誰是雅各布·羅伯特·斯蒂夫斯（Jacob Robert Steeves）？ Bittensor的聯合創始人

總部位於秘魯的雅各布·羅伯特·史蒂夫斯（Jacob Robert Steeves）是Bittensor的聯合創始人，Bittensor是一項支持分散的機器學習網絡的開源協議

Key Takeaways:

關鍵要點：

* 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.

*總部位於秘魯的雅各布·羅伯特·史蒂夫斯（Jacob Robert Steeves）是Bittensor的聯合創始人，Bittensor是一項支持分散的機器學習網絡的開源協議，建立在區塊鏈技術的基礎上。

* 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.期間在自適應計算和人工智能方面的貢獻也得到認可，進一步增強了他在該領域的專業知識。

* 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年之間，在西蒙·弗雷澤大學（Simon Fraser University）獲得了數學和計算機科學學士學位（BASC）的學士學位後，Steeves繼續在Knowm Inc.旅行，並從2015年到2016年擔任機器學習研究人員。

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

*隨後，他從2016年12月至2018年4月加入Google擔任軟件工程師。

* 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，他有機會從事大型系統，軟件開發和分散技術，後來影響了他在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與一個熱情的創新者團隊共同創立了Bittensor，Bittensor是一個分散的網絡，可提供可訪問的機器學習模型。

* 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.

*與一些大型公司經營的傳統AI平台不同，Bittensor採用了比特幣的原理來保持AI開放，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.

*該網絡使開發人員，研究人員和用戶能夠在不依賴中央集團的情況下進行協作，從而促進了促進AI的集體努力。

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

*通過區塊鏈技術，Bittensor支持一個分散的AI網絡，邀請個人加入並為自己的行動贏得獎勵。

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

*這種設置鼓勵公開參與，共同的決策以及全球計算能力的匯總。

* 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.

*通過將區塊鏈規則應用於AI的域，Bittensor創建了一個系統，可以在其中不斷改進機器學習模型並保持所有人可用。

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

* Bittensor在其本地加密貨幣的Tao上運作，該貨幣激勵個人為改善AI做出貢獻。

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

*例如，開發人員和節點運營商為其代碼貢獻，軟件開發以及為網絡提供計算能力而賺取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還允許用戶訪問有價值的AI洞察力，參與提案並對重要的網絡決策進行投票，將其代幣放置以支持網絡並確保其在IT中的作用，並在Bittensor Ecosystem中支付AI服務。

* 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《邁向數據科學》的一集中，機器學習研究人員Ala Shaabana和Jacob Steeves討論了設計公平指標來衡量和獎勵AI研究的挑戰。

* 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的研究人員Shaabana強調了在協作項目中歸因於貢獻的困難，尤其是在考慮GPT-3之類的項目時，這些項目整合了整個網絡中的知識。

* 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.

*他們還談到了一些控制最強大的AI模型的大型公司的問題，例如Palm 2和Llama，因此由於獲得高性能模型的訪問量有限，因此其他人更難創新。

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

*相反，Bittensor是支持分散的機器學習網絡的開源協議。

* 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.

*它是由一個由開發人員和研究人員組成的社區建立的，他們共同努力為AI創建新的範式，該範式是分散，易於訪問且最終對每個人都更有用的開發範式。

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

*隨著人工智能技術繼續以前所未有的速度發展，對社會的影響是巨大而多樣的。

* 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.

*從自動化任務和提高效率到實現創造力和自我表達的新形式，AI將改變人類生活的許多方面。

* 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，隨著AI系統變得越來越複雜，人們對濫用的潛力或可能與人類價值觀不符的系統的創建也存在擔憂。

* 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.

*特別是，對一些大型公司開發和部署AI技術的依賴日益增長，引發了有關該行業的長期可持續性和包容性的問題。

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

*在這種情況下，Bittessor為AI的未來提供了獨特而有希望的願景。

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

*該協議設計為一種鏈條無形的模塊化協議，能夠與任何區塊鏈集成並支持多種用例。

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

*它也是完全開源的，邀請世界各地的開發人員和研究人員為其開發做出貢獻。

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

*通過結合區塊鍊和機器學習的原則，Bittensor旨在為AI創建一個更加分散，合作，最終是有益的生態系統。