Alexander Embiricos, product lead for OpenAI's Codex, discusses the vision of AI as a proactive software engineering teammate, the product decisions that led to its explosive 20x growth, and why the real bottleneck to AGI-level productivity is shifting from model capability to human review speed.
Experts analyze the 1X NEO humanoid robot's real-world viability and data challenges, delve into the complex copyright dispute between Japan's IP holders and OpenAI's Sora 2, and dissect the strategic implications of the new OpenAI and AWS partnership for AI infrastructure and multi-cloud strategies.
The OpenAI Sora team discusses the technology behind their video generation model, from the diffusion transformers and space-time tokens that enable object permanence to their vision for Sora as a world simulator capable of scientific discovery. They also cover their product philosophy, which prioritizes creative inspiration over mindless consumption, and their strategy for building a new creator economy with IP holders.
The OpenAI Sora team discusses the technology behind their video generation model, from the Diffusion Transformers and space-time tokens that enable object permanence to their vision for Sora as a world simulator for scientific discovery. They also cover the intentional product design of the Sora app, which optimizes for creative inspiration over mindless consumption, and their strategy for building a new creator economy with IP holders.
Developers from OpenAI showcase "Storyboard", a custom tool built in 48 hours that transforms creative workflows. They detail how, in partnership with a film production, they used AI-assisted coding to rapidly prototype a tool that takes artists from initial sketch to high-fidelity images and even full-motion video, drastically reducing production timelines.
Sam Altman discusses OpenAI's strategy, the path to AGI through world models like Sora, the importance of societal co-evolution with AI, and the massive infrastructure and energy requirements for future models. He covers topics from AI safety and regulation to monetization and the future of scientific discovery driven by AI.