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NFTs, Machine Learning & The Real Vision Bot Origin

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March 4, 2022
by
Real Vision
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NFTs, Machine Learning & The Real Vision Bot Origin

TL;DR

Twoquants discuss their journey into NFTs and the Real Vision Bot.

Transcript

welcome to real vision crypto i'm ash bennington today i'm joined by moritz haydn and moritz siebert they run twoquats.com a quantitative trading blog that is expanded to cover nfts and of course they also join us here at real vision where they co-head our digital innovation group today we talk about the real vision bot community building and digit... Read More

Key Insights

  • Moritz Heiden and Moritz Seibert, known as twoquants, are quantitative traders who have ventured into NFTs and digital innovation.
  • They initially struggled to scale their subscription-based blog, leading them to offer content for free and focus on community building.
  • Their journey into NFTs began with creating a digital version of a popular physical print, which sparked interest in further NFT development.
  • The Real Vision Bot was developed to analyze Real Vision's video content, providing insights into market sentiment and trends.
  • The bot uses machine learning to scrape and process video transcripts, overcoming challenges such as data inconsistencies and language barriers.
  • Their work with the Real Vision Bot has expanded into a broader digital innovation strategy at Real Vision, focusing on NFTs and community engagement.
  • The twoquants emphasize the importance of flexibility and creativity in adapting to the rapidly evolving digital asset landscape.
  • Their NFT project, "Affe mit Waffe," has become a notable symbol within their community, demonstrating the potential of digital art and collectibles.

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Questions & Answers

Q: What inspired Moritz Heiden and Moritz Seibert to explore NFTs?

Their interest in NFTs was sparked by the success of a digital version of a popular print they had created. Initially involved in quantitative trading, they ventured into NFTs after realizing the potential of digital art and collectibles. The ease of creating an NFT from their print and the positive reception it received encouraged them to explore this space further.

Q: How did the Real Vision Bot come into existence?

The Real Vision Bot was developed as a solution to the limited time available to watch all Real Vision videos. Moritz Heiden built a machine learning engine that scraped video transcripts to identify topics and trends, providing a more efficient way to engage with the content. This project evolved into a comprehensive tool for analyzing market sentiment and trends.

Q: What challenges did they face in developing the Real Vision Bot?

Developing the Real Vision Bot involved significant challenges, such as handling inconsistent data formats and language barriers in transcripts. They had to correct errors, standardize data, and create a machine-readable database. These efforts were crucial in ensuring the bot's effectiveness in analyzing video content accurately.

Q: What role does the Real Vision Bot play in their digital strategy?

The Real Vision Bot is central to their digital innovation strategy, providing valuable insights into market sentiment and trends. By analyzing video content, the bot helps identify emerging topics and influential figures, informing their approach to community building and digital asset development. It represents a key component of their broader focus on technology-driven solutions.

Q: How has their work with NFTs impacted their community?

Their NFT projects, such as "Affe mit Waffe," have become significant symbols within their community, illustrating the potential of digital art and collectibles. These projects have fostered engagement and interest, highlighting the intersection of technology and creativity. Their work with NFTs demonstrates the power of digital assets in building and sustaining vibrant communities.

Q: What is the significance of the "Affe mit Waffe" NFT project?

The "Affe mit Waffe" NFT project is a notable example of their work in digital art and collectibles. It has gained recognition within their community, symbolizing their innovative approach to NFTs. This project underscores the potential of digital assets to capture attention and inspire engagement, reflecting the dynamic nature of the digital asset landscape.

Q: How do they view the future of digital assets?

They see the future of digital assets as highly dynamic and evolving, with significant opportunities for innovation and engagement. Their work emphasizes the importance of adaptability and creativity in navigating this landscape. They believe that digital assets, including NFTs, will continue to play a crucial role in shaping the future of finance and technology.

Q: What lessons have they learned from their journey into digital innovation?

Their journey into digital innovation has taught them the importance of flexibility, creativity, and community engagement. They have learned to embrace new technologies and adapt to changing circumstances, focusing on building meaningful connections and exploring the potential of digital assets. These lessons have been instrumental in guiding their strategy and success in the digital space.

Summary & Key Takeaways

  • Moritz Heiden and Moritz Seibert, known as twoquants, transitioned from a subscription-based blog to focusing on community building and digital innovation. They explored NFTs, creating digital versions of popular prints, and developed the Real Vision Bot to analyze video content and market sentiment.

  • The Real Vision Bot uses machine learning to process video transcripts, providing insights into the topics and trends discussed on Real Vision. This project has grown into a broader digital strategy, emphasizing the role of NFTs and community engagement in the digital asset space.

  • Their NFT project, "Affe mit Waffe," highlights the intersection of art and technology, showcasing the potential of digital collectibles. The twoquants' work reflects the dynamic nature of the digital asset landscape and the importance of adaptability and creativity in this field.


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