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3D understanding is already a challenge for AI models – let alone 4D (space + time) 4D-RGPT is a specialized MLLM from @NVIDIA that perceives 4D information for enhanced understanding of both 3D structure and temporal changes. It improves over the baseline on non-region 3D/4D:”” https://x.com/TheTuringPost/status/2005800455776211160
7 Notable world models of 2025 ▪︎ LeJEPA ▪︎ Code World Model (CWM) ▪︎ Probabilistic Structure Integration (PSI) ▪︎ PAN world model system – Physical, Agentic, and Nested ▪︎ Dreamer 4 ▪︎ Genie 3 ▪︎ Cosmos WFM 2.5 Check this out for an in-depth overview of each:”” https://x.com/TheTuringPost/status/2004936183462416557
Actually translation was a triumph of pre-LLM AI: Machine translation increased international trade by 10%, literally having the same effect as shrinking the size of the world by 25%.”” https://x.com/emollick/status/2006012159122149515
Encode for machines, not for humans. @shawnshenjx, founder of @memories_ai and former Meta Reality Labs researcher, in our interview”” https://x.com/TheTuringPost/status/2004518794061050068
We’re talking more about physical intelligence now. But what can connect current VLMs to this desired physical intelligence? A fresh solution is human egocentric data. A new Egocentric2Embodiment pipeline converts first-person videos into structured, reliable question-answer”” https://x.com/TheTuringPost/status/2004696845763940382
Neuralink’s patient #9 controls a virtual hand using a brain-machine interface. She has been paralyzed with quadriplegia for approximately 20 years. Direct movement detection through neural spike readings enables the patient to control the wrist and individual fingers simply by”” https://x.com/TheHumanoidHub/status/2006420592631988254
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