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AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg
@ NVIDIA
07/30/24
Takeaways
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Mark Zuckerberg
07/30/24
@ NVIDIA
Mark Zuckerberg has been at Siggraph for eight years, showcasing advancements in VR and mixed reality, including hand-tracking technology and photorealistic avatars.
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Mark Zuckerberg
07/30/24
@ NVIDIA
Generative AI is revolutionizing workflows and products at Meta, enhancing capabilities and creating new opportunities for content generation.
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Mark Zuckerberg
07/30/24
@ NVIDIA
Generative AI tools will not only enhance existing workflows but also enable the creation of entirely new types of content and interactions.
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Mark Zuckerberg
07/30/24
@ NVIDIA
AI will evolve to understand user intent and perform complex tasks over multiple time frames, moving beyond simple turn-based interactions.
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Mark Zuckerberg
07/30/24
@ NVIDIA
Meta's AI Studio will allow creators to build AI versions of themselves, enabling them to engage with their communities more effectively despite time constraints.
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Mark Zuckerberg
07/30/24
@ NVIDIA
The integration of AI in customer support will allow businesses to engage with customers more effectively, capturing institutional knowledge and improving service.
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Mark Zuckerberg
07/30/24
@ NVIDIA
The future of AI will involve diverse models that allow businesses and creators to customize their AI agents for specific tasks and interactions.
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Jensen Huang
07/30/24
@ NVIDIA
The open-source philosophy behind Llama and PyTorch aims to foster an ecosystem where every company can create their own AI, enhancing innovation across industries.
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Jensen Huang
07/30/24
@ NVIDIA
The introduction of Llama 2 activated a wave of AI development across various sectors, enabling companies and researchers to engage with AI more effectively.
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Jensen Huang
07/30/24
@ NVIDIA
The next generation of computing is expected to favor open ecosystems, similar to how Windows thrived over Apple's closed system in the past.
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Jensen Huang
07/30/24
@ NVIDIA
It's a great world where people are dedicated to building the best possible AIs and offering them as a service, while also allowing others to build their own AIs.
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Jensen Huang
07/30/24
@ NVIDIA
The idea that you could have great services, incredible services, as well as open services gives us the entire spectrum of options.
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Jensen Huang
07/30/24
@ NVIDIA
Using larger AI models to teach smaller models allows for the creation of specialized models that fit specific operating domains or cost requirements.
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Jensen Huang
07/30/24
@ NVIDIA
The way you built the model is transparent, supported by a world-class safety and ethics team, ensuring it's built properly.
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Mark Zuckerberg
07/30/24
@ NVIDIA
We're building AI because we want it to exist and to avoid being cut off from closed models, which requires an ecosystem around it.
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Mark Zuckerberg
07/30/24
@ NVIDIA
The open-source strategy is a good business strategy, as it fosters a robust ecosystem that enhances the quality of the products we build.
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Jensen Huang
07/30/24
@ NVIDIA
We created AI Foundry to help people build their own AIs, providing the necessary tooling and expertise to turn their ideas into AI services.
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Jensen Huang
07/30/24
@ NVIDIA
The output of our AI Foundry is a Neuro Micro NVIDIA Inference Microservice (NIM) that users can run anywhere, including on-premises.
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Mark Zuckerberg
07/30/24
@ NVIDIA
The ability to distill models from larger ones will be valuable, as companies will likely have AIs tailored for every function they need.
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Mark Zuckerberg
07/30/24
@ NVIDIA
In the future, we will see a proliferation of different AI models, with companies using the largest models for performance optimization.
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Mark Zuckerberg
07/30/24
@ NVIDIA
Smart glasses will become the mobile version of the next computing platform, while mixed reality headsets will serve as workstations for immersive experiences.
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Mark Zuckerberg
07/30/24
@ NVIDIA
We're working on technology for ideal holographic AR glasses, but they are still a bit far off from the current Ray-Ban models.
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Mark Zuckerberg
07/30/24
@ NVIDIA
The goal with Ray-Ban smart glasses is to create stylish designs while incorporating as much technology as possible, including cameras and microphones.
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Mark Zuckerberg
07/30/24
@ NVIDIA
The breakthrough with large language models (LLMs) has accelerated the development of high-quality AI, which is now advancing faster than holographic AR technology.
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Mark Zuckerberg
07/30/24
@ NVIDIA
The future of computing will involve stylish glasses that people want to wear, leading to a diverse ecosystem of designs and functionalities.
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Jensen Huang
07/30/24
@ NVIDIA
We're witnessing a fundamental transition in computing, moving from general-purpose computing to generative neural network processing, which opens up unthinkable applications.
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Jensen Huang
07/30/24
@ NVIDIA
Generative AI is influencing various fields, including climate tech, biotech, and physical sciences, making a profound impact on society.
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Jensen Huang
07/30/24
@ NVIDIA
I envision a version of myself as an AI that can assist people by answering questions and bouncing ideas off of, without judgment.