Posts

Anthropic Economic Index, Virtual Agent Economies, AlterEgo and How People Use ChatGPT

Anthropic Economic Index, Virtual Agent Economies, AlterEgo and How People Use ChatGPT

A discussion on a new report detailing how people use ChatGPT, the global AI adoption trends from Anthropic's Economic Index, the future of AI agent economies, and the practicality of emerging AI wearables like AlterEgo and Meta's smart glasses.

Designing AI Agents for the Complex Realities of Healthcare

Designing AI Agents for the Complex Realities of Healthcare

Dr. Sarah Gebauer presents a clinical framework for deploying AI agents in healthcare, drawing a powerful analogy between AI agents and medical residents. She outlines the critical risks, validation strategies, and post-deployment monitoring required to make agents useful, safe, and credible in high-stakes clinical environments.

Sub-Population Identification of Multi-morbidity in Sub-Saharan African Populations

Sub-Population Identification of Multi-morbidity in Sub-Saharan African Populations

This talk explores a data science approach to identifying high-risk subpopulations for multimorbidity in sub-Saharan Africa, contrasting traditional hypothesis-driven analysis with a discovery-driven method that automatically uncovers non-obvious patterns in health data.

Why experts writing AI evals is creating the fastest-growing companies in history | Brendan Foody

Why experts writing AI evals is creating the fastest-growing companies in history | Brendan Foody

Brendan Foody, CEO of Mercor, discusses the critical role of AI evaluations (evals) in model improvement, detailing how his company achieved unprecedented growth by supplying high-skilled experts to top AI labs. He explores the shift to Reinforcement Learning from AI Feedback (RLAIF), the future of work in an AI-driven economy, and why he believes the path to AGI is paved with better evals, not just more data.

Upwork's Radical Bet on Reinforcement Learning: Building RLEF from Scratch | Andrew Rabinovich (CTO)

Upwork's Radical Bet on Reinforcement Learning: Building RLEF from Scratch | Andrew Rabinovich (CTO)

Andrew Rabinovich, CTO and Head of AI at Upwork, details their strategy for building AI agents for digital work. He introduces a custom reinforcement learning approach called RLEF (Reinforcement Learning from Experience), explains why digital work marketplaces are ideal training grounds, and shares his vision for a future where AI delivers finished projects, orchestrated by a meta-agent named Uma.

No Priors Ep. 132 | With Decagon CEO and Co-Founder Jesse Zhang

No Priors Ep. 132 | With Decagon CEO and Co-Founder Jesse Zhang

Jesse Zhang, co-founder and CEO of Decagon, discusses how their AI agents are revolutionizing customer service for large enterprises by replacing mundane human labor. He covers their go-to-market strategy, the importance of a hardworking in-office culture, his journey as a second-time founder, and the future of an agentic world where AIs interact on behalf of companies and consumers.