Ai

Serving Voice AI at $1/hr: Open-source, LoRAs, Latency, Load Balancing - Neil Dwyer, Gabber

Serving Voice AI at $1/hr: Open-source, LoRAs, Latency, Load Balancing - Neil Dwyer, Gabber

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.

Health Tech Founders: The Future of Care Is Personalized, Proactive—and AI-Powered

Health Tech Founders: The Future of Care Is Personalized, Proactive—and AI-Powered

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.

Building Secure ReactJS Apps: Mastering Advanced Security Techniques • Jim Manico • GOTO 2024

Building Secure ReactJS Apps: Mastering Advanced Security Techniques • Jim Manico • GOTO 2024

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.

He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor (Sierra)

He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor (Sierra)

Bret Taylor discusses the AI market's shift to autonomous agents and outcome-based pricing, the future of coding with AI, and strategic advice on GTM, pricing, and where to build in the new AI landscape. He shares career-defining lessons from Google, Facebook, and Salesforce.

No Priors Ep. 125 | With Senior White House Policy Advisor on AI Sriram Krishnan

No Priors Ep. 125 | With Senior White House Policy Advisor on AI Sriram Krishnan

Sriram Krishnan, Senior White House Policy Advisor on AI, outlines the America AI Action Plan, a strategy designed to ensure U.S. dominance in artificial intelligence. He discusses the three core pillars of the plan—infrastructure, innovation, and global standards—while also exploring the geopolitical race with China, the critical role of open-source models, and the need for America to own the full AI stack, from GPUs to applications.

The Unofficial Guide to Apple’s Private Cloud Compute - Jonathan Mortensen, CONFSEC

The Unofficial Guide to Apple’s Private Cloud Compute - Jonathan Mortensen, CONFSEC

A technical deep dive into Apple's Private Cloud Compute (PCC), exploring its novel architecture for running sensitive AI workloads with cryptographic privacy guarantees. The talk covers the core requirements, key components like remote attestation and transparency logs, and how these concepts can be applied by developers today.