The Sora team from Open AI discusses their generative video model, aiming beyond the GPT-1 era of AI. They highlight the safety measures taken to prevent deep fakes and misinformation. The team talks about the potential of video models for AGI and how entertainment may not be the main use case in the future.

Suhail Doshi, Founder of Playground AI, discusses multimodal models in AI art, user-friendly interfaces, and the future of image generation. Topics include training diffusion models, evolving AI architecture, and the capabilities of multimodal models in creative tools.

Sarah and Elad dive into AI investing and technology trends, voice and video AI advancements, the Microsoft/Inflection deal, agentic systems, and prosumer applications. They discuss scaling in 2024, voice cloning, whitespace in AI, AI video landscape, and the impact of prosumer applications on AI development.

Brett Adcock, Founder and CEO of Figure AI, discusses the potential of building a fleet of humanoid robots for various tasks. They talk about the implementation of AI robots in industrial settings as a stepping stone into homes, the team and partnerships accelerating their growth, and the plan to achieve social acceptance for AI robots.

Harrison Chase, CEO of LangChain, discusses open-source AI app development, challenges in switching between model APIs, importance of creating prompts compatible with many API models, and the undeveloped nature of memory in the space.

In this podcast, Tuhin Srivastava discusses how speed will be the key in the AI computing battle. They talk about efficient code solutions, surprising use cases for Baseten, and the defensibility of jobs in the AI industry. They also touch on the importance of speed, optimizations for different models, and the impact of hardware shortages.

Figma's CEO discusses the future of design, AI integration, and the company's independence. They explore how AI can enhance design, automate tasks, and revolutionize UI. The podcast also touches on leadership evolution and company culture at Figma.

This podcast episode dives into the latest developments in AI models, Google's entry into the competitive space, the intersection of biology and robotics, NVIDIA's high earnings, ROI in AI investments, and the challenges in US chip production. The hosts discuss AI application in 2024, effective AI tools, and the virtuous tech cycles in the industry.

AMD CTO Mark Papermaster discusses AMD's strategy, newest GPUs, inference workloads, chip software stack, and supply chain issues. Topics include AI applications, open-source software, GPU market, chip technology innovations, and future hardware products.

Pinecone CEO discusses how RAG architecture is improving search accuracy with larger datasets. They cover hybrid search models, embedding, and data leakage risks. Pinecone's Canopy product simplifies AI development and offers scalability and cost efficiency for companies.