We value your privacy and security By clicking “Sign in” you agree to our Terms of Service.This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Takeaways from the Zuck-Huang Chat at SIGGRAPH this Week
AI poised to become as ubiquitous as websites and social media, with Meta and NVIDIA leading the charge in democratizing AI development and enhancing human-AI collaboration.
Written by Shane Robinson
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
The CEOs of NVIDIA and Meta recently discussed the future of open-source AI and virtual assistants, envisioning AI becoming as ubiquitous as websites and social media for businesses.
Democratizing AI Creation:Meta launched AI Studio, a platform designed to make AI development accessible to millions of creators and small businesses.
AI Studio allows users to create, share, and discover AI characters, potentially opening up AI development to a wider audience.
Zuckerberg believes that in the future, every business will have an AI, just like they have email addresses, websites, and social media accounts today.
NVIDIA previewed “James,” an interactive digital human based on their Avatar Cloud Engine (ACE) reference design, capable of providing contextually accurate responses.
The company also presented updates to the NVIDIA Maxine AI platform, including Maxine 3D and Audio2Face-2D, which aim to create immersive telepresence experiences.
Meta’s Contributions to Open-Source AI: The discussion emphasized Meta’s significant role in advancing AI and their commitment to open-source development.
Meta has implemented AI across its platforms and released open-source models like Llama 3.1, which required training on over 16,000 NVIDIA H100 GPUs.
Huang praised Meta’s work in computer vision, language models, and real-time translation, as well as the widespread use of PyTorch, an open-source machine learning framework developed by Meta.
Collaboration and Integration: Zuckerberg expressed his vision for more integrated AI models and stressed the importance of collaboration for further advancements in AI.
He envisions a future where platforms like Facebook or Instagram could be powered by a single AI model that unifies various content types and systems.
Zuckerberg also mentioned Meta’s collaboration with eyewear maker Luxottica, hinting at the potential of combining AI with augmented reality eyewear to transform education, entertainment, and work.
Enhancing Human Productivity: The conversation touched on the potential of AI to enhance human productivity and create more fluid collaborations between humans and AI assistants.
Huang described a future where AI could generate images in real-time as users type, allowing for seamless interaction between humans and AI.
He also discussed the evolution of AI interactions, moving beyond turn-based conversations to more complex, multi-option simulations that could contemplate multiple options and simulate outcomes.
Looking Ahead: As AI continues to advance, the potential for it to transform various aspects of life, from business to education and entertainment, is becoming increasingly apparent.
The collaboration between industry leaders like NVIDIA and Meta highlights the importance of open-source development and the need for collective efforts to push AI forward.
While the future of AI is promising, it is crucial to consider the ethical implications and ensure that the technology is developed responsibly, with a focus on benefiting society as a whole.
NVIDIA and Meta CEOs: Every business will ‘have an AI’
Explore AI: Beginner’s Workshop on ChatGPT & Practical AI!
Jumpstart your AI journey in our hands-on workshop designed for beginners. Learn to harness the power of ChatGPT and practical AI applications with ease!
New tools and prize money are driving rapid advances in understanding animal vocalizations, though researchers caution against expecting human-like language structures.
Human-level mathematical reasoning in AI systems creates an urgent but brief window for safety researchers to formalize their approaches before capabilities advance further.
The government seeks to balance creator rights with AI development needs through new transparency rules and enhanced copyright controls for content owners.