Cosmos 3 ties everything together. Previous releases separated world generation, physical understanding, and controlled scene generation. Cosmos 3’s MoT architecture unifies these capabilities by pairing an autoregressive reasoner tower with a diffusion-based generator tower.
MACHINE LEARNING
-
NVIDIA AI launches Cosmos 3, first fully open omnimodel for Physical AI
By
–
Introducing Cosmos 3: Our latest frontier model for Physical AI
— NVIDIA AI (@NVIDIAAI) 1 juin 2026
Cosmos 3 is the world’s first fully open omnimodel with native vision reasoning, world and action generation.
Today we’re releasing Super (32B) and Nano (8B) variants. pic.twitter.com/6UfkSA7kzQIntroducing Cosmos 3: Our latest frontier model for Physical AI Cosmos 3 is the world’s first fully open omnimodel with native vision reasoning, world and action generation. Today we’re releasing Super (32B) and Nano (8B) variants.
-
AI Talk to Art to Robot Build: Future Awesome
By
–
talk to AI -> create AI art -> robot builds it. Future gonna be so awesome
-
New AI boasts 5x faster architecture at 30% lower cost
By
–
"The architecture is incredibly fast." "5x faster." "30% cheaper." Here's the new AI.
-
Claude’s Higgsfield Reframe: Stop Cropping, Preserve Backgrounds Across Aspect Ratios
By
–
You may now stop cropping your shots!
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 1 juin 2026
Claude now supports Higgsfield Reframe: give a reference image and it preserves backgrounds across any aspect ratio – perfect for podcasts, IRL streams, commercials, films, and cartoons.
Use it on Higgs or inside Claude via Higgs MCP.… pic.twitter.com/d8gyLfrstMYou may now stop cropping your shots! Claude now supports Higgsfield Reframe: give a reference image and it preserves backgrounds across any aspect ratio – perfect for podcasts, IRL streams, commercials, films, and cartoons. Use it on Higgs or inside Claude via Higgs MCP.
-
Large scale pretrained models remain important in AI
By
–
This was right five years ago, and still is: “Large scale pretrained models are certainly likely to figure prominently in artificial intelligence for the near future, and play an important role in commercial AI for some time to come. The results that have been achieved with them
-
Marcus and Davis 2021 insight on large pretrained models
By
–
and see Marcus and Davis, all the way back in 2021: “Large scale pretrained models are certainly likely to figure prominently in artificial intelligence for the near future, and play an important role in commercial AI for some time to come. The results that have been achieved
-
Benchmarks are boring; enterprises need shipping LLM capabilities now.
By
–
Wall Street is watching frontier model benchmark porn while enterprises quietly die waiting for capabilities that actually ship. MMLU and HLE were very useful for about a nano-second. But now they are just boring. We don’t need to know how well an LLM can do on a test. We need
-
User waits for weights before commenting on M3 numbers
By
–
M3 numbers look good but am gonna wait for the weights before I comment any further