Alpha Sigma Capital Research已发布了一份关于Bittensor（TAO）的深入报告，该报告旨在建立一个分散的“神经互联网”

Alpha Sigma Capital Research已发布了一份关于Bittensor（TAO）的深入报告，该报告旨在建立一个分散的开源“神经互联网”，以使AI开发和访问民主化。

Alpha Sigma Capital Research has released an in-depth report on Bittensor (TAO), a project aiming to build a decentralized, open-source “neural internet” to democratize AI development and access. The report highlights how Bittensor contrasts sharply with the prevailing model—where a handful of corporate giants control data, compute, and advanced models—by implementing a peer-to-peer network in which AI models collaborate, compete, and are financially rewarded according to the value they contribute to the system.

Alpha Sigma Capital Research已发布了一份有关Bittensor（TAO）的深入报告，该项目旨在建立一个分散的开源“神经互联网”，以使AI开发和访问民主化。该报告强调了Bittensor如何通过实施一个点对点网络，在该模型中，少数公司巨头控制数据，计算和高级模型如何形成鲜明对比，在这种模型中，AI模型合作，竞争并根据对系统的价值获得财务上的奖励。

Key Findings

关键发现

Decentralization vs. Centralization

权力下放与集中化

* Problem with Current AI Landscape: Corporate titans (e.g., OpenAI, Google, Meta) aggregate massive datasets, proprietary compute resources, and closed-source models, creating high barriers to entry for smaller innovators.

*当前AI景观的问题：公司泰坦（例如Openai，Google，Meta）汇总了庞大的数据集，专有的计算资源和封闭源模型，为小型创新者提供了很高的入境障碍。

* Bittensor’s Alternative: A peer-to-peer network where any participant can contribute compute or model outputs; contributions are evaluated and rewarded in TAO tokens governed by the network’s Yuma Consensus.

* BITTENSOR的替代方法：一个对等网络，任何参与者都可以在其中贡献计算或模型输出；由网络Yuma共识管理的TAO代币评估和奖励。

The “Neural Internet” Vision

“神经互联网”愿景

* Collaborative Competition: Models hosted on Bittensor compete across subnets, specialized mini-markets within the broader network, ranked by validators on criteria like accuracy, efficiency, and novelty.

*合作竞争：在Bittensor上举办的模型跨子网，更广泛的网络中的专业迷你市场竞争，由验证者在准确性，效率和新颖性等标准上排名。

* Incentive Alignment: TAO tokens facilitate staking, governance, transaction fees, and reward distribution—mirroring Bitcoin’s proof-of-work incentives but for machine intelligence.

*激励对准：TAO代币有助于赚钱，治理，交易费用和奖励分配 - 培训比特币的工作证明激励措施，但用于机器智能。

Founding and Governance

建立和治理

* Leadership: Co-founded in 2019 by Jacob Robert Steeves (ex-Google engineer) and Ala Shabaana, operating under the OpenTensor Foundation.

*领导力：由雅各布·罗伯特·史蒂夫斯（Jacob Robert Steeves）（前木马工程师）和阿拉·沙巴纳（Ala Shabaana）于2019年共同创立，在Opentensor基金会下运营。

* Decentralized Governance: TAO token holders vote on protocol upgrades, emission schedules, and subnet parameters through on-chain governance proposals.

*分散的治理：Tao代币持有人通过链政府建议对协议升级，排放时间表和子网参数进行投票。

To read the full research report, visit [LINK].

要阅读完整的研究报告，请访问[链接]。

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关于Alpha Sigma Capital Research

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