Marc Dupuis, CEO of fabi.ai, argues that AI tools will elevate, not eliminate, data scientists by automating routine coding and enabling a focus on higher-value tasks. He advocates for building automated workflows that meet stakeholders in their native tools like Slack, delivering far greater ROI than traditional dashboards, and shares core principles for designing effective AI-first products.
Mati Staniszewski, CEO of ElevenLabs, discusses the company's strategy for rapidly shipping research-grade AI. He covers their organizational structure of small, autonomous teams, a global and remote-first hiring philosophy, the transition from a creator-focused product to an enterprise platform, and the lessons learned in navigating complex licensing and scaling a go-to-market team.
A deep dive into how fine-tuned Small Language Models (SLMs) and RAG systems can be combined to create personalized AI agents that learn user-specific workflows, emulate decision-making, and collaborate with humans, moving beyond conversational interfaces to direct action within enterprise environments.
David Sacks details the Trump administration's strategy for AI and crypto, focusing on unleashing permissionless innovation, combating regulatory capture, and winning the global AI race through infrastructure and open source, while warning against the rise of "Orwellian AI."
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AI's "dirty secret" is its deep reliance on human intelligence. Phelim Bradley, CEO of Prolific, explains how his platform provides the critical human data infrastructure for training and evaluating frontier models, emphasizing the shift from commoditized labor to a sophisticated marketplace of verified expertise.
A discussion with Marc Andreessen and Ben Horowitz on the true nature of AI creativity, the limitations of intelligence in leadership, why the current AI boom is not a bubble, and the coming platform shifts and geopolitical race in robotics.