Paco Nathan, founder of Derwen and expert in data and AI, dives into the evolving landscape of AI regulations post-AI Action Summit in Paris. The discussion highlights a shift towards prioritizing commercial benefits in the EU. Nathan also explores advancements in multimodal AI, including the Gemini model and real-time translation with Hibiki. The conversation addresses the competitive dynamics among major players like OpenAI and Google, and the challenges of integrating AI into existing user experiences, all while emphasizing the importance of innovation.

Discover the fascinating world of AI agents as the discussion dives into their evolving frameworks. Learn about GUI-based interactions and the importance of modular design. The challenge of real-world deployment and the need for safety measures are also highlighted. This insightful conversation advocates for accountability and standardization in the rapidly changing AI landscape.

Tom Smoker, co-founder of WhyHow.ai, shares insights on transforming unstructured data into structured knowledge. He discusses how knowledge graphs enhance AI retrieval, citing successful applications at LinkedIn and Pinterest. The conversation delves into the complexities of building these graphs and the balance between automation and intentional design. They also tackle the hallucination problem in AI, emphasizing the role of data clarity. Smoker argues for leveraging operational data to improve AI systems, showcasing the potential of graph-based methodologies.

In this conversation, Andrew Burt, CEO of Luminos AI—a startup focused on reducing AI liabilities—dives into the legal complexities surrounding AI adoption. He highlights the significant disconnect between rapid AI advancements and the slower pace of legal compliance. Topics include the challenges of regulation, bias management, and the stark differences in internal versus external app deployments. Burt underscores the importance of collaboration between technical and legal teams to navigate potential hurdles and ensure responsible AI integration.

Hjalmar Gislason, Founder and CEO of Grid, discusses the transformative power of AI in the world of spreadsheets. He highlights the limitations of traditional tools like Excel and Google Sheets, showcasing how Grid aims to revolutionize data accessibility through natural language processing. The conversation covers the evolution of spreadsheet programming, the need for trust in AI decision-making, and the upcoming release of innovative solutions that promise to blend classic spreadsheet clarity with cutting-edge functionality.

Paco Nathan, founder of Derwen and expert in data and AI, joins to discuss intriguing developments in AI and tech. They explore the intersection of immigration reform and H-1B visa regulations, emphasizing its effects on STEM graduates. The conversation shifts to recent innovations in AI hardware and challenges smaller teams face in accessing computational resources. Nathan also highlights the significance of multimodal models for interpreting diverse data and probes into the philosophical complexities of machine consciousness and human-AI relationships.

The conversation dives into the transformation of AI from a buzzword to a crucial business asset by 2025. Key topics include advancements in post-training optimization, self-correcting AI systems, and the impact of synthetic data. The challenges of navigating emerging regulations in the U.S. and Europe are discussed, alongside the importance of model agnosticism for AI teams. Additionally, there's a focus on the political ramifications of semiconductor controls and the role of AI in cybersecurity and real-time deepfake detection.

Generative AI is revolutionizing industries, but struggles with unstructured data create a significant bottleneck. Innovative tools are emerging to enhance data management and processing. As data shortages loom in 2025, the importance of high-quality data in model development becomes critical. Strategies like data curation and synthetic data are vital, alongside fostering strong partnerships, especially in regulated fields like finance and healthcare.

Robert Nishihara, co-founder of Anyscale and co-creator of the open-source AI compute engine Ray, dives into the evolution of AI toward a data-centric approach. He highlights the shift from static data handling to dynamic, quality-focused strategies. The importance of experimentation in large-scale development is emphasized, along with advancements in handling unstructured data, especially in video understanding. Nishihara also discusses the critical role of quality data in the post-training phase, debunking misconceptions about data requirements.

In this engaging discussion, Paco Nathan, founder of Derwen and a key player in Graph AI, dives into the evolving landscape of AI and technology. He breaks down the geopolitical implications of semiconductor export controls and the challenges in AI advancement. The conversation also highlights innovative applications of machine learning, from noise-canceling devices to a bot tackling spam calls. Additionally, Nathan addresses the rise of alternative social media platforms and the importance of a data-sharing culture in today's tech world.