Decart’s Dean Leitersdorf on AI-Generated Video Games and Worlds
Nov 13, 2024
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Dean Leitersdorf, Dean of Decart and a PhD from Technion, explores the groundbreaking potential of AI in gaming and immersive experiences. He discusses the innovative Oasis platform, which enables real-time interactions in virtual worlds using AI instead of traditional engines. Dean shares insights on achieving vertical integration for competitive advantages and navigating challenges in training AI models. The conversation also touches on the transformative impact of AI in creative fields and the seamless connection between imagination and screen engagement.
Generative AI is poised to revolutionize user interaction by creating real-time immersive experiences that seamlessly connect imagination with reality.
The development of Oasis eliminates traditional game engine barriers, enabling dynamic user-driven content creation through verbal commands and real-time modifications.
Deep dives
Revolutionizing Interaction with AI
The integration of generative artificial intelligence (AI) is set to transform how users interact with technology through real-time immersive experiences. By visualizing an interactive 'mirror,' users can engage with virtual objects and environments in ways that blend imagination with reality. This technology facilitates a seamless connection between users' thoughts and the digital realm, allowing for a rich user experience where actions translate directly to changes in the virtual world. Such advancements could unlock entirely new applications that redefine human-computer interaction and open up unexplored territories in digital engagement.
The Potential Beyond Traditional Game Engines
The development of Oasis plays a crucial role in the evolution of video models by eliminating the need for conventional game engines. Traditional game engines create a divide between developers and users, but the new AI-driven model enables direct interaction through verbal commands and real-time modifications. This shift allows users to not only change themes and characters on the fly but to interact with them in dynamic ways, significantly enhancing user creativity and engagement. If successful, it heralds a new era of rapid, user-guided content creation in gaming and other interactive media.
Tackling Challenges in AI Model Training
Achieving real-time inference in AI models requires overcoming substantial technical hurdles, including optimizing system performance and model training processes. The speaker highlights an innovative approach that successfully trains models much faster than industry norms, thanks to internal optimizations and efficient resource management. This process ensures that the model can function effectively amidst the current limitations of cloud computing, and it emphasizes the importance of reliability in AI model training. By addressing these challenges head-on, the organization is positioning itself as a leader capable of pioneering advancements in AI applications.
The Vision for Future Experiences
Looking ahead, the aim is to create a company focused on generating new experiences that leverage AI capabilities beyond traditional solutions. This involves moving toward a 'generated experiences' model that merges real-time interaction with high-level creative outputs. The vision encompasses a landscape where applications evolve to meet user demands for engaging and customizable interactions, particularly through platforms resembling social media ecosystems. By being vertically integrated and efficient in building these experiences, the company seeks to shape the future of digital engagement for consumers worldwide.
Can GenAI allow us to connect our imagination to what we see on our screens? Decart’s Dean Leitersdorf believes it can.
In this episode, Dean Leitersdorf breaks down how Decart is pushing the boundaries of compute in order to create AI-generated consumer experiences, from fully playable video games to immersive worlds. From achieving real-time video inference on existing hardware to building a fully vertically integrated stack, Dean explains why solving fundamental limitations rather than specific problems could lead to the next trillion-dollar company.
Hosted by: Sonya Huang and Shaun Maguire, Sequoia Capital
00:00 Introduction
03:22 About Oasis
05:25 Solving a problem vs overcoming a limitation
08:42 The role of game engines
11:15 How video real-time inference works
14:10 World model vs pixel representation
17:17 Vertical integration
34:20 Building a moat
41:35 The future of consumer entertainment
43:17 Rapid fire questions
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