My favourite token is Ethereum ! Because Ethereum is the second-biggest cryptocurrency by market cap after Bitcoin . Ethereum has become very popular investment and I love Ethereum so much ! Why is Ethereum and not Bitcoin, The main thing that sets Ether apart from Bitcoin is its open-source network. Bitcoin's blockchain can only be used to mine the cryptocurrency, but developers can build decentralized apps, tokens, and other crypto assets on the Ethereum Network. Also I trust Ethereumâs creator Vitalik , he is ver smart !
Ether holds many investors all over the globe ! For that reasons I do love Ethereum and Thatâs why Ethereum is my favourite Token ! Long live Ethereum !
Bittensor is revolutionizing the development of machine learning platforms by decentralizing the process and creating a peer-to-peer market for machine intelligence. It enables the collective intelligence of AI models to come together, forming a digital hive mind. This decentralized approach allows for the rapid expansion and sharing of knowledge, akin to an unstoppable library of knowledge that grows exponentially. By harnessing the power of distributed networks and incentivizing collaboration, Bittensor is driving innovation and pushing the boundaries of machine learning. The Bittensor protocol establishes a marketplace that transforms machine intelligence into a tradable commodity. By creating an open and accessible network, it fosters innovation from a diverse global community of developers.
How does the Bittensor Protocol work?
The Bittensor Protocol is a decentralized machine learning protocol that enables the exchange of machine learning capabilities and predictions among participants in a network. It facilitates the sharing and collaboration of machine learning models and services in a peer-to-peer manner.
Mining
Miners in the Bittensor network provide machine learning services by hosting and serving their locally hosted machine learning models. When a client application requires a prediction, it sends a request to the Bittensor network, which routes the request to a miner that has registered itself as a provider for the required service. The miner processes the request using its locally hosted machine learning model and returns the prediction . Which problem does Bittensor want to solve? Training AI models require vast amounts of data and computing power, which is mostly accessible to large corporations and research institutions due to its high cost. This concentration has led to permissioned and siloed AI models, limiting collaboration and hindering compounding effects in AI development.
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