🚀 Exciting new developments from @JoinSapien!
#Sapien is in its final sprint with big news—Anto Patrex will be joining the advisory team, bringing his CosmicBrain expertise! 🌟 Unlike Dovey Wan's role as a "Digital Asset Evangelist," Anto focuses on "World Foundation Models (WFMs)," which are crucial for training robots and advancing factory automation.
His experience as a "Physical World AI Architect" opens up new technical possibilities for #Sapien. ✌️
The founding team of #CosmicBrain boasts backgrounds from renowned organizations such as Google, xAI, and NASA, demonstrating a strong technical foundation.
Their advanced model promises significant performance improvements, claiming up to 100x faster hardware training, high-fidelity physics simulation, and the ability to generate realistic scenes from text or video (Text2World/Video2World). Furthermore, they have developed scalable models (4B-13B) to adapt to diverse hardware environments. 👍
In terms of industrial development, CosmicBrain is actively expanding into the international market, recently securing an AI talent partnership agreement with Uzbekistan. Their technology has been integrated into Alibaba Cloud's PAI platform, highlighting their strong commercial implementation capabilities.
In public speeches, Anto Patrex candidly discussed the limitations of current AI ("Current AI is just too dumb") and highlighted the energy crisis as a significant constraint on AI development. This pragmatic approach is likely something Sapien values when selecting advisors.
The collaboration between CosmicBrain's physics-based AI models and NVIDIA's Cosmos technology ecosystem could create exciting synergies. As a company focused on AI training data, Sapien and CosmicBrain have significant potential for deep collaboration on robotics training datasets. However, notable challenges include high energy consumption for model computation and the current small team size:
📌 CosmicBrain's 13B model takes 150 seconds to infer on an H100, potentially limiting its application in real-time scenarios.
📌 Industrial environments require a high degree of customization and deep integration with specific device protocols (e.g., PLC, ROS), and current case studies are limited.
The addition of Anto Patrex complements Sapien's core expertise in physical AI simulation and robotics training. The short-term collaboration will focus on optimizing synthetic data generation, while mid- to long-term goals may include joint development of physics-based industrial automation solutions. However, overcoming bottlenecks in real-time performance and industry adaptability will be crucial. This move also reflects #Sapien's strategic intent to expand its embodied AI training infrastructure.
Let's train and profit together; success is within reach!
💪👀 Join now at https://t.co/qd6oAltzEk
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