Brooke Hopkins, founder of Coval, discusses how evaluation methodologies from the autonomous vehicle industry, particularly from her experience at Waymo, can be adapted to build reliable, scalable, and trustworthy voice and conversational AI systems.
Founders from Function Health and Slingshot AI discuss building consumer health products by shifting from digital-only context to a 'Human Experience' that brings biological and psychological data online. They explore new engagement paradigms beyond DAU, the role of AI in augmenting rather than replacing doctors, and the ethical imperative of preserving user autonomy.
Sean DuBois (OpenAI, Pion) and Kwindla Hultman Kramer (Daily, Pipecat) argue that to build successful real-time AI applications, developers must start from the network layer up, prioritizing WebRTC over WebSockets to manage latency effectively and enable advanced features like interruption and state management.
An in-depth look at Gabber's experience deploying the Orpheus text-to-speech model to production, covering latency optimization, high-fidelity LoRa-based voice cloning, and a cost-effective inference stack using vLLM and a consistent hash ring for load balancing.
Bryan Kim from a16z, Jonathan Swerdlin from Function Health, and Daniel Cahn from Slingshot AI / Ash discuss how AI is revolutionizing healthcare and mental health by focusing on deep human context rather than just digital behavior. They explore building consumer trust, augmenting rather than replacing professionals, and creating new engagement models like "hourly active use" for a more accessible, continuous, and personalized future of care.
A deep dive into ReactJS security, this presentation reframes the discussion around leveraging AI for secure code generation. It argues that by creating detailed, specific security prompts, developers can train AI to be an expert security coder, transforming it from a flawed tool into a powerful ally for building robust and secure applications.