Inhuman principal--agent problems, seemingly inconsequential changes toanagent'sincentives often lead to surprising, counter-intuitive, and counter-productive behavior (21). Consequently, we must ask when thismisalignment is costly: when is it counter-productive to optimize for an incompleteproxy?

Leveraging large language models (LLMs), an agent can utilize retrieval-augmented generation (RAG) techniques to integrate external knowledge and increase the reliability of its responses. Current RAG-based agents integrate single, domain-specific knowledge sources, limiting their ability and leading to hallucinated or inaccurate responses when addressing cross-domain queries. Integrating multiple knowledge bases into a unified RAG-based agent raises significant challenges, including increased retrieval overhead and data sovereignty when sensitive data is involved. In this work, we propose RopMura, a novel multi-agent system that addresses these limitations by incorporating highly efficient routing and planning mechanisms. RopMura features two key components: a router that intelligently selects the most relevant agents based on knowledge boundaries and a planner that decomposes complex multi-hop queries into manageable steps, allowing for coordinating cross-domain responses. Experimental results demonstrate that RopMura effectively handles both single-hop and multi-hop queries, with the routing mechanism enabling precise answers for single-hop queries and the combined routing and planning mechanisms achieving accurate, multi-step resolutions for complex queries.

Ten years ago, Tom Scott held up his phone camera and recorded a 90-second video about traffic lights on bridleways. In Britain, we have pelican crossings, toucan crossings and puffin crossings, he explained, "and then, because all those are named after flying things, we have this: a pegasus crossing. And that is a thing you might not know." And then, a day later, he posted another "thing you might not know", about Battersea heliport. The cadence settled down to one a week, but the videos kept coming.

As the ongoing conflict between Israel and Hamas and its devastating effects play out in real time on social media, users are continuing to criticise tech firms for what they say is unfair content censorship – pulling into sharp focus longstanding concerns about the opaque algorithms that shape our online worlds. From the early days of the conflict, social media users have expressed outrage at allegedly uneven censorship of pro-Palestinian content on platforms like Instagram and Facebook. Meta has denied intentionally suppressing the content, saying that with more posts going up about the conflict, "content that doesn't violate our policies may be removed in error". But a third-party investigation (commissioned by Meta last year and conducted by the independent consultancy Business for Social Responsibility) had previously determined Meta had violated Palestinian human rights by censoring content related to Israel's attacks on Gaza in 2021, and incidents in recent weeks have revealed further issues with Meta's algorithmic moderation. Instagram's automated translation feature mistakenly added the word "terrorist" to Palestinian profiles and WhatsApp, also owned by Meta, created auto-generated illustrations of gun-wielding children when prompted with the word "Palestine".

Microsoft is bringing advertisements to its new artificial intelligence-powered Bing search engine. "First, we want to drive more traffic to publishers in this new world of search. It is a top goal for us, and we measure success in part by how much traffic we are sending from the new Bing/Edge," Microsoft's corporate vice president Yusuf Mehdi said. Microsoft said it has already met more than 7,500 Microsoft Start partner brands to get feedback on how to distribute content to drive traffic and revenue. Microsoft Start is a service that offers personalised news from Microsoft's premium partner publishers.

As we look to the future to TV advertising, one thing is certain: Broadcast networks have had a difficult time fighting the powers of choice and it is this choice that has shaped a new television landscape where audiences can now enjoy a plethora of platforms. Competition for viewers has challenged traditional content owners and distributors as well as traditional advertisers, as all have experienced an erosion of audience. Broadcasters have had to "guarantee" ratings to keep their advertising rates, relying on a forecasted rating to demonstrate viewership of a particular show. Most efforts in forecasting, however, have not been reliable, let alone validated. From the simple empirical model, to regression models, to the even more sophisticated Bayesian model-averaging methods, several ratings forecasting providers have come and gone.

Getty Images is embracing artificial intelligence, starting with a way to help publishers pick photos. Today, the photo agency debuted a tool that uses AI to analyze a story and suggest photos that might go along with it depending on the text and content. The tool, called Panels, uses natural language processing--a term for how computers can learn to "read" human words, phrases and sentences--to then match a story based on keywords, images, captions and other criteria. Publishers also will then have access to custom filters and a self-improving algorithm to move around keywords or select images through a more human-driven process. Here's how it works: When someone enters in the URL for a story or copies and pastes in the text, Panels will analyze the words before suggesting people, places and things that appear in the story after weighing different options based on frequency and relevance.

WASHINGTON: For its updated news application, Google is doubling down on the use of artificial intelligence as part of an effort to weed our disinformation and help users get viewpoints beyond their own "filter bubble." Google chief Sundar Pichai, who unveiled the updated Google News earlier this month, said the app now "surfaces the news you care about from trusted sources while still giving you a full range of perspectives on events." It marks Google's latest effort to be at the center of online news and includes a new push to help publishers get paid subscribers through the tech giant's platform. According to product chief Trystan Upstill, the news app "uses the best of artificial intelligence to find the best of human intelligence -- the great reporting done by journalists around the globe." While the app will enable users to get "personalized" news, it will also include top stories for all readers, aiming to break the so-called filter bubble of information designed to reinforce people's biases.

Earlier this month, Google's Chief Executive Officer Sundar Pichai unveiled the new and improved Google News. According to Pichai, the app could now show "the news you care about from trusted sources while still giving you a full range of perspectives on events." The company is reportedly working on integrating artificial intelligence in its news app in an effort to eliminate disinformation and help people get more viewpoints that are beyond their so-called "filter bubble." The new initiative was said to be part of Google's goal to be at the center of online news. This also includes new efforts to help advertisers and publishers gain paid subscribers using the tech company's platform. Google's product chief Trystan Upstill also added that the Google News would make use of the "best artificial intelligence to find the best of human intelligence," which, according to Google, is the reporting done by local and international journalists.

For its updated news application, Google is doubling down on the use of artificial intelligence as part of an effort to weed our disinformation and help users get viewpoints beyond their own "filter bubble." Google chief Sundar Pichai, who unveiled the updated Google News earlier this month, said the app now "surfaces the news you care about from trusted sources while still giving you a full range of perspectives on events." It marks Google's latest effort to be at the center of online news and includes a new push to help publishers get paid subscribers through the tech giant's platform. According to product chief Trystan Upstill, the news app "uses the best of artificial intelligence to find the best of human intelligence -- the great reporting done by journalists around the globe." While the app will enable users to get "personalized" news, it will also include top stories for all readers, aiming to break the so-called filter bubble of information designed to reinforce people's biases.