This is cool!
NVIDIA just put 2,575 simulation-ready 3D assets on Hugging Face 🤯
A 472GB collection covering everyday objects, tools and industrial equipment.
It’s called NVIDIA SimReady Assets. The models include physics settings and semantic labels for use in simulated environments.
- Train robots to pick up and move objects
- Build virtual factories and warehouses
- Generate labelled training images
- Populate 3D scenes with ready-made objects
Useful for robotics research, digital twins and anyone building detailed virtual environments.
Download the collection below 👇
This is an incredible moment in this history of mathematics, computer science, physics & science with some of the hardest problems in human history being solved by AI over a period of weeks. Depending on your perspective, it's either a crisis, a triumph, or both. I don't think anyone knows for sure. We're all trying to make sense of it. I oscillate between fear/dread and optimism/excitement on a daily basis. The rate of progress is insane, including today's announcement from OpenAI of more problems solved.
To help make sense of all of it, here's my conversation with three mathematicians about this moment. Each of them is an expert in the field of each of the biggest problems solved: Navier-Stokes, quasi-Riemann hypothesis, the unique games conjecture and complexity theory more generally.
Ankur Moitra is a mathematician and theoretical computer scientist at MIT, visiting the Institute for Advanced Study in Princeton. Steven Brunton (@eigensteve) is a mathematician and fluid dynamics expert at UW. Alex Kontorovich (@AlexKontorovich) is a mathematician at Rutgers specializing in number theory.
Corey retweeted
#49: Enable expedited proposals
The 1-day fast lane for urgent votes was unusable: its deposit pointed to a token that doesn’t exist on $BZE. This sets it to 500K BZE, 5× the normal deposit.
explorer.getbze.com/proposal… 👇










