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Behind the $TAO Crash: The Bittensor Internal Strife and the 'Impossible Trinity' of DeAI

The decentralized AI (DeAI) sector is facing a major crisis following a public conflict within Bittensor ($TAO), a leading DeAI project. Covenant AI, one of its top development teams, which recently successfully trained a 72-billion-parameter large language model, announced its exit from the Bittensor network. The team accused founder Jacob Steeves of having "absolute and dictatorial" control over the network, alleging he arbitrarily cut off token rewards to their subnet without transparent governance. This triggered a panic sell-off, causing $TAO’s price to drop 15-25% in a single day and wiping out hundreds of millions in market value. The incident has raised serious questions about the viability of decentralized AI, highlighting a fundamental tension—referred to as DeAI’s "impossible trilemma"—between model quality and scale, credible neutrality of decentralization, and Sybil-resistant incentive alignment. Covenant’s departure exposed the centralized reality beneath Bittensor’s decentralized facade: although the network relies on a Yuma consensus mechanism for reward distribution, key validator nodes are controlled by early investors and the founder, allowing unilateral intervention. The event underscores systemic governance risks that may deter high-quality developers and institutional participants, threatening the entire DeAI narrative centered around trustless, incentive-driven AI development.

marsbitHace 2 días 08:59

Behind the $TAO Crash: The Bittensor Internal Strife and the 'Impossible Trinity' of DeAI

marsbitHace 2 días 08:59

Crypto xAI Weekly Roundup: TAO Surges 40% in a Week, Decentralized Computing Trains First Competitive-Grade Large Model

This week in crypto xAI was dominated by Bittensor subnet Templar's historic achievement: the decentralized pre-training of Covenant-72B, a 720-billion-parameter LLM, reportedly rivaling LLaMA-2-70B. Trained on 1.1 trillion tokens using consumer-grade hardware within Bittensor’s permissionless network, this milestone shifts the narrative from proving subnet viability to delivering outputs competitive with centralized alternatives. TAO surged 40% in response. The broader DeAI market cap rose 12% to $16.2B, with FET (+61%) and RENDER (+31%) also posting significant gains. The robotics sector grew 6% to $811M, led by PEAQ’s 48% rise. Nansen DEX flow data showed net inflows into sUSDAI, WTAO, and VIRTUAL, indicating smart money accumulation. x402 transaction analysis revealed a key trend: while transaction counts fell, the total transaction value spiked, signaling a shift toward higher-value, legitimate commercial use cases over low-value spam. AWS further validated the space by releasing a full technical reference architecture for x402, marking its transition from concept to infrastructure.

marsbit03/18 07:40

Crypto xAI Weekly Roundup: TAO Surges 40% in a Week, Decentralized Computing Trains First Competitive-Grade Large Model

marsbit03/18 07:40

DeAI: In the Era of AI's 'Wild Growth', Why Web3 is Needed to Govern It

The article "DeAI: Why Web3 Governance is Needed in the Era of AI's 'Wild Growth'" discusses the rise of decentralized AI (DeAI) as a counterpoint to the current centralized AI paradigm. It highlights two major concerns with centralized AI: the lack of verifiability in model outputs and the scalability limitations of centralized infrastructure. DeAI addresses these issues through verifiable compute, using cryptography and consensus mechanisms to ensure transparent and provable model execution. This approach not only builds trust in AI outputs but also enables cross-border collaboration. Projects like Prime Intellect and Inference Labs are already exploring distributed, verifiable inference on decentralized GPU networks. Economically, DeAI aligns with the industry's shift from raw computational power (Return-on-GPU) to efficiency and value-oriented推理. A permissionless, global network of heterogeneous GPUs could compete with centralized providers like AWS on cost while offering greater transparency. Moreover, DeAI promises to democratize AI development, allowing contributors—whether providing compute, data, or applications—to participate in governance and share rewards. Although still in early stages, DeAI represents a path toward ethical, open, and decentralized AI ecosystems, complementing rather than replacing centralized models.

marsbit01/06 09:29

DeAI: In the Era of AI's 'Wild Growth', Why Web3 is Needed to Govern It

marsbit01/06 09:29

2025 Crypto x AI Year in Review: Which Narratives Survived?

The 2025 Crypto x AI landscape saw a shift from speculative narratives to practical, utility-driven applications. Key surviving narratives include DeFAI (Decentralized Finance AI), which evolved through three phases: abstraction layers (simplifying DeFi interactions), autonomous yield agents (managing "set-and-forget" strategies), and AI Vaults (auditable, agent-generated smart contracts). Projects like Giza and Almanak led this space. AI agents, initially overhyped for entertainment, declined due to lack of utility but resurged with new standards like Coinbase's x402 and Ethereum's ERC-8004, enabling verifiable, decentralized agent economies. Decentralized AI (DeAI) emerged as a critical pillar, with Bittensor leading a "Darwinian AI" ecosystem that coordinates global resources for model training, reinforcement learning, and privacy-preserving computation. This infrastructure supports商业化 AI agents and enhances DeFi and prediction markets. Prediction markets integrated AI for forecasting and liquidity provision, though they face challenges like limited liquidity and edge decay. Overall, the trend moved from speculation to infrastructure, with 2026 poised for crypto-native AI products gaining indispensability.

深潮12/15 07:18

2025 Crypto x AI Year in Review: Which Narratives Survived?

深潮12/15 07:18

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