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Arkansas Social Media Age Verification Law Blocked By Federal Judge

2 months 2 weeks ago
A federal judge struck down Arkansas' Social Media Safety Act, ruling it unconstitutional for broadly restricting both adult and minor speech and imposing vague requirements on platforms. Engadget reports: In a ruling (PDF), Judge Timothy Brooks said that the law, known as Act 689 (PDF), was overly broad. "Act 689 is a content-based restriction on speech, and it is not targeted to address the harms the State has identified," Brooks wrote in his decision. "Arkansas takes a hatchet to adults' and minors' protected speech alike though the Constitution demands it use a scalpel." Brooks also highlighted the "unconstitutionally vague" applicability of the law, which seemingly created obligations for some online services, but may have exempted services which had the "predominant or exclusive function [of]... direct messaging" like Snapchat. "The court confirms what we have been arguing from the start: laws restricting access to protected speech violate the First Amendment," NetChoice's Chris Marchese said in a statement. "This ruling protects Americans from having to hand over their IDs or biometric data just to access constitutionally protected speech online." It's not clear if state officials in Arkansas will appeal the ruling. "I respect the court's decision, and we are evaluating our options," Arkansas Attorney general Tim Griffin said in a statement.

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The Team That Will Implement Intel’s New Vision

2 months 2 weeks ago

Intel is hosting its Vision 2025 annual event in Las Vegas this week, what we old hands used to call Intel Developer Forum back in the days when the chip maker was taking over more and more of the datacenter and had give the world a relatively inexpensive and uniform substrate on which to build hyperscale infrastructure. …

The Team That Will Implement Intel’s New Vision was written by Timothy Prickett Morgan at The Next Platform.

Timothy Prickett Morgan

MCP: the New 'USB-C For AI' That's Bringing Fierce Rivals Together

2 months 2 weeks ago
An anonymous reader quotes a report from Ars Technica: What does it take to get OpenAI and Anthropic -- two competitors in the AI assistant market -- to get along? Despite a fundamental difference in direction that led Anthropic's founders to quit OpenAI in 2020 and later create the Claude AI assistant, a shared technical hurdle has now brought them together: How to easily connect their AI models to external data sources. The solution comes from Anthropic, which developed and released an open specification called Model Context Protocol (MCP) in November 2024. MCP establishes a royalty-free protocol that allows AI models to connect with outside data sources and services without requiring unique integrations for each service. "Think of MCP as a USB-C port for AI applications," wrote Anthropic in MCP's documentation. The analogy is imperfect, but it represents the idea that, similar to how USB-C unified various cables and ports (with admittedly a debatable level of success), MCP aims to standardize how AI models connect to the infoscape around them. So far, MCP has also garnered interest from multiple tech companies in a rare show of cross-platform collaboration. For example, Microsoft has integrated MCP into its Azure OpenAI service, and as we mentioned above, Anthropic competitor OpenAI is on board. Last week, OpenAI acknowledged MCP in its Agents API documentation, with vocal support from the boss upstairs. "People love MCP and we are excited to add support across our products," wrote OpenAI CEO Sam Altman on X last Wednesday. MCP has also rapidly begun to gain community support in recent months. For example, just browsing this list of over 300 open source servers shared on GitHub reveals growing interest in standardizing AI-to-tool connections. The collection spans diverse domains, including database connectors like PostgreSQL, MySQL, and vector databases; development tools that integrate with Git repositories and code editors; file system access for various storage platforms; knowledge retrieval systems for documents and websites; and specialized tools for finance, health care, and creative applications. Other notable examples include servers that connect AI models to home automation systems, real-time weather data, e-commerce platforms, and music streaming services. Some implementations allow AI assistants to interact with gaming engines, 3D modeling software, and IoT devices.

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