@HumanoidNetwork

We expect users to be able to start earning soon by completing motion tasks that pass Hydra validation and are accepted under published campaign rules. Humanoid Network connects companies that need robot motion data with contributors who can help create it. The first earning opportunities will be limited as we test the model, expand our infrastructure and bring more enterprise demand onto the network. Simply put, the supply-demand flywheel is designed to work like this: 1. A robotics company tells us what motion data it needs and funds a campaign. 2. We convert that request into clear tasks for contributors. 3. Contributors generate the requested motions. 4. Hydra validates whether each motion is physically plausible, repeatable and useful. Initial campaigns may also include human review. 5. Accepted motions become part of the dataset delivered and licensed to the customer. 6. Collected campaign revenue funds disclosed bonuses for accepted contributions and supports continued network development. 7. More customer demand creates more tasks, attracts more contributors and expands the verified dataset. 8. A larger and more proven dataset can attract more robotics customers, creating further demand. The flywheel is simple: Companies create demand → contributors create supply → Hydra validates quality → customers pay for accepted data → contributors are rewarded → the dataset grows → more companies join. Where $HAN fits: • Contributors lock HAN to receive non-transferable veHAN participation power. • veHAN may increase the future Protocol Reward weighting of accepted work, but veHAN earns nothing by itself. • Once Motion Credits are enabled, active contributors will be able to use HAN to purchase additional submission capacity. • Under the planned Motion Credit model, HAN used to purchase credits will be permanently retired. • After real enterprise revenue has been collected, an approved portion may later be used to acquire and retire HAN, subject to formal legal, financial and governance approval. • Enterprise customers can initially pay through conventional invoices or USDC. Robotics companies will not be required to become token traders to use the network. We are not creating rewards and hoping useful data appears. We are building toward a system where real customer demand becomes paid contributor tasks, and contributors earn by producing motion data that passes validation and is accepted. Enterprise demand creates earning opportunities. Contributors are rewarded for useful work. veHAN can strengthen the future Protocol Reward weighting of accepted contributions. Participation and useful contribution matter, not passive token holding.

For a deeper, technical dive into Humanoid, you can find the whitepaper here: https://t.co/83MLPotS4T https://t.co/j6abGaPKB0

To be clear: there is NO airdrop and NO "community vote." Anyone DMing you or posting a claim link is trying to drain your wallet. The only official site is [https://t.co/VXEiJPFhBI]. If it's not from there, it's not us. https://t.co/t1OtEzFlwM

Putting two parts together looks simple. It isn't to untrained humanoids. An assembler knows the feel of a thread catching, the torque that's "enough," how to recover when a piece slips -> sequencing and failure-recovery a robot has no other way to learn. Precision built over thousands of repetitions. Through HanCapture, that precision enters the corpus. The expert becomes the teacher.

Humanoid Network is expanding its advisory board with Mark DeSantis. Mark is a serial tech entrepreneur who has built and sold several AI-based companies (two to Global 1000 companies) across a variety of industries. He is also an adjunct professor of entrepreneurship at @CarnegieMellon University and an adviser to several tech companies and Cybernetix Ventures. He was a senior policy analyst in the @WhiteHouse of Science and Technology Policy, Mark brings deep expertise at the intersection of technology, public policy, and entrepreneurship. Most recently, he is the coauthor of The Real AI: Creating Infrastructure and Cognitive Capital to Real Work to be released in the Fall 0f 2026 by Taylor and Francis Publishing and has a companion Substack on AI: Real AI = Real Work. His experience will help guide Humanoid Network as we build the data and intelligence infrastructure for the next generation of humanoid robotics.