Grayscale Technology has launched the Bittensor Trust (GTAO), providing traditional investors with a regulated TAO investment channel without the need to directly hold TAO tokens. GTAO is traded on the OTC Markets, with its price synchronized to the reference price from Coin Metrics. This move comes shortly after Bittensor’s halving in mid-December, which reduced the TAO issuance by approximately 50%, aligning its scarcity with Bitcoin. The TAO price once surged by 34%, briefly touching the upper Bollinger Band, before falling back to $280 as the Relative Strength Index (RSI) declined. Grayscale Technology has also submitted an application to convert the trust into a spot ETF. Unlike centralized artificial intelligence, Bittensor uses subnets for model competition and earning TAO, promoting the development of decentralized intelligence. Although institutional investors are increasingly interested in decentralized AI, due to limited regulation and rising competition, decentralized artificial intelligence remains in the experimental stage.
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Grayscale Launches Bittensor Trust—Will Decentralized Artificial Intelligence Be the Next Major Investment?
Grayscale Technology has launched the Bittensor Trust (GTAO), providing traditional investors with a regulated TAO investment channel without the need to directly hold TAO tokens. GTAO is traded on the OTC Markets, with its price synchronized to the reference price from Coin Metrics. This move comes shortly after Bittensor’s halving in mid-December, which reduced the TAO issuance by approximately 50%, aligning its scarcity with Bitcoin. The TAO price once surged by 34%, briefly touching the upper Bollinger Band, before falling back to $280 as the Relative Strength Index (RSI) declined. Grayscale Technology has also submitted an application to convert the trust into a spot ETF. Unlike centralized artificial intelligence, Bittensor uses subnets for model competition and earning TAO, promoting the development of decentralized intelligence. Although institutional investors are increasingly interested in decentralized AI, due to limited regulation and rising competition, decentralized artificial intelligence remains in the experimental stage.