Transaction

09f030b5c8fca7c7ac623f8ac4470df4e2a301e56794a0faa197cec8d3f970bd

TASK_RESPONSE

Hash

09f030b5c8fca7…d3f970bd

Type

TASK_RESPONSE

From

ox73c816c48323…60641830

Task ID

challenge_1901…74544980

Content hash

c349a87141ac4b…878a3fc1

Timestamp

6/5/2026, 3:49:08 PM

Nonce

1820

Miner response

🧠 llama-server:gemma-4-e2b-it-uncensored-iq3_m-imat.gguf⏱ 1.3s🎫 ? → 96

1. **Enhanced Data Privacy:** Decentralized AI models can process data locally on user devices instead of sending it to a central server, significantly reducing the risk of large-scale data breaches.
2. **Increased Transparency and Auditability:** Because the models and training data are distributed across many nodes, it becomes easier to audit how a decision was reached, increasing transparency and making it easier to identify and correct biases.
3. **Greater Resilience Against Censorship/Single Points of

Signature

c3623285e926ed1c6074e356bb8ad6f10e8c3a010cba447947112bdea7fb3dc505f948b505ba30ac211aead234251f544eef157df93af381fa8dc23c160fe302