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An AI lab advancing intelligence through world models

San Francisco
Joined November 2024
Photo by Skyfall AI (@skyfallai)Photo by Skyfall AI (@skyfallai)Photo by Skyfall AI (@skyfallai)Photo by Skyfall AI (@skyfallai)Photo by Skyfall AI (@skyfallai)Photo by Skyfall AI (@skyfallai)Photo by Skyfall AI (@skyfallai)Photo by Skyfall AI (@skyfallai)Photo by Skyfall AI (@skyfallai)
Meet the Research Team behind SKY-001 💙 Sign up for the waitlist if you haven't yet: skyfall.ai/sky-001
Meet the world-class research team behind SKY-001, the first Engineering World Model. Solving complex design and engineering problems in the physical world is orders of magnitudes more difficult than LLM agents using next token prediction. Our team at @skyfallai decided to take a different path than everyone else out there in order to achieve the research breakthrough. Last week, we shared how SKY-001 stacks up against frontier LLMs, showing the clear advantage World Models have on complex real-world tasks like engineering design. Here is a sneak peek video where you can learn directly from the researchers about what makes our approach unique, what training and data collection paradigms were used, and why we believe World Models are the next frontier in AI. I’m incredibly proud to work alongside this team.
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Skyfall AI retweeted
"Data is all you need." Agree or disagree? 👀
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We are living through a moment of extraordinary ambition right now where flying cars are no longer science fiction demos. Humanoid Robot adoption is accelerating and AI Powered Energy Systems as well as Space Infrastructure are all being pursued in parallel. Yet, almost all of these goals share the same constraint: the speed and cost (while maintaining quality) at which we can design and construct the physical systems still lags behind the speed of our ideas. My core belief is if these technologies are going to move from prototypes to staples of everyday life like electricity, we need a new form of Autonomous Intelligence: 1) That can understand complex physical structures with high precision and granularity 2) Plan millions of steps ahead across long horizons The same model that designs a robot joint should help design a drone, a PCB, a molecular structure and many more. That is the direction we are pursuing at @skyfallai. We’re building World Models that enable this kind of cross-domain intelligence, and we are turbocharging the effort with SKY-001, the first Engineering World Model. Let's revolutionize the Physical Universe 🚀
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Why a Hierarchical Visual World Model like SKY-001 is more suitable for designing complex engineering objects. 👇
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Skyfall AI retweeted
One of our researchers explains the kind of reasoning engineering design demands from a model.👇
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Join us at the frontier. skyfall.ai/sky-001
We are living through a moment of extraordinary ambition right now where flying cars are no longer science fiction demos. Humanoid Robot adoption is accelerating and AI Powered Energy Systems as well as Space Infrastructure are all being pursued in parallel. Yet, almost all of these goals share the same constraint: the speed and cost (while maintaining quality) at which we can design and construct the physical systems still lags behind the speed of our ideas. My core belief is if these technologies are going to move from prototypes to staples of everyday life like electricity, we need a new form of Autonomous Intelligence: 1) That can understand complex physical structures with high precision and granularity 2) Plan millions of steps ahead across long horizons The same model that designs a robot joint should help design a drone, a PCB, a molecular structure and many more. That is the direction we are pursuing at @skyfallai. We’re building World Models that enable this kind of cross-domain intelligence, and we are turbocharging the effort with SKY-001, the first Engineering World Model. Let's revolutionize the Physical Universe 🚀
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Skyfall AI retweeted
What makes our world model, SKY-001, a better choice for engineering design when it comes to visual constraints, compared to large language models? Hear directly from one of our MTS. 📌 full technical details in blog below
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"Data is all you need." Agree or disagree? 👀
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Training SKY-001 required overcoming core data scaling bottlenecks to satisfy rigorous industry standards across four technical fronts: - source of data - quality filtering - auditing - automation Hear directly from the research team on how they navigated these challenges.
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What makes our world model, SKY-001, a better choice for engineering design when it comes to visual constraints, compared to large language models? Hear directly from one of our MTS. 📌 full technical details in blog below
1
2
18
1,448
Skyfall AI retweeted
Meet the Research Team behind SKY-001 💙 Sign up for the waitlist if you haven't yet: skyfall.ai/sky-001
Meet the world-class research team behind SKY-001, the first Engineering World Model. Solving complex design and engineering problems in the physical world is orders of magnitudes more difficult than LLM agents using next token prediction. Our team at @skyfallai decided to take a different path than everyone else out there in order to achieve the research breakthrough. Last week, we shared how SKY-001 stacks up against frontier LLMs, showing the clear advantage World Models have on complex real-world tasks like engineering design. Here is a sneak peek video where you can learn directly from the researchers about what makes our approach unique, what training and data collection paradigms were used, and why we believe World Models are the next frontier in AI. I’m incredibly proud to work alongside this team.
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