AI Infrastructure Boom Mints Billionaires in Unlikely Industries

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.

A SunoAI community post argues v4.5 and v5 were more capable than users realized, now that both versions are no longer available. The author says running the "My Voice" feature on v5 — advertised for 5.5 and Custom Models — produced notably better results.