Aug 25, 2025

AI Agents: Transforming Anomaly Detection & Resolution

Martin Keen explores how agentic AI can significantly reduce IT downtime and Mean Time To Repair (MTTR) by moving beyond naive data dumps and embracing context-aware analysis. The key lies in using topology-aware correlation to curate relevant data for an AI agent, which can then systematically identify the root cause, provide explainable insights, and generate actionable remediation steps, ultimately augmenting human SREs rather than replacing them.

Aug 22, 2025

How Agents Changed Vibe Coding Forever

Sourcegraph CTO Beyang Liu discusses the evolution from chat-based coding assistants to autonomous AI agents like AMP. He explains how new models with tool-use and reasoning capabilities are creating a paradigm shift, moving developers from micromanaging AI to instructing it at a high level, dramatically increasing productivity by automating complex coding tasks.

Aug 22, 2025

Multi Agent AI and Network Knowledge Graphs for Change — Ola Mabadeje, Cisco

A product manager from Cisco's incubation group, Outshift, details a solution that uses a multi-agent AI system combined with a dynamic network knowledge graph to solve critical issues in IT change management. The system integrates with ITSM tools like ServiceNow to automate impact assessment, test plan generation, and pre-production validation in a "digital twin" environment, significantly reducing production failures.

Aug 21, 2025

Genie 3: An infinite world model with Shlomi Fruchter and Jack Parker-Holder

Professor Hannah Fry speaks with Jack Parker-Holder and Shlomi Fruchter about Genie 3, a general-purpose world model that generates diverse, interactive environments from prompts. The discussion covers its auto-regressive nature, which enables the creation of consistent, explorable worlds, its key differences from video models like Veo, and its foundational role in training AI agents and advancing toward AGI.

Aug 21, 2025

How Intercom rose from the ashes by betting everything on AI | Eoghan McCabe (founder and CEO)

Eoghan McCabe, founder and CEO of Intercom, shares the unfiltered story of transforming a multi-billion dollar, stagnating SaaS business into a rapidly growing, AI-first company. He details the necessity of 'founder mode,' a radical cultural overhaul, and why having nothing to lose is the ultimate advantage in the AI era.

Aug 19, 2025

How Reinforcement Learning can Improve your Agent

This talk addresses the unreliability of current AI agents, arguing that prompting is insufficient. It posits that Reinforcement Learning (RL) is the most promising solution, delving into the mechanisms of RLHF and RLVR. The core challenge identified is 'reward hacking', and the discussion explores future directions to overcome it, such as RLAIF, data augmentation, and the development of interactive, online models that can learn in real-time.