Frequently asked questions.

Since we are building a decentralized network of 3D coordinate systems and poses of devices and digital information within them, "mesh" represents that network.

The posemesh addresses several critical problems in the realm of spatial computing, AR, and AI:

• Centralized spatial data: Traditional positioning systems rely on centralized servers to process visual data from a camera feed, which leads to privacy concerns and potential surveillance scenarios. The posemesh decentralizes this process, allowing for collaborative spatial computing without a central authority, thus preserving user privacy and cognitive freedom.
  ‍
• AR: Without precise positioning, augmented reality cannot be shared (all devices should see the same thing in the same place). Without spatial domains, digital information cannot persist and be anchored in a physical space.
  ‍
• AI: Currently AI is confined to the internet with no understanding of the physical world. The posemesh endows AI with a sense of physical space, akin to how we navigate our homes in the dark, relying on memory and proprioception.

The term "pose" refers to an object's position and orientation in three-dimensional space, not just its location (XYZ coordinates) but also the direction it’s facing. To use a physics analogy, pose is to position as velocity is to speed.  

The posemesh was created as a network of devices collaboratively working to understand their position and orientation in space, enabling a new era of spatial computing and AR experiences that can be shared, persistent within a physical domain, or both.

Auki Labs is a company at the forefront of spatial computing, focusing on the convergence of the digital and physical worlds to enable seamless collaboration between people, devices, and AI.

Auki Labs is building a suite of posemesh-enabled apps for the retail sector called Convergent, as well as engaging apps and games for any domain owner to use in their domain.

Our Discord moderators frequently host games in our Discord server; come join us there!

The fundamental challenge in spatial computing is helping computers understand the physical world and their position in it.

‍

“Without spatial computing, AI is limited to a human-curated derivative of the real world. As Lili Cheng at Microsoft puts it: “Mixed reality is the eyes and ears of AI.” Whoever wins the race for spatial computing captures the massively expanding markets for both computers, AI and robotics - but they also end up with an incredibly dangerous power.”

The dark underbelly of the spatial computing arms race is how it encourages and enables more severe forms of surveillance than ever before. Features ostensibly built for our benefit, like foveated rendering, are quickly repurposed for tracking purposes. Foveated rendering in a headset tracks your eyes so that the headset can put extra attention on rendering the part of the scene that you’re looking at, but Meta executive Nick Clegg happily shared how this same eye tracking can be used to track engagement with ads. It turns out that eyes really are the window to the soul.

‍

Our cognitive liberty is at stake. The spatial computing arms race is taking us down a dark path where whoever wins will be in a position of almost unimaginable power, placing themselves as a filter between us and reality, in a position to measure and modify how we think, function and feel.

‍

The antidote is imagining an attainable world where AI is limited to the smaller physical contexts of your local grocery store, public library or workplace rather than a world-spanning surveillance apparatus. The whole world does not need to exist within one massive coordinate system linked to a solitary company. This is where decentralization comes into play.

‍

“The surveillance apparatus will eventually reach into our homes and places of business, unless we find a way to give sight to AI without centralized surveillance.”

The posemesh protects user privacy in several ways:

• DePIN networks like the posemesh can outcompete prevailing cloud architectures in many ways, both in terms of performance and cost, but can also stop data from aggregating in the hands of one company.
  ‍
• The posemesh isn’t a visual positioning system to begin with, so apps built on the posemesh don’t need to collect data from your camera feed.
  ‍
• Data about domains can be privately hosted, giving their owners complete control over who has access to that data.

The biggest blocker when it comes to shared AR is slow calibration and discrepancies in positioning. The posemesh enables instant calibration and precise positioning, so that multiple devices see the same things in the same place. The posemesh also provides low latency networking for shared AR experiences thanks to our decentralized network of Hagall relay servers.

The posemesh is a DePIN project designed to support collaborative and privacy-preserving spatial computing. It enables AI to understand the physical world.

Hagall is a real time networking server. The Hagall network routes posemesh traffic over a decentralized network of hyperlocal servers and microcomputers. This allows for lower latency, more precise collaborative spatial computing, and more immersive AR experiences. To participate, join our Discord server and read the latest updates in the Infrastructure announcements channel.

DePIN stands for Decentralized Physical Infrastructure Networks. It represents a shift towards leveraging decentralization to enhance the efficiency, resilience, and sovereignty of physical infrastructure networks.