$ZEC
Cooling DownSnapshot Window: 2026-09-16 10:00 UTC · ← Back to Crypto Overview
Social Momentum Summary
Total Engagement - Comments: 25, Retweets: 8, Likes: 51, Impressions: 1769
Verbatim Community Citations & Social Evidence 3 source posts analyzed
If you’re using @axisrobotics Hub, understanding the task flow makes the whole platform much easier to navigate Every task is basically a data bounty Your goal is not just to finish a checklist You are creating a Trajectory, a complete record of how the robot was controlled,
AI visual note: This image is a promotional infographic from Axis Robotics detailing their "AXIS HUB Task Flow" platform, which features a robotic arm alongside a workflow diagram that breaks down the process into three main stages: 1. Pre-training (teloperating the robot from scratch, where each valid run becomes a trajectory), 2. Training (using slot and filled demonstrations to train a policy through policy training), and 3. Post-training (where users retry up to 8 times with R8 failures, increasing connections and helping the model learn from mistakes); the infographic also includes additional details like a "data bounty" concept for tasks with 1,200 slots and 1,200 trajectories, limited attempts, certification and scoring, unsynced runs saved to portfolio, and D40 contribution to the data contributor, with a simple workflow at the bottom showing Complete, Verify, Score, and Sign steps—aligning with the caption's emphasis on tasks being data bounties and trajectories serving as complete records of robot
Quip network approach is super interesting
naniniresearch definitely has potential, excited to see results