Decentralized AI Platform Bittensor Gains 15% Amid Unconfirmed Grayscale Rumors - Decrypt

05/23/2024 08:59
Decentralized AI Platform Bittensor Gains 15% Amid Unconfirmed Grayscale Rumors - Decrypt

Its 15% gain in the past day means that TAO is outperforming all the meme OGs that have gotten a boost from Ethereum ETF approval hype.

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Decentralized AI project Bittensor has seen its native token, TAO, gain 15% in the past day. It seems to have been helped along by an unconfirmed rumor that longstanding digital asset manager Grayscale plans to register a new trust that tracks the token. But that's not the only recent news for the project.

At the time of writing on early Thursday morning, the Bittensor price has climbed 15% in the past day to trade for $483.10. That's a 24% gain compared to this time last week, according to CoinGecko data.

That makes TAO the best performing asset in the top 100 on CoinGecko at the time of writing, beating ETH meme coin darling PepeCoin. PEPE and other meme OGs like Dogecoin and Shiba Inu, have all seen sizable gains as investors wait with bated breath to see if the Securities and Exchange Commission will approve a spot Ethereum ETF to trade.

A pseudonymous Crypto Twitter user, CEYEBER—who founded the official Bittensor Community Channel on Telegram—claims to have had the Grayscale rumor "confirmed by close sources." But if it's real, there's still no sign of it in Securities and Exchange Commission filings.

The grayscale trust $TAO has been confirmed by close sources. Bittensor is huge, $TAO is the asset.

— CEYEBER ττ , ϙ (@EyeofCyber) May 22, 2024

If the TAO offering were going to be another close-end fund available over-the-counter to wealthy investors—like the Grayscale Bitcoin Trust was before it was converted to a spot ETF and the rest of the firm's single asset funds still are—then there would likely be a Regulation D filing. More recently, in March, Grayscale filed to establish a Grayscale Bitcoin Mini Trust as a new spot BTC offering with an S-1 registration.

Neither type of filing has been submitted at the time of writing. In fact, "Bittensor" doesn't appear in any SEC filings at all going back to 2001. But that doesn't mean it's impossible. Grayscale did not immediately respond to a request for comment from Decrypt.

But the rumor isn't the only bullish news for the decentralized AI project.

The Taobot, a component of the Bittensor ecosystem, has been having a good week. On Tuesday, the team announced it had been accepted as one of the first projects to join Akash Network's LlaMa 3 API beta.

We’re thrilled to announce that $TAOBOT is among the first projects accepted into the @akashnet_ LlaMa 3 API beta!

Akash is now live on our Interact platform, offering direct access to LlaMa 3 8B and serving as the fallback for Subnet 18, @Corcel_X.

Akash is the world’s… pic.twitter.com/cQEV4hoX2z

— tao.bot (τ, τ) (@taodotbot) May 21, 2024

Akash network made a big splash last month when it announced that its chat supports supports Llama 3, the newest open source model from Meta AI.

"Test the newest model from Meta AI for yourself without creating an account," the project wrote on Twitter at the time. "Completely free and permissionless."

The Taobot team has also started working with the Bittensor Subnet 15 project, Blockchain Insights to allow users to to use simple language to analyze blockchain data.

$TAOBOT 🤝 Blockchain Insights (SN15, ο)

Imagine asking: “How many Uniswap $ETH/ERC20 swap transactions occurred on Wednesday, between 7 and 15 UTC?” and getting a clear, easy-to-understand response.

We're thrilled to announce our partnership with Blockchain Insights, Subnet 15… pic.twitter.com/N7i2WtQCd7

— tao.bot (τ, τ) (@taodotbot) May 22, 2024

The subnet has been working to organize blockchain data across multiple networks, like TK and TK, in the interest of making complex data queries more efficient.

"Our integration will empower users to perform diverse blockchain queries, from simple transactions to DeFi protocol analytics and NFT exchanges," the Taobot team wrote on Twitter yesterday. "The ultimate ambition is to create an LLM that can transform questions like these into precise queries and relay the subnet’s response, complete with a detailed explanation."

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