AshutoshShrivastava

frontier LLMs handle high-level planning well, but their inference latency and cost make them impractical for driving a live physical robot control loop directly. PokeBot built Poke-Aurora, a dedicated World-Action Model, and opened it through RoboAPI (a non-commercial product under PokeBot) on supported hardware. The model combines pre-training and post-training to turn natural language prompts and robot state into near-real-time physical actions without training a custom policy first. It runs zero-shot across unseen tasks and environments, with demo footage shown at 1x speed (comparable to human speed). a dedicated, hosted action model makes much more sense for real-time execution than trying to force a heavyweight text model into the control loop. #PokeBot

Pika Labs (@pika_labs) just dropped Pika H3 Flex, post-trained on MiniMax H3 around an actual iteration loop. You can generate a 15-second clip at 768p in as little as 7 seconds ($0.02 per second at launch). You can pass up to 12 references across images, videos, and audio, and upscale the video which you like to 2K or 4K in the same job. It runs 1.8x faster and up to 80% cheaper than H3Max across matched text, image, and reference comparisons, and ranks #7 on DesignArena's text-to-video leaderboard ahead of base H3, H3Max, and Seedance 2.5. it also has stem separation, which makes the output usable in a real timeline. Instead of locking stereo 32 kHz sound into a single track, it can export five separate WAV stems for dialogue, score, SFX, foley, and ambience alongside the MP4, with open weights and a minimal GitHub inference implementation planned next.

3/4 When the scan finished on ProofWeave, Hunter Agent surfaced 6 confirmed findings across all three of its playbook categories: 1. Authentication & session (2 issues, Blocker & High): An unauthenticated recovery endpoint returned the generated PIN proof in the response body, and deterministic hourly SHA-256 PIN generation let an earlier same-hour PIN reset passwords even after reissuance. 2. Business logic (1 issue, High): Successful password resets never consumed the recovery PIN, allowing repeated account takeovers with the same token. 3. Broken access control (3 issues, Medium): The billing transfer endpoint accepted negative credit amounts (letting a caller debit another workspace and credit their own), and the workspace member role PATCH route checked session presence without verifying admin authority or workspace binding, tracing a 6-step privilege escalation flow across `workspace-auth.ts` and `members/route.ts`. Every finding lands directly in the SonarQube Cloud Issues list with the full cross-file execution flow, CWE mapping, and root-cause explanation.