AI Impact Summit 2026: How we’re partnering to make AI work for everyone
An overview of Google’s new global partnerships and funding announcements at the AI Impact Summit…
Category: Machine Learning
AI Impact Summit 2026
A look at the partnerships and investments Google announced at the AI Impact Summit 2026.
Personalization features can make LLMs more agreeable
The context of long-term conversations can cause an LLM to begin mirroring the user’s viewpoints,…
Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment
Query Auto-Completion (QAC) is a critical feature of modern search systems that improves search efficiency…
Our 2026 Responsible AI Progress Report
A look at our 2026 Responsible AI Progress Report.
AI, A2A, and the Governance Gap
Over the past six months, I’ve watched the same pattern repeat across enterprise AI teams.…
Models That Prove Their Own Correctness
How can we trust the correctness of a learned model on a particular input of…
Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents
Developing autonomous agents that effectively interact with Graphic User Interfaces (GUIs) remains a challenging open…
Asynchronous Verified Semantic Caching for Tiered LLM Architectures
Large language models (LLMs) now sit in the critical path of search, assistance, and agentic…
Conductors to Orchestrators: The Future of Agentic Coding
This post first appeared on Addy Osmani’s Elevate Substack newsletter and is being republished here…