David Luan, CEO and co-founder of Adept, shares insights from his experience at OpenAI and Google Brain. He argues that the performance of foundation models isn't diminishing and predicts a consolidation to just 5-7 leading providers. Luan discusses the evolving relationship between AI models and computing hardware, suggesting that companies like Nvidia must adapt to remain competitive. He also delves into the transformative nature of intelligent agents versus traditional automation, and the future implications of AI on pricing models and user capabilities in the workplace.

David Luan, Co-founder and CEO of Adept, previously led efforts at Google and OpenAI. He shares fascinating insights about why Google lagged in creating GPT-3 despite their early lead in AI research. Luan discusses the shift from reinforcement learning to transformer models, emphasizing the significance of multimodal agents for achieving artificial general intelligence. He also highlights how Adept's AI agents aim to revolutionize productivity, seamlessly integrating into workflows to enhance human capabilities in software tasks.

David Luan, Head of Amazon's SF AGI Lab and former VP at OpenAI, shares insights from his storied career in AI. He discusses the market implications of DeepSeek, the challenges in building AGI, and the need for more efficient AI models. David highlights the future of AI agents, emphasizing the importance of reliable interactions between humans and machines. He also reflects on team culture in AI development, the evolution of collaborative research, and the traits that distinguish exceptional researchers in this rapidly changing field.

Stanford HAI's Fei-Fei Li, Inflection's Mustafa Suleyman, and Adept's David Luan discuss ethical concerns in AI, including education, human-centered development, guardrails for user safety, and shaping the future with Generation AI.

David Luan, Adept CEO, discusses building multimodal agents for human collaboration. He shares insights on AI functions in software, the shift to AGI through product building, and Adept's human-centric approach. Topics include agent architecture, data collection intelligence, and future agent-based systems in computing.