ACADEMY

MODULE 4

LESSON 6

Use Cases Now and Later

Right now, Aigarth enables:

Distributed model training

AI-as-a-Service

(on-chain requests → Computor-signed responses)

DeSci (Decentralized Science)

open compute for bio, chem, math, etc.

Dataset validation and clustering

In the future?

Open, evolvable models

Collective reinforcement learning loops

General intelligence without central training hubs

© 2025 Qubic.

Qubic is a decentralized, open-source network for experimental technology. Nothing on this site should be construed as investment, legal, or financial advice. Qubic does not offer securities, and participation in the network may involve risks. Users are responsible for complying with local regulations. Please consult legal and financial professionals before engaging with the platform.

© 2025 Qubic.

Qubic is a decentralized, open-source network for experimental technology. Nothing on this site should be construed as investment, legal, or financial advice. Qubic does not offer securities, and participation in the network may involve risks. Users are responsible for complying with local regulations. Please consult legal and financial professionals before engaging with the platform.