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Decentralized AI on #Bittensor is how small teams win Great piece on how builders can access powerful AI without giving up control Shoutout to our Yuma-backed subnets: @getmasafi (SN42 & SN59) @Playinfgames (SN6) @SturdyFinance (SN10) @_redteam_ (SN61)
去中心化人工智能在#Bittensor上是小团队获胜的方式 关于建设者如何在不放弃控制权的情况下使用强大AI的精彩文章 向我们Yuma支持的子网致敬: @getmasafi (SN42 & SN59) @Playinfgames (SN6) @SturdyFinance (SN10) @_redteam_ (SN61)
Decentralized AI is how small teams win Great piece on how builders can access powerful AI without giving up control Shoutout to our Yuma-backed subnets: @getmasafi (SN42 & SN59) @Playinfgames (SN6) @SturdyFinance (SN10) @_redteam_ (SN61) #Bittensor
去中心化AI是小团队获胜的方式 关于建设者如何在不放弃控制权的情况下使用强大AI的精彩文章 向我们Yuma支持的子网致敬: @getmasafi (SN42 & SN59) @Playinfgames (SN6) @SturdyFinance (SN10) @_redteam_ (SN61) #Bittensor
“How Small Businesses Can Compete With Tech Giants Using Decentralized AI” NEW @Inc article highlights how decentralized AI is breaking the monopoly—giving small-business and builders affordable and customizable AI tools. Masa is featured as one of the leading Bittensor $TAO subnets, enabling real-time, structured data for AI, alongside @SturdyFinance, @Playinfgame & @_redteam_. By @torcon 🔗 https://t.co/fR4hEMZa5B
新的@Inc文章强调了去中心化AI如何打破垄断——为小企业和开发者提供经济实惠且可定制的AI工具。Masa作为领先的Bittensor $TAO子网之一被特别介绍,与@SturdyFinance、@Playinfgame和@_redteam_一起,为AI提供实时结构化数据。作者:@torcon
"How Small Businesses Can Compete with Tech Giants by Using Decentralized AI Great insights" by @torcon for @Inc Including insights from @shibshib89 “A centralized model forces you to trust a single entity with all decision-making power,” says Ala Shaabana, co-founder of Bittensor, a leading decentralized AI project. “Decentralized AI is different—it allows a network of independent contributors to build and refine AI together, without relying on a single gatekeeper.” “The cost efficiency of decentralized AI is one of its biggest advantages,” Shaabana notes. “Instead of paying a tech giant for AI access, businesses can contribute their own computational resources to the network and receive AI services in return.” Decentralized AI models already support applications such as chatbots, predictive analytics, and automation. Specific examples in the decentralized AI space include: @SturdyFinance: AI-powered DeFi lending protocol for yield optimization. @Playinfgames: It’s building super-forecasters, similar to Polymarket that correctly predicted the 2024 election outcome. @getmasafi: Enabling structured real-time data. @_redteam_: Committed to solving real-world cybersecurity challenges. Read the full interview below
小企业如何通过使用去中心化AI与科技巨头竞争 很棒的观点" 作者@torcon,发布于@Inc 包含@shibshib89的见解 "集中式模型迫使你信任一个拥有所有决策权的单一实体,"领先的去中心化AI项目Bittensor的联合创始人Ala Shaabana说。"去中心化AI是不同的——它允许一个由独立贡献者组成的网络共同构建和完善AI,而不依赖于单一的守门人。" "去中心化AI的成本效益是其最大优势之一,"Shaabana指出。"企业可以向网络贡献自己的计算资源,以换取AI服务,而不是向科技巨头支付AI访问费用。" 去中心化AI模型已经支持聊天机器人、预测分析和自动化等应用。去中心化AI领域的具体例子包括: @SturdyFinance:AI驱动的DeFi借贷协议,用于收益优化。 @Playinfgames:正在构建超级预测器,类似于正确预测2024年选举结果的Polymarket。 @getmasafi:支持结构化实时数据。 @_redteam_:致力于解决现实世界的网络安全挑战。 阅读下面的完整采访