AI network Bittensor's crypto token is up more than 90% as market cap hits $3 billion

Quick Take

  • The token for Bittensor, the network geared toward incentivizing the development of open-source artificial intelligence, eclipsed a market capitalization of $3 billion.
  • $TAO has risen by more than 90% in two weeks.
  • Developers who use Bittensor, the protocol developed by the Opentensor Foundation, are rewarded with the $TAO token when they create AI models that are deemed useful. 

The Bittensor network's token has been skyrocketing as the organization which developed the protocol, the Opentensor Foundation, hopes to offer an open-source alternative amid the artificial intelligence arms race. 

Bittensor's $TAO token has risen by more than 90% during the past two weeks and surpassed a market capitalization of $3 billion on Tuesday, according to The Block's Price Page. The token was up 12% and trading at $482.39 as of 12:51 p.m. ET, also according to CoinGecko.

About a week ago, Ethereum founder Vitalek Buterin appeared to express support for Bittensor. In a blog post, Buterin said that Bittensor offered an opportunity to incentivize the creation of better AI by offering financial incentives. "'Using crypto incentives to incentivize making better AI' can be done without also going down the full rabbit hole of using cryptography to completely encrypt it: approaches like Bittensor fall into this category," he wrote.

On a macro level, the intersection of AI and blockchain appears to be complimentary, with blockchain possibly providing a way to curb some of the threats posed by artificial intelligence, for example by ensuring the data used by large language models are trustworthy. Simultaneously, many technological thought leaders fear a world where closed, centralized companies like OpenAI and Google wield a disproportionate amount of control over how perhaps the most powerful and dangerous technology of the 21st century is deployed.

Rewarding open-source AI developers

Opentensor Foundation aspires to protect against the risks of a few companies dominating AI by incentivizing open-source development of the burgeoning technology through financial incentives.

"Bittensor interconnects neural networks on the internet, and has created a global, distributed, and incentivized machine learning system that rewards high-performing AI tools with a cryptocurrency," according to a statement. "AI developers that use Bittensor are financially rewarded for creating AI models that are useful, while discouraging AI developers from creating models that are poorly made or don’t solve real world problems."

The network encourages competition among developers, according to Opentensor Foundation co-founder and COO Ala Shaabana. "People on the system will compete with each other to provide the best possible output," he told The Block. "If I'm doing better than you I'm going to get more reward because my model is doing better."

Bittensor has nearly 70,000 active accounts and has issued about 5.8 million $TAO tokens, according to the network's website

Bittensor's incentive mechanism rewards "honestly selected weights," which makes the system "resistant to collusion of up to 50 percent of the network weight," according to the network's whitepaper. "The result is a collectively run intelligence market that continually produces newly trained models and pays contributors who create information theoretic value."


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About Author

RT Watson is a senior reporter at The Block who covers a wide array of topics including U.S.-based companies, blockchain gaming and NFTs. Formerly covered entertainment at The Wall Street Journal, where he wrote about Disney, Netflix, Warner Bros. and the creator economy while focusing primarily on technological disruption across media. Previous to that he covered corporate, economic and political news in Brazil while at Bloomberg. RT has interviewed a diverse cast of characters including CEOs, media moguls, top influencers, politicians, blue-collar workers, drug traffickers and convicted criminals. Holds a master's degree in Digital Sociology.

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