More and more people are turning to chatbots to search the web.

But researchers are finding these systems can be gamed.

We wanted to understand more about how AI chatbot search results can be manipulated, so we called up someone who studies these things for a living: Xiyang Hu, an assistant professor at Arizona State University, where he leads the Generative Learning and Augmented Decision Lab.

``Someone Hid It!'': Query-Agnostic Black-Box Attacks on LLM-Based Retrieval — a study published for the International Conference on Machine Learning

Reddit comments are 'foundational' to training AI models, COO says — from Business Insider

Language Models Often Favor Their Own Text, Revealing a New Bias in AI — NYU Center for Data Science

Europe may have weeks of paid vacation, quaint walkable cities and incredible, affordable local wines. But there's something the continent lacks (besides ice cubes and AC): shiny, new Big Tech products.

Take Apple's revamped Siri, Meta's Muse or OpenAI's competing AI assistant dots. They've all launched in the U.S., and in some cases other markets. But largely, not in the EU, which has a network of tech regulations targeting data protection, interoperability and AI.

Max von Thun, director of the antitrust think tank Open Markets Institute Europe, explains more on this.

More on this:

“A Continent Without A.I. Agents: Europe Has to Wait for Dots, Muse and Siri AI” — from Trending Topics EU

“Europe’s AI Blues: US Companies Slow Deployment” — from Center for European Policy Analysis

The AI industry appears to be getting more serious about safety.

Leaders of top companies signed a non-binding agreement at the White House Sept. 30, laying out standards and best practices for responsible development of advanced AI. OpenAI delayed the release of its latest model due to safety concerns. And Anthropic CEO Dario Amodei called on the sector to slow things down and "pace the frontier."

Wall Street initially wasn't too happy about that push and stocks related to the AI buildout took a momentary tumble.

But Jordan Nanos, at the chip research and consulting firm SemiAnalysis, argues that greater investment in AI security could actually drive more demand for computing power.