Let’s take a look at how @cicada_mm introduces @axisrobotics I know no one has the patience to read through long posts like this, so I’ll summarize the key points based on the actual features from Axis Robotics’ official website. If you haven’t tried Axis Robotics yet, feel free to use my link! ➡️ https://hub.axisrobotics.ai/login?invite_code=oC21hssy This article and the Axis Robotics whitepaper/docs are essentially focused on one thing: By 2026, the AI industry will have solved the computing power problem, but the next-gen physical AI/robotics industry will lack the massive data support it needs. The problem is, collecting real-world human data is expensive and hard to scale for industrialization. That’s where Axis Robotics’ “data loop” solution comes in: 1️⃣ Generate tasks and scenarios 2️⃣ Simulate remote sensing operations ➕ collect real user behavior data 3️⃣ Process trajectories 4️⃣ Train and deploy strategies 5️⃣ Gather model errors, analyze specific issues, and decide what tasks and data to release for the next round Currently, there are three products: 1. Web-based simulation data platform (operable directly in your browser) 2. First-person data collection mobile app (not launched yet, planned for release this year) 3. Unified processing pipeline for data-to-model What role does crypto play here? Axis uses on-chain records (mainly on the Base chain) to trace every qualified trajectory, binding each one to the contributor’s wallet and data quality, etc. The goal isn’t to issue tokens but to solve the problem of identifying who contributed what and assessing the quality of their contributions.