Welcome back to the Scholar AI Founders podcast! As always, you can follow us on all major podcast platforms as well as our YouTube channel. Don’t forget to subscribe and leave your comments. We’ll be sure to address them in upcoming episodes. Today, we’re joined by Scott, a recent Duke graduate and a member of the Scholar AI engineering team. Lu Shay introduces Scott and sheds light on his journey and what he brings to the team.
Scott is a versatile engineer with a keen interest in technology. Hailing from Duke, Scott brings a rich background of experience ranging from data science at JP Morgan to being a rocket scientist in China. During his academic years, he explored Rust-based language models and now, with Scholar AI, he focuses on tasks like content extraction and the organization of learning management materials. Despite his technical focus, Scott is equally passionate about creativity, demonstrated through his hobbies of photography, drawing, and designing for his brand, Balman.
Scott describes his transition from traditional roles at JP Morgan and rocket science to a more flexible and creative environment at Scholar AI. He appreciates the freedom to explore his interests, contribute to innovations, and the opportunity to merge his diverse skills.
Scott’s excitement for technology is palpable. He envisions a future where AI streams line workflows, promoting a more creative society and eliminating mundane tasks. Both Scott and Lu Shay reflect on the current state of AI tools such as ChatGPT and GitHub Copilot, recognizing their potential but acknowledging the gaps in context and precision.
On the creative end, Scott shares his artistic endeavors and how they contribute to his engineering mindset. He discusses using technologies like Eleven Labs’ new models for reducing noise and turning famous voices into AI voice-overs. Such tools expand creative potential, which Scott appreciates in both his artistic and engineering work.
The conversation pivots to cryptocurrencies, addressing the complexities and potential of blockchain technology. Scott explains the nuanced difference between trading cryptocurrencies and investing in blockchain technology. He emphasizes the future potential of blockchain, AI, and their implications in sectors like research, cloud storage, and beyond.
Scott, Lu Shay, and Shashi touch on various topics from the promise of Vall (Vertical Takeoff and Landing) to the influence of mobile gamification on habits and Vice. They dive into how regulatory environments affect the development of such technologies and the psychological implications of mobile platforms designed for user engagement.
Finally, the team explores the intersection of AI and blockchain within Scholar AI and beyond. They discuss proof of stake and proof of work technologies and their potential for trust systems. The conversation circles back to how these technologies can converge to create robust knowledge-sharing systems.
Scott’s multifaceted experience shines through in this informative episode, offering listeners valuable insights into the rapidly evolving technological landscape and its future possibilities.
1. Who is Scott and what is his background? Scott is a recent Duke graduate and a member of the Scholar AI engineering team. He has a diverse background, including data science at JP Morgan, rocket science in China, and Rust-based language model research.
2. What does Scott work on at Scholar AI? Scott focuses on content extraction, organization of learning management materials, and developing algorithms for more accurate data extraction and OCR.
3. How does Scott view the future of AI in technology? Scott envisions AI streamlining workflows, reducing mundane tasks, and promoting a more creative society by offering tools that assist with creative work.
4. What are Scott's creative hobbies? Scott is a photographer, artist, and designer for his brand, Balman. He also creates NFTs and draws inspiration from dreams.
5. What regulatory challenges are mentioned in relation to Vall? Scott and the team discuss how the regulatory environments, particularly in the aviation sector, pose significant hurdles for Vall technology, affecting its development and mainstream adoption.
6. How does mobile gamification impact societal habits according to the podcast? Mobile gamification attracts user attention through bright colors and reward systems, which can lead to addictive behaviors similar to gambling or dependencies on other vices.
7. What is the relationship between AI and blockchain discussed in the episode? The team discusses how AI and blockchain technologies have the potential to converge and create robust trust systems, increasing transparency and efficiency in various applications.
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