Stanford CS25: V5 I The Advent of AGI, Div Garg
Skills:
AI Alignment Basics60%
April 15, 2025
As superintelligence seems round the corner and frontier models continue to scale, a new wave of autonomous AI agents is emerging—systems capable of perceiving, reasoning, and acting in open-ended environments. These agents represent the first steps toward Artificial General Intelligence, promising to radically reshape how we interface with software and get things done in the world.
But the path to AGI is riddled with deep, unsolved challenges: brittle reasoning, drifting goals, shallow memory, and poor calibration under uncertainty. Real-world deployment quickly reveals how fragile today's agents truly are. Solving this isn't just about model improvements—it requires a rethinking of how we design, evaluate, and deploy intelligent systems - from rigorous evaluation metrics to tight user feedback loops for building systems that can reason, remember, and recover.
In this talk, Div Garg explores a human-inspired approach to agent design—drawing from his work at frontier agent research and product design in the real-world. From new agent evaluation standards, online reinforcement learning training methodologies to enabling agent-agent communication, this talk offers a glimpse into the emerging frontier: agents that don't just complete tasks, but coordinate, adapt, and evolve with users in the loop.
Speaker:
Div Garg is the founder and CEO of AGI, Inc, a new applied AI lab redefining AI-human interaction with the mission to bring AGI into everyday life. Div prev. founded MultiOn, the first AI agent startup developing agents that can interact with computers and assist with everyday tasks, funded by top Silicon Valley VCs. Div has spent his career at the intersection of AI, research, and startups and was previously a CS PhD at Stanford focused on RL before dropping out. His work spans across various high-impact areas, ranging from self-driving cars, robotics, computer control & Minecraft AI agents.
https://divyanshgarg.com/
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