#Latent Space Podcast
8 articles with this tag
Jake Cooper on Railway's "Agent-Native Cloud"
Jake Cooper of Railway discusses the "agent-native cloud," focusing on efficient infrastructure, scalable systems, and the future of AI development.
Matt Pocock: Engineering Fundamentals Still Crucial in AI
Matt Pocock, author of 'AI Hero', emphasizes that engineering fundamentals are more crucial than ever for building robust AI systems.
Applied Intuition: AI for Safer Autonomous Systems
Peter Ludwig of Applied Intuition discusses how their platform accelerates the development of safer AI for autonomous vehicles and other physical systems.
Neo4j CEO Emil Eifrem on Graph Databases and AI
Neo4j CEO Emil Eifrem discusses the symbiotic relationship between graph databases and AI, highlighting how relational context is crucial for modern AI applications.
Notion's Sarah Sachs on AI Agents and the Future of Work
Sarah Sachs, AI Lead at Notion, discusses the company's vision for flexible AI agents, iterative development, and balancing powerful features with user accessibility on the Latent Space podcast.
AI Agents: The Future is Agents, Not Apps
Felix Rieseberg, Claude Cowork & Code Manager at Google, argues that the future of AI lies in agents, not apps, emphasizing orchestration and user control.
Pydantic AI's Samuel Colvin on Building Better LLM Agents
Pydantic AI founder Samuel Colvin discusses building LLM agents, highlighting type safety, code execution environments, and the future of AI tooling.
AI Agents: From "Slowly Accelerating" to "Faster": Latent Space Recap
Latent Space podcast guests Samantha Whitmore and Jonas Nelle discuss the evolution of AI agents, from basic tasks to complex reasoning and the importance of human collaboration.