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

JAX

model2 events
papersTODAY 04:00 UTC

JaxAHT library released to speed up ad hoc teamwork research

A new arXiv paper introduces JaxAHT, a JAX-based library aimed at ad hoc teamwork, where agents must coordinate with unfamiliar partners without prior arrangements. The authors argue that the field's progress is slowed by the heavy computational cost of typical AHT experiments, and the library is intended to reduce that burden. It is presented as a research tool rather than a product release.

papersSEP 10 04:00 UTC

New arXiv Paper Introduces JAX-ESHN, a GPU-Parallel ES-HyperNEAT Implementation

A new arXiv preprint describes JAX-ESHN, a rewrite of the ES-HyperNEAT neuroevolution method using JAX to run whole populations on GPUs. The authors note that, to their knowledge, no existing implementation of the algorithm had offered this level of parallelism before. ES-HyperNEAT itself develops neural network layouts by adaptively subdividing a quadtree, and the new implementation is meant to make it faster and more practical on modern hardware.