#personas

LIVE PULSE

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

2 curated events

papersSEP 10 04:00 UTC

ActTraitBench: benchmark quantifies the knowledge-decision gap in LLM persona behavior

Researchers introduced ActTraitBench, a benchmark that checks whether large language models actually behave in line with the personas they describe in explicit self-reports. Using human-grounded behavioral validation, it measures a knowledge-decision gap between what models state and the choices they make implicitly. The arXiv posting is a revised v2 of the paper.

benchmark/evaluation/llm/personas

papersSEP 12 04:00 UTC

Story Imprinting: Fine-Tuning on Synthetic Fiction Shifts AI Assistant Persona

Researchers investigate how fine-tuning a language model on synthetic stories alters the helpful-assistant persona it was trained to play. They find the model's behavior in multi-turn conversations with users changes after such training, suggesting the assistant absorbs traits from the human-like characters it resembles. The work is presented as an arXiv preprint and falls under AI safety and alignment research.

fine-tuning/safety/personas/alignment