@teortaxesTex Should be all surfaces,According to the official document, a 1-second seedance video requires 20,000 for 720P and 40,000 tokens for 1080P.
@teortaxesTex Perhaps the most immediate reason is that the U.S. military doesn't even have enough fighter jets to do this splurge
https://t.co/fJdX7Li2BE
@teortaxesTex Even the US military cannot bring Iran to its knees after depleting all its reserves. The only way to make confronting China — whose manufacturing sector is 80 times the size of Iran's — feasible, therefore, is to convince the public that China is far weaker than Iran.
@teortaxesTex China’s already been dominating and shaping RoboCup for the past two years. Give it 20 years, and China can turn it into an even bigger hit than the human World Cup.🤖🦾
@Goodhumour2@AGIBOTofficial They had livestreamed eight hours of work from two robots before.I hope to see something more groundbreaking this time【【直播回放】全球首个具身智能工业产线并线,智元精灵G2 8小时作业实录,准确率达100%-哔哩哔哩】 https://t.co/pDPk18pNgX
@teortaxesTex Since AI is already an emerging industry rather than a nascent one that still hasn't figured out how to monetize and apply itself, it does not fall within the scope that requires special support and protection.
AGILE Foundation Model Redefines Integrated
Perception & Locomotion AGIBOT introduces AGILE — the AGIBOT Generative Intelligent Locomotion Engine — its latest integrated perception-locomotion foundation model. Empowered by visual awareness, AGIBOT X2 achieves seamless integration of perception and locomotion.
When robots truly perceive the world, locomotion becomes more intelligent.
#AGIBOT #Humanoid #AGILE #EmbodiedAI #PhysicalAI
Defining the Future of Motion: BFM-2 Foundation Model & The Era of Robot "Muscle Memory"
AGIBOT introduces BFM-2, a two-stage Motion-Between locomotion foundation model. It delivers autonomous, stable interpolation and closed-loop dynamic task execution across any state—static, preset, or random. The ultimate robust foundation for Embodied Intelligence.
#AGIBOT #Humanoid #BFM #EmbodiedAI #PhysicalAI
Defining the Future of Motion: BFM-2 Foundation Model & The Era of Robot "Muscle Memory"
AGIBOT introduces BFM-2, a two-stage Motion-Between locomotion foundation model. It delivers autonomous, stable interpolation and closed-loop dynamic task execution across any state—static, preset, or random. The ultimate robust foundation for Embodied Intelligence.
#AGIBOT #Humanoid #BFM #EmbodiedAI #PhysicalAI