Our BitAI technical whitepaper was posted yesterday! Huge thanks to everyone who's already provided feedback.
We understand the whitepaper was too technical, so we created a clear, visual presentation to make BitAI easy to understand!
Check out the non-technical thread below.
We are living in an AI-powered world.
AI is now woven into the fabric of everyday life
But there is a problem.
The future of AI is open-source and decentralized.
Bittensor is a radical development in AI. It creates an ecosystem of AI-specific chains known as subnets, each focused on a specific AI use case.
However, there are a few critical issues with Bittensor around security, decentralization, scalability, and programmability.
We need an alternative solution. One that focuses on security, decentralization, scalability, and programmability.
Bitcoin > Bittensor
Bitcoin is a more secure layer for AI than Bittensor. As the most secure blockchain in the world, Bitcoin is the best home for AI agents, apps, games, and chains.
Bitcoin L2s > Bittensor Subnets
Anyone can permissionlessly spin up an AI-specific Bitcoin L2s ("AI chains"). AI chains have superior tech:
- As ZK rollups on Bitcoin, AI chains are secured by math, not 64 validators.
- Powered by onchain-verifiable decentralized inference.
Decentralized Inference > Centralized APIs
Bittensor subnets provide centralized AI APIs, similar to Web2 APIs.
BitAI takes a different approach with smart contracts. Instead of calling centralized APIs, developers will make decentralized smart contract calls.
A superpower for crypto developers
Crypto developers can use onchain LLMs natively on the blockchain. They can write AI code directly within their smart contracts.
Symbiosis is the first AI chain we deployed on Bitcoin. It was configured with a 1-second block time and extremely low transaction fees, making it ideal for AI applications.
BitAI proposes a protocol for building AI-specific blockchains ("AI chains") with a focus on security, decentralization, scalability & programmability.
Anyone can permissionlessly launch their own AI chain.
This dev guide teaches you how to build your first Decentralized ZerePy agent with:
- Decentralized Inference by @CryptoEternalAI
- Onchain AI Model by @AIatMeta deployed on @Base
- Framework by @0xzerebro
BACKGROUND 1:
For this guide, we'll use @CryptoEternalAI's Decentralized Inference, which has the same interface as OpenAI (so no learning curve for you) — but is decentralized.
We'll use onchain @AIatMeta's Llama 3.3 deployed on @Base.