Prominent centralized cryptocurrency exchange KuCoin has officially announced its support for the peer-to-peer machine learning protocol crypto project Bittensor (TAO). The exchange disclosed the listing of the TAO token through a recent announcement via its official website and its account on X.

📢 New Listing@opentensor $TAO Gets Listed on KuCoin!

💎Pair: TAO/USDT
💎Deposit: now open (network: mainnet)
💎Trading: 09:00 on December 20, 2023 (UTC)

— KuCoin (@kucoincom) December 20, 2023

In the notification, KuCoin expressed pride in supporting the native token of the P2P-focused platform on its spot trading service. According to the announcement, KuCoin has started accepting TAO token deposits via the project’s mainnet network.

Notably, the trading of TAO officially begins today, December 20. The designated trading pair for TAO is the Tether USD (USDT) stablecoin. Concurrently, users will gain the capability to withdraw their TAO tokens starting tomorrow, December 21.

For the uninitiated, Bittensor functions as a P2P machine learning protocol designed to motivate contributors to train and manage machine learning models in a decentralized fashion. Bittensor seeks to establish a worldwide, distributed, and incentivized machine learning ecosystem through the interconnection of neural networks across the internet.

Notably, OpenTensor is the driving force behind the development of Bittensor. It was initially conceptualized as a Polkadot para chain under the name Finney. However, the project made the strategic decision to establish its independent blockchain in March 2023, aiming to diminish its dependency on the Polkadot ecosystem.

Prior to Bittensor’s native token list on KuCoin, the exchange had listed other fast-growing crypto projects with revolutionary goals. This includes SNS, the native token of TrendFi music platform Sonorus, which bridges crypto and music for rewards. KuCoin has also supported Script Network’s watch-to-earn TV platform, which seeks to redefine video advertising within the crypto industry.

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