-lines manufacturing.
xpeng.com/news/01a080371029a…
The next trillion dollar AI business will be an AI game studio
The video game industry is bigger than you can imagine. Larger than movies and music COMBINED
For YEARS now video games have absolutely SUCKED
The economics of video games became broken. They became too expensive to make
Developers demand hundreds of thousands of dollars a year, then refuse to use AI
It's completely killed the entire industry
People don't remember this, but there was only 1 year between Grand Theft Auto 3 and Grand Theft Auto Vice City. 362 days to be exact.
It's been THIRTEEN YEARS since the last Grand Theft Auto
From 1 year to 13 years. A completely broken industry
AI fixes this. AI allows one developer to have the power of a team of literally 1,000 developers
While the video game industry absolutely REFUSES to embrace innovation, that gives you the opportunity to strike
If you can make a game of any sort of quality right now with GPT 6 Astra, you can take a bite of a $213 BILLION dollar a year industry that would rather their company go bankrupt than use AI
Video games being all over your timeline the last 24 hours is a MAJOR signal
An entire industry is broken and begging to by disrupted by innovation
I'm legitimately starting my own game dev studio, and you 100% should consider it too
Anthony Duca retweeted
GPT-6 Astra did it. Asked it take an old 3d scan of my parents drawing room and model it from scratch in Blender. It didn't download any assets and sourced textures from my photogrammetry scan and make procedural shaders. Man did it do a nice job!
ChatGPT 6 Astra is the holy grail
It is by far the greatest AI model ever made, and can seriously be considered AGI
It one-shot the top down multiplayer extraction shooter for me. All graphics, sounds, gameplay done through Blender and Unity
Here's the most impressive part:
1. It's faster than GPT 5.6 sol
2. It did this in less credits
3. It did it with significantly higher quality
Cheaper per task, faster, significantly better.
Basically no trade offs. The trifecta. The holy grail.
It's picking up all my existing work and just destroying it. Crushing everything in its way. Finding novel insights, solutions no model has ever thought of.
Here's how I'd use it if I were you:
Include as much context, with as little direction as you can when prompting the model
What I mean by that is, let the model decide how to take action. Let the model breathe. Let it be autonomous. Let is find novel solutions.
Let's face it, the model is smarter than us. Us telling the model how to do work is stupid. It's like me telling Michael Jordan how to take shots.
Ask more questions than directions you give. You should be asking the model 10x more questions than directions.
Questions should be:
• How do you approach this problem?
• What are different solutions we can use?
• What are things I'm not thinking about here?
I call it reverse prompting. You should be relentlessly reverse prompting
What an incredible time to be alive
TLDR: go long Nvidia, chip providers, hyperscalers, neoclouds, and honorable mentions are energy, cooling providers, data center construction companies.
Exciting day for NVIDIA and @huggingface.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI.
Thank you @ClementDelangue for coming to me.
NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗
blogs.nvidia.com/blog/nvidia…
Anthony Duca retweeted
A New World Record 🤯
8.8 → 8.6 💨
in less than 3 days we’ve gone from +11 seconds to 8.6 seconds on the 100m sprint for humanoid robots.
Wild times.
Anthony Duca retweeted
Introducing Index
Today we're coming out of stealth with Index, the largest & most diverse robot dataset in the world
→ 30min of video uploads/sec
→ 16M video uploads
→ Paid $15M to date
→ 264k downloads
We're committed to spending $1B the next 12 months on data & compute
Anthony Duca retweeted
Introducing Index
Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots
To date we've crossed 264,000 app downloads and uploaded 16 million videos
Anthony Duca retweeted
I love reading entrepreneur founding stories, and here’s Unitree’s from the perspective of the first angel institutional investor.
Unitree just had an explosive Chinese IPO but more than that, they are a world leader in humanoid robotics.
Many Americans assume Chinese industry is nurtured via central politburo edicts and cash. That is at best a very outdated view.
China has no less an important and vibrant Venture Capital community than we have in the US.
The story below documenting Unitree’s early funding, running on fumes, finding early traction, steering away from distractions, and making key pivots is identical to what you’d read about a Silicon Valley startup.
"Very often, it is not the founder catching up to the era. It is the era finally catching up to the founder."
- Jack Zhang (@Jackzzzz), recapping GeekPark's early bet on Unitree, nine years ago, on the day of its IPO.






















