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Unlike LLMs, we can’t scrape the internet for robot data Announcing Project Go-Big: we’re building the world's largest humanoid pretraining dataset This is accelerated by our partnership with Brookfield, who owns over 100,000 residential units

Figure

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616,555 次观看 • 10 个月前 •via X (Twitter)

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Figure is aiming to develop the world’s largest and most diverse real-world humanoid pretraining dataset. For this purpose, they’re partnering with Brookfield, a global asset manager overseeing $1 trillion in assets, including 100,000 residential units, 500M square feet of commercial office space, and 160M square feet of logistics space. The data collected from this collaboration will be used to train Figure’s Helix AI model, enabling humanoids to perform tasks autonomously in real-world environments designed for humans. In addition to data collection, the partnership will explore support for next-generation GPU data centers, real estate for robotic training environments, and commercial use cases across Brookfield’s global footprint.

Figure is aiming to develop the world’s largest and most diverse real-world humanoid pretraining dataset. For this purpose, they’re partnering with Brookfield, a global asset manager overseeing $1 trillion in assets, including 100,000 residential units, 500M square feet of commercial office space, and 160M square feet of logistics space. The data collected from this collaboration will be used to train Figure’s Helix AI model, enabling humanoids to perform tasks autonomously in real-world environments designed for humans. In addition to data collection, the partnership will explore support for next-generation GPU data centers, real estate for robotic training environments, and commercial use cases across Brookfield’s global footprint.

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It's been incredible to see neural networks working so well on our humanoid robots Humanoids are crazy complex - an individual motor can rotate 360 degrees and you have 40+ joints. If you do the math, that means more possible robot states than atoms in the universe Figure has our own AI model called Helix that we've designed in-house. A single Helix neural network now outputs both manipulation and navigation, end-to-end from language and pixel input Every leap in machine learning has come from massive, diverse datasets. At Figure, we’re currently building the largest pretraining dataset for humanoids in history - excited to see what this unlocks

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OSINTdefender At Tianjin Winter Gala Festival in China, a Unitree H1 humanoid robot malfunctioned and unexpectedly lunged toward a spectator who had extended their hand for a handshake. This is what our tech elite are racing toward: machines we can’t control, built by regimes we don’t trust.

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There is nothing more terrible than war, and we, Ukrainians, those who stayed in our homes, know this for sure, not from the news. Odesa, a strike on a residential building after sunset.

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25,117 次观看 • 1 年前

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Jim Fan

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22,406 次观看 • 1 年前

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wingbits

243,961 次观看 • 1 年前

Today, we’re announcing our $160 million Series D funding, led by Kleiner Perkins, with participation from Sequoia Capital, Thrive Capital, J.P. Morgan, and Khosla Ventures. 35,000+ financial professionals. 250+ institutions. One platform, purpose-built for finance. Thank you to our clients, our team, and our investors for their support as we continue building to raise the ceiling for what finance can accomplish.

Today, we’re announcing our $160 million Series D funding, led by Kleiner Perkins, with participation from Sequoia Capital, Thrive Capital, J.P. Morgan, and Khosla Ventures. 35,000+ financial professionals. 250+ institutions. One platform, purpose-built for finance. Thank you to our clients, our team, and our investors for their support as we continue building to raise the ceiling for what finance can accomplish.

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124,925 次观看 • 3 个月前