Join Joshua Xu, founder of HeyGen, known for AI video creation serving 40,000 businesses, and Victor Lazarte from Benchmark, who discusses AI's transformative power. They dive into the future of AI-driven video, exploring innovations in content localization and personalization. The conversation highlights the significance of trust and safety in video production, the exciting roles of avatars in various industries, and the potential of tailored, engaging video experiences set to revolutionize storytelling and interaction.

Nathan Labenz, an expert navigating the evolving AI landscape, shares insights into its transformative potential across medicine, law, and automation. He emphasizes balancing excitement with caution, while discussing AI's implications for business efficiency and healthcare advancements. Labenz also tackles the socioeconomic challenges posed by AI, including labor market disruptions and the need for innovative solutions like Universal Basic Income. Throughout, he advocates for responsible AI development and global collaboration to ensure technology aligns with human values.

Riley Goodside, the world's first staff prompt engineer at Scale AI, discusses the evolution of prompt engineering towards programming. Topics include enterprise AI applications, pushing LLMs limits, and future AI automation.

Bernal Jiménez Gutierrez discusses HippoRAG, a unique approach to memory systems inspired by the brain. Topics include combining LLMs with associative memory, graph traversal techniques, memory biology vs AI systems, and exploring unsolved human capabilities in AI systems.

Explore the Guaranteed Safe AI Framework with authors Nora Ammann and Ben Goldhaber. Topics include transitioning to safer AI, using meta-ontology and Brave Search API in AI training, ensuring safety specifications in self-driving car systems, and instilling virtues in AI models for ethical behavior. Learn about interpretability in AI systems and the significance of collaboration in the field of AI.

Mike Knoop, Co-founder of Zapier, discusses the ARC Prize competition for efficient AI architectures and implications for AGI. Topics include intuitive problem-solving, hybrid AGI approaches, AI safety, puzzle data format, benchmark evolution, compute costs, efficiency in AGI, intelligence in problem-solving, language models, future of AGI, natural language programs, alternative neural network architecture

Chef Robotics CEO Rajat Bhageria discusses how AI and robotics are revolutionizing food assembly, focusing on imitation learning, data flywheel effects, and the vision of customizable meals. The podcast explores fine-tuning policies for noodles, automation processes, and growth strategies. Insights on the evolution of core AI strategies in robotics, challenges in food preparation robotics, and the future of autonomous kitchens are also covered.

Sander Schulhoff from LearnPrompting.org discusses prompt techniques for large language models, including few-shot prompting and AI trends. They explore AI course expansion, data pulling pipelines, and advanced prompting techniques. Challenges in structuring prompts, model training, agent prompting, and prompt optimization are also covered.

Siqi Chen, CEO of Runway, discusses building an intelligent business OS using AI, enhancing scenario planning, revenue forecasting, and model integration. Topics include AI's impact on finance, business operations, and society, as well as the challenges and future possibilities of advanced AI models.

Albert Gu, assistant professor at CMU and co-founder of Cartesia AI, discusses the groundbreaking Mamba architecture and the state space model revolution. They explore the evolution of state-space models, biological inspiration for model creation, memory control in models, and efficiency enhancements in Mamba 2. The conversation highlights the importance of state in state space models and the potential for further advancements in the field.