Robots don't run themselves: workforce powering physical AI

A r/SunoAI thread asks creators to describe the listener they believe will play their song start to finish and return for more, noting most creators barely listen to each other beyond checking ideas or inspiration.

Cursor's iOS app now lets users view and message local agents running on their desktop, with agents staying on the machine rather than moving to the cloud. Remote Control is on by default except for Enterprise orgs, and the computer must stay on, online, plugged in, and lid-open.

A r/MachineLearning discussion post examines where memory actually lives across RNN, Transformer, and SSM architectures, framing the comparison through the lens of working memory. No benchmarks, numbers, or paper are cited in the snippet.

Talk argues AI that writes code well still struggles to run production, where 70% of engineering time goes to running and fixing code. Production spans code, infrastructure and other domains, unlike self-documenting, modular code.

Jump Trading's Lucas Baker, Head of LLM R&D, says agents now build entire services and run analyses spanning days across multiple data sources. Longer-running AI workflows combine multiple data sources with human review.

Bloomberg's Big Take Asia reports the AI infrastructure boom has created billionaires from furniture makers to toilet manufacturers. The story profiles an unglamorous new breed of AI hardware suppliers, moving wealth creation beyond Silicon Valley.