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22 stories for “Search Agents”Page 2 of 2
AI Discovery

Google Lighthouse 13.5 Adds AI Agent Resource Discovery Audit

Google's Lighthouse 13.5 introduces an experimental audit for Agentic Resource Discovery (ARD), a proposed specification that enables AI agents to locate tools and services offered by a website. The audit is grouped under a new "Agent Discoverability" heading alongside the existing llms.txt audit, and is expected to roll out in Chrome 156 DevTools and PageSpeed Insights within two weeks.

3 min read
Content Operations

Shopify CEO Coins "Slop Grenade" to Describe Unreviewed AI Output Passed Between Coworkers

Shopify CEO Tobi Lütke has named a new workplace phenomenon born of AI overuse: the "slop grenade," referring to AI-generated output handed to a colleague without being read first. Speaking on The Knowledge Project podcast released September 15, 2026, Lütke warned that lazy AI use has shifted work rather than eliminated it, with coworkers bearing the review cost. The comments arrive roughly 17 months after Lütke made AI use a baseline expectation at Shopify, and amid rising third-party data showing growing freelance demand for AI output correction.

4 min read
AI Discovery

Google DeepMind's Dream-RSI Lets AI Agents 'Dream' Their Way to Cheaper, Faster Search

Google and DeepMind researchers have introduced Dream-RSI, a technique that allows AI agents to test alternative search strategies by replaying recorded past attempts rather than running costly new computations. Benchmarked on Gemini 3.1 Pro and Gemini 3.7 Flash across eight tasks, the method matched or outperformed baselines while sharply reducing the number of live attempts required.

3 min read
AI Discovery

AI Citation Study: Source Order Matters Less Than Raw Data Suggests

A new arXiv preprint testing GPT-5.4's citation behavior found that while top-ranked sources are cited far more often in raw data, deliberately swapping source order produced a much smaller and statistically insignificant effect — suggesting observed position gaps largely reflect content quality rather than rank alone. Structured formatting showed a modest but inconclusive citation lift, and model randomness caused citation decisions to flip in roughly one in seven reruns.

5 min read
AI Discovery

Yandex Practical ML Conf Showcases NEEDLE Search Benchmark and Ouroboros Self-Committing Coding Agent

At Yandex's Practical ML Conf on September 19, 2026, two talks in the 'Network' hall presented NEEDLE — a proposed online benchmark for search engine APIs used by agents — and Ouroboros, a coding agent with a constitution, memory, and the ability to commit to its own repository. Both talks were broadcast live and free on YouTube, though neither project has yet published a full methodology or repository.

3 min read