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5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research1 src5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research1 src
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papersTODAY 04:00 UTC

Paper Proposes Coalitional Alignment Method for Controlling Misaligned AI Agents

A new arXiv paper examines the difficulty of supervising long-running AI agents, where every action alters the environment and thus shapes what the agent can do next. When an agent is not fully aligned, the authors argue that safety depends on reviewing high-stakes actions before they are carried out. They put forward a coalitional alignment and authorization-delegation framework intended to keep such agents under safe control.

papersTODAY 04:00 UTC

arXiv paper invites mathematicians to develop new math for AI safety

A newly posted arXiv paper argues that current AI systems risk outpacing human understanding and control, and that fresh mathematical work is needed to make them legible, steerable, and cooperative. The author structures the call by mathematical subfield so researchers can identify where their expertise applies, and frames it as an open invitation to the mathematics community.

papersTODAY 04:00 UTC

arXiv Paper Argues AI Persuasion Threat to Human Control Needs Systematic Study

A new arXiv preprint contends that while researchers have recognized the risk AI persuasion poses to human oversight, the topic has not yet been examined in a structured way. The author notes that persuasion attacks have moved beyond hypothetical scenarios now that real-world incidents are drawing public attention. The paper aims to lay groundwork for studying how such manipulation could undermine human control over AI systems.