Browsing: Generative AI

When a large language model pauses to ‘think,’ producing paragraphs of deliberation before it answers, most readers assume they are watching the model reason in real time. A new perspective article published in Nature Machine Intelligence argues that this assumption is fundamentally wrong. Mosh Levy, Zohar Elyoseph, Shauli Ravfogel and Yoav Goldberg, researchers affiliated with…

The first requests funding to address technical SEO debt, improve content architecture, and ensure that critical product information is accessible to search engines. Organic traffic has been declining, and the CFO wants to know why the company should continue investing in a channel that appears to be delivering diminishing returns.

A fleet of driverless delivery vans hums through a city at dusk. Orders are arriving at random, traffic is shifting by the minute, and every idle vehicle represents wasted money while every missed order represents a lost customer. Deciding which vehicle should serve which order, and when, is one of the hardest operational puzzles in…

Google’s Martin Splitt and John Mueller discussed the reasons why Search Console may display a “couldn’t fetch” error even though a website displays a valid XML sitemap. While Mueller acknowledged there sometimes may be a technical reason for that happening he also said that the actual reason is often a quality issue.

Google’s John Mueller says AI training crawlers usually don’t give site owners a way to submit a sitemap, and he suggests a default file name or an RSS feed for sites that want those crawlers to find their content.

Related reads:RuneScape Dev Really, Really Wants Its Players to Vote in Favor of Removing the Game’s Least Popular Microtransactions

To be useful, AI agents must understand and be constrained by contextual behavioral norms to ensure they act appropriately. Inspired by the theory of Contextual Integrity, our new workshop report outlines key open research directions across system, model, and user levels to build AI agents users can trust.

Google is entering a new phase of SERP scraping due to AI agents. Some of it may be driven by networks of LLMs that are reverse engineering Google’s search results. The public face of Google’s war against scraping remains rank trackers but the real battle may be elsewhere.

An AI answer mentions your brand. That looks like progress, but it does not tell you what to do next. A competitor may appear more often, the answer may describe an old version of your product, or important pages may never reach the bots collecting information.

At some point, most of us working in ecommerce have had that email. A client, a colleague, someone senior, asking why a product looks like it’s on sale when it isn’t. Or why an old product image is showing up in Shopping. Or why a campaign that looks fine on Google is getting rejected somewhere…