The development of artificial intelligence (AI) technology has become the most powerful driving force of modern civilization, but behind it is extreme centralization, where data, computing resources, and model ownership are concentrated in a few large companies.1 This vertical integration structure creates a bottleneck for innovation and lacks a mechanism to ensure that independent researchers or small development teams are fairly compensated for the value of the intelligence they produce.1 The Bittensor protocol is a decentralized protocol designed to solve these problems. As a peer-to-peer (P2P) intelligence market, we seek to build a "Neural Internet" where machine learning models distributed...
Investment View
Stakers who have delegated their stake are provided with dividend income based on network growth, and subnet creators are granted the right to open a market.6 In particular, after the introduction of dTAO, TAO's role as a 'basic asset' that secures the value of all subnet tokens and a 'capital-weighted voting right' that determines which intelligent services users will invest their capital in has been further strengthened.6 The operating rights of Bittensor are transferred from the initial foundation, the Offentensor Foundation (OTF), to the community. It is being gradually transferred.13 Currently, the main core of the network through the 'dual...
Bittensor officially advocates “internet-scale machine learning” and is designed as an open AI economy where multiple independent subnets produce digital goods rather than a single AI model, and verifiers evaluate them and distribute TAO rewards. The official document also describes Bittensor as an open source platform that produces various digital products such as AI inference, learning, storage, compute, protein folding, and financial prediction. (Bittensor) The core technologies are Subtensor L1, Yuma Consensus, TAO/Alpha-based Dynamic TAO, and miner/verifier structure for each subnet.
Investment View
Implications: Dynamic TAO is a structure that moves from “root verifier subjective distribution” to “capital flow-based market signaling”. In the process of encompassing AI, DePIN, GPU, prediction, DeFi, and EVM, investors and developers may be confused about key performance indicators. Bittensor's overall maturity is evaluated at 75.8%.