Bittensor subnets replace centralized networks with decentra | JosephJacks_ på Binance Square

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Bittensor subnets replace centralized networks with decentralized neural network markets.

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@JosephJacks_

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Bittensor incentive mechanisms are open source neural network training algorithms / code for driving the production of continuously improving digital commodities. Each Bittensor subnet defines an AI model (which is the IM protocol, miner code and validator code) … these models are abstract and can learn anything … through the power of permissionless, decentralized and extrinsically incentivized incentives.

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Bittensor literally invented and created the category of decentralized, permissionless and incentivized AI. First and only production network doing this. Lots of very heavily VC funded pre-mine crypto startups now copying and catching up … but should really just join $TAO.

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Bitcoin makes capital borderless. Bittensor makes capitalism borderless.

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ATH (8.16%) of TAO in subnets … 📈 @taoapp_ This was zero 115 days ago. $275M + of inflows based on current $TAO price which is 15-20X undervalued.

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ELI5 for the huge @taohash subnet 14 update we dropped today… - We’re moving to share based evaluations instead of pure hash rate. - Adds support for high difficulty miners. This was a bottleneck which didn’t allow high powered machines to participate in the network. - Adds support for solo mining & other pools instead of only Braiins. This is a big one. - We added 2 proxy implementations, lightweight one for miners and batteries included for validators (although miners can also the full one with some tweaks). This open source proxy is probably the only one which is built with latest tech, previous open source implementations are very old (~10 years). - Dashboards are included to see real time stats along with full share accounting. - Adds the groundwork for miners to earn BTC as well, with inspiration from TIDES framework. This is the next step. - Also now we won’t depend on third-party services to help us evaluate miners; we can do it on our own and tweak it as we want moving forward.

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