LIVE PULSE
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
HEATPULSEAI MAGAZINES
FLIP · FOLLOW · SAVE

#truthfulness

2 curated events
papersTODAY 04:00 UTC

Study Tests Limits of Linear Truth Directions in LLM Activations

A new arXiv paper investigates the linear directions in a large language model's activation space that prior work associates with statement truth. It questions how universal or generalizable these truth directions are, building on earlier claims about their consistency across contexts. The work falls within ongoing research on interpreting and steering model internals.

papersSEP 12 04:00 UTC

Paper Identifies 'Perfect Aliasing' Failure in Compliant-Context Truth Probes

A new arXiv paper examines a problem it calls "perfect aliasing," in which a truthfulness probe trained on data where honest reporting and the task's prescribed action line up cannot tell those two targets apart from the labels alone. The authors argue this amounts to a failure of semantic identification, and they study it using a controlled binary reporting setup.