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The TAO Subnet Team Praised by Jensen Huang Has Parted Ways with the Founder Amidst a Fallout

Nvidia CEO Jensen Huang recently praised the decentralized AI project Bittensor (TAO) during a podcast, specifically highlighting a 72-billion-parameter Llama model trained collaboratively by a subnet team called Covenant AI. This endorsement initially boosted TAO's price, but the situation deteriorated rapidly when Covenant AI's founder, Sam Dare, publicly announced the team's departure from the Bittensor network. Covenant AI accused Bittensor and its key figure, Jacob Steeves (known as Const), of centralization and abuse of power, contradicting Bittensor’s decentralized ethos. The team claimed that Const exercised unilateral control by halting subnet emissions, removing administrative rights, discarding infrastructure, and using token sales to pressure the team. They argued that Bittensor’s governance is effectively centralized under Const, despite claims of distributed control. As a result, Covenant AI decided to leave, intending to continue its work on decentralized AI training elsewhere. The exit has sparked significant concern within the Bittensor community, raising doubts about the network’s decentralization narrative, technical future, and token value. TAO’s price fell sharply following the news. Const responded vaguely on social media, suggesting the event would push Bittensor toward more decentralized, “headless” subnets, but has not addressed the specific allegations in detail. The incident has damaged Bittensor’s reputation while raising Covenant AI’s profile.

Odaily星球日报04/10 03:08

The TAO Subnet Team Praised by Jensen Huang Has Parted Ways with the Founder Amidst a Fallout

Odaily星球日报04/10 03:08

OpenClaw "Endorses" Venice: What Other Targets Are There in the Privacy AI Track?

OpenClaw's brief endorsement of Venice has drawn market attention to the growing intersection of privacy and AI in the crypto space, sparking discussions around several related projects. Venice (VVV) is positioned as a decentralized, privacy-first alternative to ChatGPT, emphasizing its no-logging and no-censorship policies. Its token has surged amid both growing demand and a reduction in token supply. NEAR Protocol is shifting its narrative toward becoming an infrastructure layer for AI agents, particularly through its Confidential Intents system, which adds optional privacy to cross-chain transactions to combat MEV and front-running. Sahara AI aims to build a decentralized AI ecosystem that addresses data ownership and fair value distribution. Its ClawGuard system provides safety mechanisms for AI agents, while its data service platform incentivizes users to contribute data. Phala Network offers privacy-preserving computation via TEE-based smart contracts, providing a secure execution environment for AI agents. It has partnered with projects like ai16z to integrate confidential computation into agent frameworks. Analysts note that interest in privacy-AI projects had been building even before recent hype, suggesting the trend may have longer-term potential beyond short-term speculation.

Odaily星球日报03/05 06:42

OpenClaw "Endorses" Venice: What Other Targets Are There in the Privacy AI Track?

Odaily星球日报03/05 06:42

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