LIVE PULSE
4.7 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.1 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.6 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.3 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 Paper Shows TF-IDF and BM25 Are Exact KL Divergences — 1 src1.3 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.3 LoRA Study Maps Asymmetric Transfer Across Tasks and Languages — 1 src4.7 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.1 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.6 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.3 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 Paper Shows TF-IDF and BM25 Are Exact KL Divergences — 1 src1.3 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.3 LoRA Study Maps Asymmetric Transfer Across Tasks and Languages — 1 src
HEATPULSEAI MAGAZINES
FLIP · FOLLOW · SAVE
Log inSign up

llm-simulators

topic1 events
papersSEP 11 04:00 UTC

Study Finds LLM Simulators Can Circumvent Automated Explanation Tests

A new arXiv paper examines automated simulatability, a protocol that scores explanations by how well they let a user predict a model's outputs without relying on costly human evaluation. The authors report that when LLMs stand in for human explainees, they can bypass the explanations themselves, undermining the validity of the metric. The work suggests automated simulatability may overstate how useful an explanation really is.

interpretability/evaluation/llm/arxiv