1. Introduction: The Vision for Verified Real-World Intelligence

RealityMesh is a proposed Bittensor subnet for producing verified real-world intelligence that autonomous agents can buy, audit, and use. The core thesis is simple: AI agents can reason over the internet, but they still fail when they need a fresh fact about the physical world. Search engines can tell an agent what a venue looked like yesterday. A live human can tell it what is happening now. RealityMesh turns that live human or device observation into a scored, priced, and verifiable intelligence commodity.

In one sentence: on Bittensor, RealityMesh lets real-world observers produce auditable live physical-world intelligence through image evidence, validator scoring, and TAO testnet proof.

The first RealityMesh prototype demonstrates the subnet loop through a deployed Cloudflare Worker application. A miner submits a fresh field observation, attaches a real image, and the browser hashes the image bytes with SHA-256. Validators score the observation across freshness, geo plausibility, evidence fit, replay resistance, and cross-miner consensus. Buyers inspect a claim market and a per-claim audit page before consuming the fact. A funded hosted wallet then seals the claim digest on Bittensor EVM testnet.

The seeded hero claim uses a real mu shanghai / Alibaba Center event photo. The image is stored as public evidence, its SHA-256 digest is visible in the product, and the claim detail links to a real Bittensor EVM testnet transaction:

• Live app: https://realitymesh.veithly.workers.dev
• Bittensor EVM testnet chain id: 945
• Seed evidence SHA-256: ef54cd8c5a43c31b90d30649a019a62d057c7e043fede9a7f042bbd479b81ded
• Seed proof transaction: 0xd5e8d6f254f16d9ec1cc476987fdc84da0316558476fdd4a2022a31b584407c4

RealityMesh is designed as a “proof of intelligence” subnet because useful output requires more than data entry. Miners must capture high-entropy, timely evidence. Validators must distinguish useful live facts from stale screenshots, replayed photos, vague claims, or implausible locations. The network rewards contributors who produce intelligence that downstream agents can trust.

2. Incentive & Mechanism Design

The RealityMesh incentive mechanism is designed to reward fresh, verifiable, buyer-useful physical-world observations. The subnet does not pay for raw photos, generic text, or passive scraping. It pays for claim packages that survive validation and remain valuable to a buyer within a short freshness window.

Emission and Reward Logic: Quality-Weighted Real-World Intelligence

Each miner submission is treated as a claim package:

1. A structured claim, such as “mu shanghai outdoor stage is live.”
2. A location, such as “Alibaba Center, Shanghai.”
3. An observed value, such as “outdoor stage active, audience seated, event flags visible.”
4. An evidence object, usually an image or short video.
5. A cryptographic evidence digest.
6. A freshness timestamp and optional device metadata.