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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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papersSEP 10 04:00 UTC

New arXiv paper introduces Programmable Cellular Automata framework

A preprint titled 'Programmable Cellular Automata' has been published on arXiv and cross-listed in the AI and machine learning categories. The work presents cellular automata as a local computation model in which intricate dynamics emerge from simple units interacting with their neighbors. The authors point to uses in areas such as biological processes and traffic simulation.

papersSEP 10 04:00 UTC

PeriodicCALM: real-time anomaly detection for cyclostationary data streams

A new arXiv preprint presents PeriodicCALM, a framework for detecting anomalies on the fly in cyclostationary data streams, whose statistical properties vary periodically over time. Rather than relying on classical stationary assumptions, the algorithm adapts to these recurring temporal patterns as it monitors live data for deviations. The work was posted to arXiv's machine learning listing as a cross-listed submission.