Reddit users report quality drop in OpenAI's Astra

HomeBody uses a VLM to pick a skill and spatial target from the current ego view, map context, gripper state and recalled observations, then passes it as a structured tool call. Picking targets are image points normalized to 0-1000 with a chosen hand; depth comes from D435i stereo via Fast-FoundationStereo.

A longtime K-pop fan who started using Suno in late 2024 says the tool has displaced the "real" music they used to listen to. They ask whether other Suno users have had the same experience.

A r/ClaudeAI thread asks which paid software or subscriptions users replaced with Claude-built alternatives; the poster cites Trendcurve, an iOS weight-tracking app they built instead of paying for it.

r/LocalLLaMA discussion questions whether the hobby's multi-GPU, Mac Studio, and Strix Halo setups represent the extreme minority of users. The thread asks what happens if affordable access to frontier models doesn't last.

Video commentary argues OpenAI and Anthropic keep shipping models despite an agreement to slow frontier development. No specific models, dates, or benchmarks are cited in the available description.

A Stanford project (HomeBody) let GPT-6 Astra drive a Unitree G1 humanoid in a kitchen it had never seen, tidying rooms and fetching objects from vague requests. Astra also ran an end-to-end medicinal chemistry experiment verified by LC-MS, and was the only model to finish an autonomous driving course, on attempt 2.