谁是雅各布·罗伯特·斯蒂夫斯（Jacob Robert Steeves）？ Bittensor的联合创始人

总部位于秘鲁的雅各布·罗伯特·史蒂夫斯（Jacob Robert Steeves）是Bittensor的联合创始人，Bittensor是一项支持分散的机器学习网络的开源协议

Key Takeaways:

关键要点：

* Jacob Robert Steeves, based in Peru, is the Co-founder of Bittensor, an open-source protocol supporting a decentralized machine-learning network built on blockchain technology.

*总部位于秘鲁的雅各布·罗伯特·史蒂夫斯（Jacob Robert Steeves）是Bittensor的联合创始人，Bittensor是一项支持分散的机器学习网络的开源协议，建立在区块链技术的基础上。

* He is also recognized for his contributions in adaptive computing and artificial intelligence during his time at Knowm Inc., further enhancing his expertise in the field.

*他在Knewm Inc.期间在自适应计算和人工智能方面的贡献也得到认可，进一步增强了他在该领域的专业知识。

* After completing his studies at Simon Fraser University with a Bachelor of Applied Science (BASc) in Mathematics and Computer Science between 2011 and 2015, Steeves continued his journey at Knowm Inc., serving as a Machine Learning Researcher from 2015 to 2016.

*在2011年至2015年之间，在西蒙·弗雷泽大学（Simon Fraser University）获得了数学和计算机科学学士学位（BASC）的学士学位后，Steeves继续在Knowm Inc.旅行，并从2015年到2016年担任机器学习研究人员。

* Subsequently, he joined Google as a Software Engineer, working productively from December 2016 to April 2018.

*随后，他从2016年12月至2018年4月加入Google担任软件工程师。

* At Google, he had the opportunity to work on large systems, software development, and decentralized technology, which later influenced his work on Bittensor.

*在Google，他有机会从事大型系统，软件开发和分散技术，后来影响了他在Bittensor上的工作。

* In 2016, together with a team of passionate innovators, Steeves co-founded Bittensor, a decentralized network that provides accessible machine learning models.

* 2016年，Steeves与一个热情的创新者团队共同创立了Bittensor，Bittensor是一个分散的网络，可提供可访问的机器学习模型。

* Unlike traditional AI platforms operated by a few large companies, Bittensor adopts the principles of Bitcoin to keep AI open, transparent, and free from control.

*与一些大型公司经营的传统AI平台不同，Bittensor采用了比特币的原理来保持AI开放，透明和不受控制。

* The network enables developers, researchers, and users to collaborate without relying on a central group, fostering a collective effort to advance AI.

*该网络使开发人员，研究人员和用户能够在不依赖中央集团的情况下进行协作，从而促进了促进AI的集体努力。

* Through blockchain technology, Bittensor supports a decentralized AI network, inviting individuals to join and contribute to earn rewards for their actions.

*通过区块链技术，Bittensor支持一个分散的AI网络，邀请个人加入并为自己的行动赢得奖励。

* This setup encourages open participation, shared decision-making, and the aggregation of global computing power.

*这种设置鼓励公开参与，共同的决策以及全球计算能力的汇总。

* By applying blockchain rules to the domain of AI, Bittensor creates a system where machine learning models are continuously improved and remain available to all.

*通过将区块链规则应用于AI的域，Bittensor创建了一个系统，可以在其中不断改进机器学习模型并保持所有人可用。

* Bittensor operates on TAO, its native cryptocurrency, which incentivizes individuals to contribute to the improvement of AI.

* Bittensor在其本地加密货币的Tao上运作，该货币激励个人为改善AI做出贡献。

* Developers and node operators, for instance, earn TAO for their code contributions, software development, and providing computing power to the network.

*例如，开发人员和节点运营商为其代码贡献，软件开发以及为网络提供计算能力而赚取TAO。

* TAO also allows users to access valuable AI insights, participate in proposals and vote on crucial network decisions, stake their tokens to support the network and secure their role in it, and pay for AI services within the Bittensor ecosystem.

* TAO还允许用户访问有价值的AI洞察力，参与提案并对重要的网络决策进行投票，将其代币放置以支持网络并确保其在IT中的作用，并在Bittensor Ecosystem中支付AI服务。

* In an episode of Towards Data Science, machine learning researchers Ala Shaabana and Jacob Steeves discuss the challenges of devising fair metrics for measuring and rewarding AI research.

*在《迈向数据科学》的一集中，机器学习研究人员Ala Shaabana和Jacob Steeves讨论了设计公平指标来衡量和奖励AI研究的挑战。

* Shaabana, a researcher at DeepMind, highlights the difficulty of attributing contributions in collaborative projects, especially when considering projects like GPT-3, which integrate knowledge from the entire web.

* DeepMind的研究人员Shaabana强调了在协作项目中归因于贡献的困难，尤其是在考虑GPT-3之类的项目时，这些项目整合了整个网络中的知识。

* They also touch upon the issue of a few large companies controlling the most powerful AI models, such as PaLM 2 and LLaMA, making it harder for others to innovate due to limited access to high-performance models.

*他们还谈到了一些控制最强大的AI模型的大型公司的问题，例如Palm 2和Llama，因此由于获得高性能模型的访问量有限，因此其他人更难创新。

* In contrast, Bittensor is an open-source protocol supporting a decentralized machine-learning network.

*相反，Bittensor是支持分散的机器学习网络的开源协议。

* It is being built by a community of developers and researchers who are working together to create a new paradigm for AI, one that is decentralized, accessible, and ultimately more useful for everyone.

*它是由一个由开发人员和研究人员组成的社区建立的，他们共同努力为AI创建新的范式，该范式是分散，易于访问且最终对每个人都更有用的开发范式。

* As AI technology continues to advance at an unprecedented pace, the implications for society are vast and varied.

*随着人工智能技术继续以前所未有的速度发展，对社会的影响是巨大而多样的。

* From automating tasks and improving efficiency to enabling new forms of creativity and self-expression, AI is set to transform many aspects of human life.

*从自动化任务和提高效率到实现创造力和自我表达的新形式，AI将改变人类生活的许多方面。

* However, as AI systems become increasingly sophisticated, there are also concerns about the potential for misuse or the creation of systems that may not align with human values.

*但是，随着AI系统变得越来越复杂，人们对滥用的潜力或可能与人类价值观不符的系统的创建也存在担忧。

* In particular, the growing dependence on a few large companies for the development and deployment of AI technology raises questions about the long-term sustainability and inclusiveness of the industry.

*特别是，对一些大型公司开发和部署AI技术的依赖日益增长，引发了有关该行业的长期可持续性和包容性的问题。

* In this context, Bittessor offers a unique and promising vision for the future of AI.

*在这种情况下，Bittessor为AI的未来提供了独特而有希望的愿景。

* The protocol is designed to be a chain-agnostic modular protocol, capable of integrating with any blockchain and supporting multiple use cases.

*该协议设计为一种链条无形的模块化协议，能够与任何区块链集成并支持多种用例。

* It is also completely open-source, inviting developers and researchers around the world to contribute to its development.

*它也是完全开源的，邀请世界各地的开发人员和研究人员为其开发做出贡献。

* By combining the principles of blockchain and machine learning, Bittensor aims to create a more decentralized, cooperative, and ultimately beneficial ecosystem for AI.

*通过结合区块链和机器学习的原则，Bittensor旨在为AI创建一个更加分散，合作，最终是有益的生态系统。