19:22
AI Dev 26 x SF: Andrew Ng: The Future of Software Engineering
Andrew Ng takes the stage at AI Dev 26 San Francisco to share observations from his teams about AI-native software development and pr...
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14:17
AI Dev 26 x SF: Jean-Marie John-Mathews: Red Teaming LLM Applications Systematically
Jean-Marie John-Mathews, a researcher at JustCatch, presents a systematic approach to red teaming LLM applications at AI Dev 26 San F...
14:12
AI Dev 26 x SF | Pratik Verma: Observability Agent to Find & Fix Issues in AI Agents
Pratik Verma presents a practical framework for moving AI agents from impressive demos to production-ready systems at AI Dev 26 San F...
31:26
AI Dev 26 x SF | Nyah Macklin: The AI Said So? How to Build Auditable AI Agents Using Context Graphs
Nyah Macklin, a senior software engineer and researcher specializing in graph algorithms and AI governance, argues at AI Dev 26 San F...
13:53
The Most Popular AI Coding Skills Right Now
Web Dev Cody surveys the four most widely used AI coding \"skills\" — markdown instruction files that steer coding agents like Claude...
42:38
AI Dev 26 x SF | Paige Bailey: What’s New and What’s Next in AI
Paige Bailey, who leads engineering for developer relations at Google DeepMind, delivers a fast-paced live presentation at the AI Dev...
28:43
AI Dev 26 x SF | Adit Abraham: Better Agents with Better Data
Adit Abraham, CEO of Reductto, presents at AI Dev 26 x SF on one of the most underappreciated bottlenecks in enterprise AI deployment...
21:18
The thinking lever
Alexander Bricken from Anthropic's Applied AI research team delivers a detailed technical session on test-time compute — what Anthrop...
22:04
Build a proactive agent workflow with Claude Code
Anthropic's Applied AI team member Maya introduces Routines, a brand-new feature inside Claude Code designed to transform the tool fr...
24:09
Skill issue: Lessons from skilling up coding agents to use Langfuse – Marc Klingen, Clickhouse
Marc Klingen, co-founder of Langfuse — the open-source LLM observability and tracing platform — shares lessons learned from building...
21:01
From 46% to 90%: Fine-Tuning Tiny LLMs for On-Device Agents — Cormac Brick, Google
Cormac Brick, a tech lead on Google's AI Edge team, delivers a technical deep-dive into building on-device AI agents powered by tiny...
31:30
The Most Important AI News from Google I/O
The AI Daily Brief delivers an extended editorial analysis of Google I/O, situating the announcements within Google's five-year arc f...
05:53
China Chips Still Behind US, Nvidia in Performance: Baillie Gifford
In this Bloomberg Technology interview timed to Nvidia's Q1 2026 earnings, Baillie Gifford portfolio manager Paulina offers a detaile...
44:04
Nvidia Earnings in Focus; SpaceX Eyes Historic IPO | Bloomberg Tech 5/20/2026
Bloomberg Technology's live May 20, 2026 broadcast anchors around Nvidia's post-market earnings report, with analysts forecasting 80%...
04:48
Major Chatbots Miss the Mark on News: Forum AI Study
Forum AI CEO Campbell Brown joins Bloomberg Technology to present findings from NewsBench Wide, an independent benchmark evaluating m...
01:29:54
The Agent-Native Cloud: 3M Users, 100K Signups/Wk, Data Centers, & Death PRs — Jake Cooper, Railway
Jake Cooper, founder and CEO of Railway, joins Allesio and Swyx on the Latent Space podcast to discuss how his deployment platform ha...