Human computer interaction

Useful General Intelligence — Danielle Perszyk, Amazon AGI

Useful General Intelligence — Danielle Perszyk, Amazon AGI

Danielle from the Amazon AGI SF Lab introduces a new paradigm for agent development called "Useful General Intelligence" (UGI). Instead of focusing on making AI smarter than humans, UGI aims to build AI that augments human intelligence and agency. This talk explores the cognitive science principles behind this vision and introduces Nova Act, an agentic model and SDK designed to reliably interact with computer UIs, turning the browser into a programmable tool.

ChatGPT study mode, shift from UX to AX and Cost of a Data Breach Report 2025

ChatGPT study mode, shift from UX to AX and Cost of a Data Breach Report 2025

Experts discuss the dual role of AI in education as a 'cognitive gym,' the shift from UX to Agentic Experience (AX) in software design, AI's application in historical research for decoding ancient texts, and the latest findings from the 2025 Cost of a Data Breach Report on AI-driven attacks and defenses.

How I became a StoryTeller (and how YOU can too)

How I became a StoryTeller (and how YOU can too)

Distinguished Scientist Sumit Gulwani shares his personal journey from a skeptical researcher to a passionate advocate for storytelling, revealing how narratives built on human connection are more powerful than statistics. He breaks down the science behind why stories work and provides a toolkit of practical techniques—from crafting a strong start to knowing your audience—to help technical professionals transform their communication, research, and even their lives.

OpenAI Just Released ChatGPT Agent, Its Most Powerful Agent Yet

OpenAI Just Released ChatGPT Agent, Its Most Powerful Agent Yet

The OpenAI team details the creation of a new, powerful AI agent in ChatGPT, achieved by unifying the Deep Research and Operator models. They cover its unified architecture with shared state across tools, the reinforcement learning techniques used for training, and the critical safety measures required for an agent that can take real-world actions.