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Explore Bittensor TAO 's rise as a decentralized AI network. Learn about $TAO tokenomics, subnets, security breaches, and its role in reshaping AI
Author: Tanishq Bodh
Written On: Fri, 04 Jul 2025 21:28:09 GMT
Bittensor (TAO) is a decentralized blockchain network designed to power an open marketplace for artificial intelligence (AI). Instead of one company building a massive AI model, Bittensor enables thousands of developers worldwide to train AI models, contribute intelligence, and get rewarded in TAO tokens.
Its core vision: democratize AI development, prevent centralization of AI power, and turn intelligence into an open, permissionless digital commodity.
The network rewards useful contributions through Proof-of-Intelligence (PoI) consensus — models compete to answer AI tasks and are graded by other nodes for accuracy, novelty, and usefulness.
Founded in 2019 by Jacob Steeves and Ala Shaabana, Bittensor was developed under the pseudonym “Yuma Rao”, similar to Satoshi Nakamoto in Bitcoin.
The project was initially aimed at becoming a Polkadot parachain but transitioned to an independent Layer-1 blockchain built on Substrate for greater flexibility.
The Revolution upgrade in October 2023 transformed Bittensor into a modular architecture with independent subnets, each specializing in specific AI tasks.
Bittensor TAO aims to establish a decentralized marketplace for artificial intelligence (AI) using blockchain technology. Launched in 2019 and operating on its own Substrate-based layer-1, the platform rewards contributors—developers and validators—with its native token, $TAO, for building and evaluating AI models. This case study explores Bittensor’s evolution, technology, market position, challenges, and outlook.
Bittensor TAO – Founders: Jacob Steeves (AI/blockchain engineer) and Ala Shaabana (operations) with Yuma Rao contributing under a pseudonym.
Key network versions:
Each subnet is a specialized marketplace for an AI service:
The best-performing miners and validators receive TAO rewards based on how useful their models are.
PoI transforms intelligence into “mining” — better AI earns more TAO.
Bittensor’s ecosystem has exploded with over 95 subnets covering various AI fields:
Source : Crucible Labs
Subnets compete for TAO rewards, driving innovation across domains.
Bittensor has seen rapid adoption:
Notable partners include Nous Research, Foundry (DCG), Manifold Labs, and Cerebras.
Bittensor’s main advantages over centralized AI (like GPT-4 or Google Gemini):
By decentralizing AI, Bittensor TAO empowers the global community to innovate beyond the limits of corporate AI.
Bittensor closed approximately $350 million in venture capital backing, led by Polychain, DCG, and dao5. Listed on major exchanges such as Binance and Crypto.com, this reflects confidence in its framework.
Live subnets – exceeding 45 in number – each employ different AI tasks like no-code training, proof-of-value generation, decentralized inference, and infrastructure layer services. Examples include:
Use cases extend to domain-solving like protein folding and cybersecurity.
A phishing attack exploiting a compromised PyPI package led to $11.2 million worth of $TAO being stolen. Private keys were stolen from unwitting users.
Another exploit took $8 million, triggering an emergency halt and a “safe mode” to restore operations safely.
A malicious PyPI package version 6.12.2 (released in late May) contained code that exfiltrated private keys.
Bittensor paused the chain, rolled back to eliminate the malicious update, accelerated audit protocols, and revoked the compromised PyPI publication rights.
Despite progress, Bittensor faced two major security events:
Both incidents triggered network responses, including chain halts and hardening of security protocols.
Key lessons:
The team is addressing these via improved governance, UX simplification, and hardening security.
Strengths
Weaknesses
With over 200,000 user addresses, Bittensor hosts active governance discussions, protocol proposals, and subnet initiatives. Contributors are transparent via forums and chat platforms. Collaboration is decentralized, with external teams regularly launching new subnet applications.
Bittensor’s north star is a global AI economy where intelligence is open, decentralized, and composable.
Key roadmap items:
Bittensor aspires to be AI’s Linux or Bitcoin — the foundation for an open AI internet.
Bittensor represents a forward-thinking effort to decentralize AI development. Its model—fostering open contribution, quality-driven rewards, and varied applications—positions it as an experimental leader in blockchain-based AI. However, pervasive security concerns, narrative around volatility, and competition from centralized platforms temper its long-term promise. Bittensor’s potential depends on delivering robust security, building developer-friendly tools, and gaining sustainable real-world adoption.
| Metric | Highlights |
|---|---|
| Token Supply | 21 million $TAO total |
| VC Funding | $350 million across top-tier venture firms |
| AI Models | 4,000+ models available on-chain |
| Parameter Count | Over 10 trillion AI model parameters |
| Active Accounts | ~203,000 users |
| Market Cap | Estimated between $3–3.5 billion |
| Security Incidents | $19.2 million lost due to two PyPI-related exploits (Mid-2024) |
| Upgrades | Revolution Upgrade Oct 2023 expanded subnet structure |
Bittensor is a critical experiment in applying blockchain incentives to AI development. By enabling decentralized model collaboration, incentivizing quality contributions, and diversifying applications, it challenges centralized paradigms. However, to fulfill its disruptive potential, Bittensor must secure its infrastructure, streamline participation, and foster meaningful adoption amid competition. For stakeholders interested in decentralized AI, Bittensor offers a provocative—if still decisive—proof of concept.
