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5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src

#papers

2 curated events

papersTODAY 04:00 UTC

Study Proposes Routing Instead of Fixing to Improve Clinical LLM Answer Selection

A new arXiv paper argues that clinical LLM answers should be selected by routing between decoding strategies rather than by correcting a single model's output. The authors show that the best decoding regime depends on the query, and propose a trajectory-gated router that picks the appropriate method per question. The work aims to improve reliability without adding retrieval, fine-tuning, or external verifier infrastructure that clinical governance would need to approve.

clinical-ai/hallucination/llm-safety/papers

papersTODAY 04:00 UTC

Taxonomy of Indirect Linguistic Encoding for LLM-Based Coded Language Detection

A revised arXiv preprint proposes a mechanism-oriented taxonomy of indirect linguistic expressions, the disguised phrasing such as algospeak and euphemisms that users adopt to hide sensitive meaning from platforms. The work organizes these encoding strategies by how they work rather than how they look, aiming to give LLM-based detection systems a more general basis for spotting obfuscated content. It targets the gap between surface-form moderation filters and adversarial evasion in social media text.

papers/safety/moderation/nlp