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Tags: AI standards

Commerce Department Removes Online Details of Microsoft, Google, xAI AI Safety Deal

Commerce Department Removes Online Details of Microsoft, Google, xAI AI Safety Deal
The U.S. Commerce Department deleted a web page that described an agreement in which Microsoft, Google and Elon Musk's xAI would submit their most advanced AI models to government scientists for security testing before public release. The page, first posted on May 5, vanished Monday afternoon and now redirects to the Center for AI Standards and Innovation, the agency that runs the tests. Neither the department nor the Trump White House offered an explanation, and the three companies have not commented. The removal comes amid shifting federal AI policy and ongoing debate over giving the government pre‑release access to frontier AI systems. Read more

Companies Struggle to Scale Agentic AI as Data Gaps and Governance Hurdles Mount

Companies Struggle to Scale Agentic AI as Data Gaps and Governance Hurdles Mount
Investment in agentic AI is soaring, with McKinsey projecting the market to jump from $5‑7 billion in 2024 to over $199 billion by 2034. Yet pilots are faltering: Gartner forecasts more than 40% of projects will be cancelled by 2027, and Qlik reports only 18% of organizations have fully deployed the technology despite 97% allocating budgets. Executives cite fragmented data, unclear ownership and weak governance as the primary roadblocks. Experts warn that without solid data foundations and clear accountability, the promise of AI‑driven business automation will remain out of reach. Read more

AI Companies Embrace Model Context Protocol as Emerging Industry Standard

AI Companies Embrace Model Context Protocol as Emerging Industry Standard
Leading artificial‑intelligence firms including Anthropic, OpenAI, Google, Microsoft, and Block are co‑operating around the Model Context Protocol (MCP), a framework that lets AI agents access external tools and data in a uniform way. Anthropic has donated MCP to the Linux Foundation, positioning it as an open‑source standard overseen by a neutral body. The collaboration aims to simplify integration, improve agent performance, and address security concerns, while laying groundwork for a marketplace of AI‑compatible services. Read more