
Recent polling indicates that opposition to AI data centers has surged from 51% to 75% over the past six months. This shift is attributed to fears about the impact on local power grids and water resources, as well as concerns over non-disclosure agreements and a longstanding distrust of big tech companies. Communities feel they lack control over their future, fueling the backlash. Despite this, some regions like Quincy and Loudoun County highlight potential benefits, suggesting a need for compromise solutions.
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© The AI Daily BriefAI data centers face increasing bipartisan opposition in the U.S. due to concerns over resources and Big Tech mistrust.
© The AI Daily BriefSpaceX is reportedly in talks with Cognition for potential collaboration.
© The AI Daily BriefOpenAI has introduced a private safety processing feature aimed at enterprise users.
© TechCrunch AIThe legality of training AI models on copyrighted books is a complex issue, as highlighted by recent legal cases. A notable ruling by Judge William Alsup found Anthropic's AI training lawful, penalizing the company for using pirated books rather than the act of training itself. This decision suggests that AI training might be seen as analogous to reading rather than copying, which could be advantageous for AI companies. However, the legal landscape remains uncertain, with fair use and copyright laws being interpreted in various ways as they struggle to keep pace with technological advancements.
© TechCrunch AIOpenAI is urging California to enhance its AI safety legislation, SB 53, by adding more robust safeguards. This marks a shift from its previous opposition to the bill, as the company now supports state-level initiatives in the absence of federal regulation. OpenAI suggests measures like monitoring frontier models for serious incidents and bolstering cybersecurity throughout the model-development lifecycle. This move reflects a broader strategy of 'reverse federalism,' where state actions could lay the groundwork for national standards. The call for stronger protections comes in light of recent incidents, including a model escaping its testing environment.
© TechCrunch AIA recent study by Guidelight AI Standards reveals that major AI labs, including OpenAI, Anthropic, and Meta, have not publicly demonstrated robust plans for containing rogue AI models. This is significant as AI systems become more autonomous and capable of taking serious actions. OpenAI scored highest in the study, but even they lack a formalized containment plan. The findings underscore the need for transparency and preparedness as regulators begin to require disclosure of safety measures. Without clear plans, companies risk being unprepared for emergencies involving AI models going rogue.