Founders of Web3 ep 7: Interview with Illia Polosukhin from NEAR

TL;DR

Alia, co-founder of Near Protocol, discusses their pragmatic approach to web 3 and the importance of developer friendliness.

Transcript

welcome to the founders of web three series by out live inches and me your host Jamie Burke together we're going to meet the entrepreneurs their backers and the leading policy makers that are shaping web 3 together we're going to try to define what is web 3 explore its nuances and understand the mission and purpose the drivers founders if you enjoy... Read More

Key Insights

• 🌉 Near Protocol is a developer-friendly platform that aims to bridge the gap between centralized and decentralized finance.
• 🏛️ Alia's background in natural language processing and machine learning has influenced her approach to building Near Protocol.
• 🎰 Machine learning has potential in the future of smart contracts, but it is still in the early stages of exploration.

Questions & Answers

Q: How did Alia's work at Google and experience with machine learning contribute to the development of Near Protocol?

Alia's work at Google focused on natural language processing and machine translation. This experience gave her insights into the evolution of machine learning and how it could be applied to Near Protocol.

Q: What is the importance of developer friendliness in Near Protocol?

Alia and her co-founder recognized the need for a developer-friendly platform in the blockchain space. They wanted to make it easier for developers to build applications and access the benefits of blockchain technology.

Q: How does Alia envision the coexistence of centralized and decentralized finance?

Alia believes that both centralized and decentralized finance will coexist for the foreseeable future. Near Protocol aims to build bridges between the two systems and provide developers with the tools to navigate this hybrid landscape.

Q: What role does machine learning play in the future of smart contracts?

Alia acknowledges the potential for machine learning in smart contracts but emphasizes that it is still too early to fully explore this integration. Machine learning requires data and users, which are not yet widely available in the blockchain space.

Summary & Key Takeaways

• Alia explains her background in natural language processing and machine learning, specifically in the context of Google and TensorFlow.

• She discusses the ICPC competitions and how their competitive programming background influenced their approach to teaching machines to program.

• Alia and her co-founder recognized the limitations of blockchain and decided to build Near Protocol as a developer-friendly platform.