Bit Tensor Tao

Extracted Attributes

• Governance

  Permissionless and decentralized

• Token Symbol

  TAO

• Core Function

  Marketplace where intelligence is priced by other intelligence systems

• Protocol Type

  Open-source, peer-to-peer decentralized machine learning network

• Economic Model

  Bitcoin-like with 4-year halving cycles

• Maximum Supply

  21,000,000 TAO

Timeline

• Bittensor project is founded to create a decentralized AI market. (Source: Web Search)

  2019-01-01

• The Bittensor network and TAO token are officially launched via a fair-launch mechanism. (Source: Web Search)

  2021-01-01

• Bit Tensor Tao and Ridges AI are noted for gaining traction as decentralized competitors in the agentic AI space. (Source: fccfeb90-332d-499c-b8d7-0026207a2740)

  2024-10-24

Block floating point

Block floating point (BFP) is a method used to provide an arithmetic approaching floating point while using a fixed-point processor. BFP assigns a group of significands (the non-exponent part of the floating-point number) to a single exponent, rather than single significand being assigned its own exponent. BFP can be advantageous to limit space use in hardware to perform the same functions as floating-point algorithms, by reusing the exponent; some operations over multiple values between blocks can also be done with a reduced amount of computation. The common exponent is found by data with the largest amplitude in the block. To find the value of the exponent, the number of leading zeros must be found (count leading zeros). For this to be done, the number of left shifts needed for the data must be normalized to the dynamic range of the processor used. Some processors have means to find this out themselves, such as exponent detection and normalization instructions. Block floating-point algorithms were extensively studied by James Hardy Wilkinson. BFP can be recreated in software for smaller performance gains.

Web Search Results

• What is Bittensor (TAO)? | Uphold

  Logo article-what-is-bittensor-tao-desktop.png ## What is Bittensor (TAO)? #### What is Bittensor (TAO)? Bittensor is an open-source, peer-to-peer, decentralized, and permissionless machine learning network. Bittensor (TAO)’s whitepaper starts with the premise that artificial intelligence has become a commodity: it is ‘extensively mined from data’, ‘monetarily valuable’, ‘transferable’, and ‘generally useful’. By this logic, Bittensor’s whitepaper states that artificial intelligence, a new type of commodity, needs a new type of market to help produce it efficiently. Bittensor is the proposed solution - a network described as a collectively-run, decentralized market where ‘intelligence is priced by other intelligence systems peer-to-peer across the internet’. What does that mean? [...] #### What does the TAO token do? TAO is a digital token which functions as currency within the Bittensor network. TAO is required to purchase access to machine learning models on the network, to reward validators and miners, and to reward researchers who contribute new machine learning models to the network. TAO follows the same tokenomics as Bitcoin. TAO has a maximum supply of 21 million tokens, and like Bitcoin, has a four-year halving cycle. For a visual representation of the token’s emission over time, check out Taostats. #### Brief project background Bittensor was founded in 2019. The network and TAO token launched in 2021. TAO was distributed via fair-launch, meaning no tokens were pre-mined. #### Where Bittensor (TAO) sees itself going [...] What does that mean? Bittensor invites users to submit their own machine learning models to the network. These are then tested and trained by other neural networks on Bittensor, and ranked by value. Ranks are recorded on Bittensor’s digital ledger. You can think of it almost as a judgment-free way of ranking artificial intelligence systems: AI models on Bittensor are ranked for their efficiency and accuracy, regardless of the task they are being trained for. High-ranking peers are rewarded with additional weight in the network. Bittensor’s whitepaper outlines the benefits of this system compared to centralized alternatives as being: The ability to reward AI models which can applied to a larger set of objectives More esoteric or legacy systems can be monetized for their unique value

• Bittensor | Bittensor TAO™ | Home

  Bittensor is a decentralized protocol designed to facilitate the development and deployment of machine learning models. It allows individuals and organizations to contribute their models to a shared network, enabling collaborative learning without the need for centralized control. By leveraging blockchain technology, Bittensor creates a trustless environment where AI models can be trained, shared, and utilized while maintaining data privacy. Key Objectives of Bittensor Decentralization: Bittensor aims to eliminate the centralization of AI development, allowing anyone to participate in the training and improvement of machine learning models. [...] Bittensor is at the forefront of a revolutionary shift in the way we approach machine learning and AI. By combining decentralized technology with collaborative learning, Bittensor offers a unique solution that addresses many of the challenges facing traditional AI development. Its innovative architecture, incentivization mechanisms, and commitment to privacy and security position it as a promising player in the evolving landscape of decentralized technologies. [...] 4. Model Training and Sharing Bittensor enables users to train machine learning models using decentralized datasets. Once trained, models can be shared with the network, allowing other participants to leverage them for their applications. This collaborative approach not only speeds up the development process but also enhances the overall quality of AI models available in the ecosystem.

• Bittensor

  And humanistically, open-ownership systems are tools for the bottom-up placing of these resources, directly into people's hands. Bittensor is the ecosystem and TAO is the mycelial network connecting humanity with the future of Artificial Intelligence, such that its control can be ethically united with a life-affirming and truly democratic future for humanity, alongside machines. We are approaching a forking point for mankind; down one road is the centralization of power and resources, in large regulated industries, who have entrenched and overbearing access to the best-in-class intelligence and computers. Down the other road is the potential for sharing these resources through open protocols, via technological foundations, which enable global participation and ownership. [...] Bittensor gives you all of it: an AI team, a storage team, a compute team, and anything else that can be dreamed of - all under a single token framework, turning TAO holders into effective Decentralized Cloud Providers, backed by an incentivized, adapting and ever-improving infrastructure. TAO is the bridge between clients and this mega-computer, plus the resources that are being created, through various subnetwork mechanisms, in Bittensor. This is the main functionality of TAO. Functionality, which hitherto was only within the reach of immense supercorps like OpenAI, is now accessible - in one non-permissioned place. [...] Bittensor is like Bitcoin in many ways. It has a transferrable and censorship resistant token, TAO, which runs on a 24/7 decentralized blockchain substrate which is auditable and transparent. Bittensor is also run by miners, like Bitcoin, who can exist globally and anonymously.

• Bittensor Price: TAO/USD Live Price Chart, Market Cap & News Today | CoinGecko

  Bittensor is an open-source protocol that utilizes blockchain technology to create a decentralized machine learning network. This network enables machine learning models to train collaboratively and be rewarded in TAO according to the informational value they offer the collective. Additionally, Bittensor's TAO grants external access to users, allowing them to extract information from the network while tuning its activities to meet their needs. The ultimate vision of Bittensor is to create a market for artificial intelligence, allowing producers and consumers of this commodity to interact in a trustless, open, and transparent context. Bittensor provides a novel strategy for developing and distributing artificial intelligence technology, promoting open access/ownership, decentralized

• Bittensor TAO: The Definitive Beginner’s Guide | by Tao Finney | Medium

  5. Economic Model: The TAO token underpins the economic model of the Bittensor network. It is designed to balance the supply and demand of computational resources, align incentives among participants, and facilitate the exchange of value within the ecosystem. 6. Access to Services: Users who need machine learning services provided by the Bittensor network may need to pay for these services using TAO tokens. This creates a market for machine learning services where tokens can be exchanged for computational work, such as data analysis, model training, or predictions. [...] The TAO token is integral to the functioning of the Bittensor network, as it provides the economic and incentive structure that enables a decentralized machine learning marketplace. By aligning the interests of various stakeholders through token-based incentives, Bittensor aims to create a sustainable and participatory ecosystem for decentralized AI development and services. ## How Does Bittensor Work? Just like Bitcoin, Bittensor operates on a decentralized network. This means there’s no single point of control or failure. Instead of having one central server that does all the work, Bittensor spreads the work across many different machines owned by individuals, known as ‘miners’. [...] In Bittensor, miners contribute their machine-learning models to the network. These models can be thought of as workers that analyze data and provide insights. Miners are rewarded with cryptocurrency tokens for their contributions, similar to how Bitcoin miners earn Bitcoin for verifying transactions. Bittensor uses a unique consensus mechanism to ensure that the network agrees on the best response. When a question is asked, multiple models (miners) provide their answers. The network then uses a system to determine the best response from the collective input, which is then sent back to the user.