21:31
Two Rival Bets on AGI: Google I/O Highlights
AI Explained's breakdown of Google I/O goes beyond product announcements to identify eight moments pointing toward deeper strategic n...
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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...
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...
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...
19:09
What Breaks When You Build AI Under Sovereignty Constraints – Bilge Yücel, deepset GmbH
Bilge Yücel, senior developer relations engineer at deepset GmbH — the company behind the open-source Haystack orchestration framewor...
20:12
Personalization in the Era of LLMs – Shivam Verma, Spotify
Shivam Verma, tech lead of the User Representations team inside Spotify's AI Foundation group, delivers a rare inside look at how the...
20:42
Google Spent a Year Stitching MCP, A2A, AG-UI Together. I/O Today.
Nate B. Jones from AI News & Strategy Daily uses Google I/O 2026 as a backdrop to map the six agent protocols that have emerged over...
15:27
AI Dev 26 x SF: Emma McGrattan: Engineering the Context Layer
Emma McGrattan, Chief Technology Officer at Actian and a 30-year veteran of the data industry, delivered a talk at AI Dev 26 x SF foc...
14:40
AI Dev 26 x SF | Marc Brooker: It’s Time to Be Right
Marc Brooker, VP and Distinguished Engineer at AWS, used his AI Dev 26 x SF keynote to argue that the single biggest lever for expand...
01:15:40
Build Agents That Run for Hours (Without Losing the Plot) — Ash Prabaker & Andrew Wilson, Anthropic
Ash Prabaker and Andrew Wilson, engineers on Anthropic's applied AI team, delivered a technical deep dive at the AI Engineer conferen...
05:55
The Hidden Rules Behind Going Viral on X (May 2026)
X has replaced its legacy rule-based feed system with a transformer model built on XAI's Grok architecture, and Alphastack's creator...
20:27
Harnesses in AI: A Deep Dive — Tejas Kumar, IBM
Tejas Kumar, AI developer advocate at IBM, delivers a methodical first-principles explanation of what agent harnesses are and why the...
27:46
5 Levers That Separate Winning AI Investments from Disasters
Nate B. Jones, writing for AI News & Strategy Daily, delivers a structured framework for enterprise leaders navigating agentic AI inv...
18:38
Why Your AI UX Is Broken (and It’s Not the Model’s Fault) — Mike Christensen, Ably
Mike Christensen, staff engineer at Ably, presents a detailed technical breakdown of why the default HTTP streaming model used in mos...
17:29
Fighting AI with AI — Lawrence Jones, Incident
Lawrence Jones, founding engineer at incident.io, explains how his team uses AI tooling to manage the growing complexity of their AI-...
17:39
Connecting the Dots with Context Graphs — Stephen Chin, Neo4j
Stephen Chin, head of developer relations at Neo4j, presents a technical case for knowledge graphs as the context layer that standard...