Trump Administration
trump-administration-f70d96ce·3 events·first seen 25d agoAliases: Trump Administration
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Whose Voice Counts? Mapping Stakeholder Perspectives on AI Through Public Submissions to the U.S. Government
Researchers analyze public comment letters submitted to the Trump Administration's U.S. AI Action Plan consultation, applying topic modeling and frequency analysis to compare perspectives across stakeholder groups including academia, individuals, and the private sector. The study finds that individual submitters emphasize concerns about AI's societal impacts on daily life, while the final AI Action Plan predominantly reflects private sector priorities around security, policy, and development. A corpus cleaning pipeline is released alongside the findings. The work highlights a representational gap between public concerns and the resulting policy document.
Data Points: OpenAI shuts down Sora, Anthropic multi-agent harness, EVA voice benchmark, Arm AGI CPU, White House AI preemption proposal
OpenAI is shutting down its Sora text-to-video platform without explanation, ending a major Disney licensing deal worth up to $1 billion and eliminating video capabilities from ChatGPT amid Hollywood copyright tensions. Anthropic published details on a multi-agent harness enabling Claude to build full-stack applications over multi-hour sessions using a planner-generator-evaluator architecture. ServiceNow AI Research released EVA, an open-source two-dimensional benchmark for voice agents measuring both task accuracy and conversational experience quality. Additional items cover Arm's first self-designed data center CPU (AGI CPU) co-developed with Meta, and the Trump Administration's legislative proposal for a federal AI framework that would preempt state AI laws.
Anthropic publishes 'Build AI in America' energy and infrastructure policy report
Anthropic released a policy report calling for major U.S. investments in energy infrastructure to support frontier AI development, projecting that the U.S. AI sector will need at least 50GW of electric capacity by 2028. The report proposes two strategic pillars: building large-scale AI training infrastructure on federal lands with accelerated permitting, and broader nationwide AI deployment infrastructure including geothermal, natural gas, and nuclear expansion. Anthropic discloses internal projections that single advanced model training will require 2GW data centers in 2027 and 5GW in 2028, framing the recommendations in the context of competition with China's rapid energy buildout.