LIVE PULSE

4.8 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 src1.7 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 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 Paper Examines How First Query Shapes Agentic Deep Search — 1 src1.3 Conformance-Driven Iterative Refinement for Natural-Language to SysMLv2 Translation — 1 src1.3 Neural Operators for Nonlinear Functionals on RKHS — 1 src4.8 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 src1.7 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 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 Paper Examines How First Query Shapes Agentic Deep Search — 1 src1.3 Conformance-Driven Iterative Refinement for Natural-Language to SysMLv2 Translation — 1 src1.3 Neural Operators for Nonlinear Functionals on RKHS — 1 src

papersSEP 10 04:00 UTC

SAC's tanh squashing found to hinder bang-bang control in negative-result study

An arXiv paper examines how the tanh squashing in Soft Actor-Critic shrinks the policy gradient as actions approach their bounds, potentially starving learning when near-saturated outputs are required. The authors report a negative result, showing this throttling impedes bang-bang control tasks and driving experiments in the MetaDrive simulator. The findings point to a practical limitation of tanh-squashed Gaussian policies in continuous reinforcement learning.

MetaDrive Soft Actor-Critic bang-bang control policy gradient reinforcement-learning tanh squashing

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGUnthrottling the Tanh Jacobian in SAC: A Negative Result on Bang-Bang Control and MetaDrive ↗SEP 10 04:00 UTC