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Buzz is a group chat platform for the workplace that puts humans and their AI agents in the same conversation.

Over the past decade, streaming platforms competed by dominating individual formats like music, video, podcasts, or audiobooks. Now, as AI makes it easier to create, organize, and recommend content, those distinctions are fading, pushing companies like Spotify, Netflix, YouTube, and TikTok to become all-purpose entertainment destinations instead.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. China’s AI models have Trump’s AI world at war with itself Last weekend, several current and former advisers to President Donald Trump on AI publicly lobbed insults at the country’s leading…

The conversation about AI often centers on algorithms, computing power, or huge investments in new semiconductor fabrication plants and hyperscale data centers. But beneath each of these advances is another layer of innovation that makes them possible: advanced materials. Every new generation of AI technology demands more processing power, more memory, greater energy efficiency, and…

arXiv:2607.16195v1 Announce Type: new Abstract: We identify a structured confound in Reinforcement Learning from Human Feedback (RLHF). Pairwise preference labels are intended to reflect the compared outputs, but they may also reflect the rater's state during annotation. Under sustained stressful or distressing conditions, raters' preferences may shift over time. As a result, preference data can encode rater state alongside judgments about response quality. These shifts differ from ordinary disagreement or random label noise. They are state dependent, can be shared across annotators working under similar conditions, and can propagate through reward modeling and policy optimization. We therefore propose rater state shift as a plausible and testable source of structured bias in RLHF preference data. This paper develops a hypothesis and an audit framework for studying this source of bias. We define rater state shift, rater state confound, and correlated rater state bias. We also define survival level emotional authenticity as a measurable response pattern using lexical, pragmatic, discourse, and safety related features. We analyze how correlated rater state bias can survive aggregatio

Google is adding more AI search data across Search Console and Merchant Center, but clicks, individual queries, and key reporting details remain missing. The post Google’s AI Search Data Is Growing, But The Gaps Remain appeared first on Search Engine Journal .

The post The New Google Business Profile Playbook for AI Local Search appeared first on Search Engine Journal .

AI visibility, trust verification, distribution engineering, human oversight, measurement rebuild: the five budget lines that should replace your legacy channel buckets in 2027. The post 2027 Marketing Budgets: Why New Categories Beat Bigger AI Line Items appeared first on Search Engine Journal .

Building "virtual analysts" as digital "team-mates".

Scaling AI, Agentic AI and Data Sovereignty & Compliance.

Eightcap uses AI to scale compliance across global markets.