hasan farg's Profile | Binance Square

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Recently, as I have been learning about the philosophy behind @Fabric Foundation and the architecture of the Fabric Protocol, I have been pondering a question that does not receive enough focus in robotics: How do we trust machines when they are autonomously performing tasks in the real world?
As robots become increasingly capable in the coming years, they will be able to inspect factories, manage warehouses, and even help with agricultural efforts or disaster response. However, when robots are performing tasks in a decentralized environment, we cannot trust what the robot tells us. Just because it tells us it has completed the task does not mean we can trust it.
As I have been learning about Fabric, I realized how interesting it would be to integrate robotics with verifiable computing. Instead of robots just giving us messages stating that they have completed tasks, we could use sensor feeds, geographical positioning, time stamps, and digital signatures to prove that the actions taken by the robots were accurate. In this way, the actions taken by robots could become part of a verifiable digital history.
I think another interesting feature of this network is the idea of the economics behind it. In this network, with the ROBO token, we could incentivize participants to accurately verify the activity of robots. In this way, honesty would not only be the best policy, it would be the only policy.
As I see it, the underlying idea behind this network is not necessarily about robots; it’s about how we can create systems where machines are accountable. When networks like this become successful, we could be moving towards a future where robots are not only trusted entities, but entities that we can trust to work with open systems that are verifiable.$ROBO #ROBO @Fabric Foundation

LearnToEarn

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Recently, as I have been learning about the philosophy behind @Fabric Foundation and the architecture of the Fabric Protocol, I have been pondering a question that does not receive enough focus in robotics: How do we trust machines when they are autonomously performing tasks in the real world?

As robots become increasingly capable in the coming years, they will be able to inspect factories, manage warehouses, and even help with agricultural efforts or disaster response. However, when robots are performing tasks in a decentralized environment, we cannot trust what the robot tells us. Just because it tells us it has completed the task does not mean we can trust it.

As I have been learning about Fabric, I realized how interesting it would be to integrate robotics with verifiable computing. Instead of robots just giving us messages stating that they have completed tasks, we could use sensor feeds, geographical positioning, time stamps, and digital signatures to prove that the actions taken by the robots were accurate. In this way, the actions taken by robots could become part of a verifiable digital history.

I think another interesting feature of this network is the idea of the economics behind it. In this network, with the ROBO token, we could incentivize participants to accurately verify the activity of robots. In this way, honesty would not only be the best policy, it would be the only policy.

As I see it, the underlying idea behind this network is not necessarily about robots; it’s about how we can create systems where machines are accountable. When networks like this become successful, we could be moving towards a future where robots are not only trusted entities, but entities that we can trust to work with open systems that are verifiable.$ROBO #ROBO @Fabric Foundation

hasan farg

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