LIVE PULSE
4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.4 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 src1.7 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 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems1 src1.3 Paper proposes evolving context parameterization for large language models1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions1 src4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.4 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 src1.7 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 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems1 src1.3 Paper proposes evolving context parameterization for large language models1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions1 src
HEATPULSEAI MAGAZINES
FLIP · FOLLOW · SAVE

Phase transitions

topic2 events
papersTODAY 04:00 UTC

Quenched Ensemble Sampling Tackles Phase-Transition Bottlenecks in Sampling

A new arXiv preprint introduces Quenched Ensemble Sampling, a method aimed at the difficulty of drawing samples from physical energy functions near phase transitions, where the density of states shifts sharply and many existing samplers slow or stall. The work builds on nested sampling, a particle-based approach that traverses such landscapes. The abstract indicates the technique is designed to keep sampling efficient in these abrupt regime changes.

papersSEP 12 04:00 UTC

Study Maps Scaling Laws Behind Grokking's Delayed Generalization

A new arXiv preprint examines grokking, the phenomenon where neural networks keep memorizing training data before abruptly improving on held-out data. While prior work has focused on why this delay happens, the paper targets its quantitative structure, describing scaling laws and a phase structure that predict when the shift occurs. The authors present an arXiv preprint; the abstract excerpt provided does not detail the full experimental setup or results.