🔎 A paper that pinpoints the hidden reason RL training for search agents stalls partway. Title: Harness-G: A Graph-Structured Harness for Search Agents URL: ❓ Why does training collapse? 💡 It's "retrieval-equivalence collapse." The policy keeps generating differently-worded queries that fetch the same evidence, so same evidence → same answer → same reward, within-group advantages vanish, and the training signal dries up. ❓ How does Harness-G fix it? 💡 It stops free-form query generation and turns it into menu selection over a paragraph-sentence-entity graph built from the corpus. The policy picks action IDs, not strings. Being finite, verifiable, and previewable, it preserves diversity in what actually gets retrieved. ❓ What is the credit assignment (SNC)? 💡 A frozen answerer previews how much an action raises the gold-answer probability, scored against alternatives (frontier-relative). Non-myopic payoffs like "find the bridge entity first" propagate back through provenance edges (enablement). No extra rollouts needed. ❓ Does it work? 💡 Across six QA benchmarks it beats Graph-R1 by +10.74 at 1.5B and +3.98 at 3B, best at both scales, especially on multi-hop, with $0 API cost to build the graph. #SearchAgents# #ReinforcementLearning#

Big day at #GoogleIO#! Bringing together the best of a search engine + the best of AI to help you ask what's really on your mind: + New intelligent Search box + seamless AI Search + Information agents + Antigravity in Search + Universal Cart My run down on what we shared below 👇 💬 New intelligent Search box & seamless Search experience: This is our biggest upgrade to our iconic Search box since its debut 25 years ago! Now, it expands as you type, you can ask questions across modalities (with text, images, files, Chrome tabs, videos), and it offers AI-powered suggestions to help you formulate your *whole* question. We’re also making it simpler to continue the conversation with Search, bringing AI Overviews and AI Mode into a seamless AI Search experience. So you can flow from your question, to your response on the main Search Results Page, to follow-ups in AI Mode. 👀 Information agents to keep you updated on whatever you’re looking for: We’re entering the era of Search agents! To start, you can set information agents to work for you in the background, searching 24/7 to find you exactly what you’re looking for so you can get updated the moment it changes. Your information agents give you intelligent, synthesized updates and hyper-relevant links, so you can discover fresh content from websites and creators and stay on top of whatever matters to you most. 🔍 Bringing Antigravity into Search: We’re bringing Gemini 3.5 Flash’s agentic coding capabilities and Antigravity right into Search. So Search can now custom-code responses, on the fly, totally personalized to your question. You can get interactive visuals to help you understand a tough concept. And you can even ask Search to build you dynamic tools, dashboards, or planners for long-running projects you want to keep coming back to. 🛍️ Introducing the Universal Cart: We've been building the foundation for agentic shopping with the world’s most comprehensive catalog of products in our Shopping Graph, a common language for agents and systems with the Universal Commerce Protocol (UCP), and the payments infrastructure to make agentic checkout seamless. Now we’re introducing the Universal Cart, an intelligent shopping cart that enables you to shop across merchants and will be available across Search, Gemini app, YouTube, and Gmail. With over 1B monthly active users on AI Mode, overall Search queries in Q1 reaching an all-time high, and the new frontier capabilities we announced today, it’s clear that AI is fueling Search’s next wave of growth.