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Video Art Tokenization in 2023

Karolina

24 Aug 2023
Video Art Tokenization in 2023

The vast domain of the artistic sphere features video art as a relatively recent addition, yet one that has established its unique place. As 2023 began, video art gained greater attention and proved to be more than a mere fad. Foundational exhibitions and focused critiques merely touched upon the growth of this art form. However, an interesting metamorphosis was unfolding amidst the praise and curiosity, fueled by the digital era's defining feature: blockchain technology. This led to the emergence of 'video art tokenization', an innovative blend of artistry and tech that could transform the principles and value perception of video art, possibly addressing long-standing issues related to its collectability.

Video Art's Development and Importance

Starting as an avant-garde genre, video art was often regarded as the defiant counterpart to traditional artistic forms. It challenged established norms by providing artists with a vibrant platform where motion replaced stillness, and audio-visual stories held sway. By early 2023, organizations like MoMA underscored its international importance through groundbreaking exhibitions such as "Signals: How Video Transformed the World."

Nevertheless, its inherent qualities presented singular problems. Unlike the physical limitations of paintings or sculptures, video art's digital nature enabled infinite replication. Every copy maintained the original's legitimacy, democratizing the art form while simultaneously detracting from its perceived value based on conventional market standards. In a realm where an artwork's rarity frequently dictated its market worth, video art presented a dilemma. Collectors struggled to comprehend notions of originality and valuation. Why acquire an original if indistinguishable duplicates possessed equal artistic merit?

Video art's incompatibility with traditional art market principles – where scarcity is highly valued – poses not only economic but also philosophical challenges. It urges us to reconsider our understanding of worth, authenticity, and the core essence of art in today's digital age. The importance of video art thus goes beyond its visual allure, placing it at the crossroads of artistic expression, technological innovation, and market dynamics.

The Emergence of NFTs and Video Art Tokenization in the Artistic Sphere

Blockchain technology's inception, followed by the art world's introduction to Non-Fungible Tokens (NFTs), has sparked a transformative revolution. Essentially, an NFT is a distinct digital certificate of authenticity, securely stored on a decentralized digital ledger that confirms the originality of a digital asset. As the digital domain increasingly intertwines with our physical existence, NFTs have made their mark, particularly in supporting the value of digital artwork.

NFTs started as quiet murmurs within specialized digital art circles but quickly gained traction, drawing the interest of artists, galleries, and investors. They provided an answer to the longstanding problem of digital reproduction without devaluation, tackling a central issue for the art community – how to authenticate and appraise digital art when duplication is effortless.

Traditionally, artists did not directly profit from secondary sales of their works; however, NFTs offered newfound empowerment. Artists could now secure royalties from resales through "smart contracts" embedded in NFTs, establishing a viable financial framework that had been previously unattainable.

Moreover, video art tokenization through NFTs revitalized the dynamics of the art market. Auction houses initially expressed skepticism but later adopted this trending wave as record-breaking sales of digital artworks converted to NFTs made headlines. Motivated by the integration of technology and artistry, collectors started to view NFTs as more than mere curiosities – they became genuine investment prospects, signifying a shift in how art is evaluated and exchanged.

Nevertheless, NFTs' true brilliance in the artistic world extends beyond economics; it broadens artistic expression's horizons. Digital artists who were once marginalized within the broader artistic journey moved to center stage as leaders in an era where art transcends visual or auditory limitations and becomes a dynamic, interactive experience.

Examining Tokenized Video Art Collections

The fusion of video art and blockchain technology gives rise to an intriguing world of tokenized video art collections, challenging conventional standards and presenting groundbreaking opportunities for both artists and collectors.

Origins and Development

Tokenized video art collections stem from the unique characteristics of video art, which is dynamic, replicable, and inherently digital, as well as the revolutionary potential of NFTs. When artists started tokenizing their video works, a specific genre of collections emerged that pushed the limits of both video art and the NFT domain.

Prominent Collections and Innovators

The Akeroyd Collection, Shane Akeroyd's online media library, serves as a powerful example of what can be accomplished by blending traditional video art with tokenization's avant-garde features. Housing creations from influential artists like Cory Arcangel, Apichatpong Weerasethakul, and Theaster Gates, this collection demonstrates an exceptional fusion of classical video art and cutting-edge tokenization.

Artwrld is another noteworthy platform that showcases tokenized video collections from celebrated artists such as Shirin Neshat and Paul Pfeiffer. This platform has become a guiding light for digital video artists who want to capitalize on blockchain benefits and engage with a broader and more appreciative audience.

Distinctive Characteristics and Advantages

Enhanced transparency and traceability stand out among the most transformative aspects of tokenized video art collections. Unique digital records of provenance accompany each tokenized piece, adding layers of trust and authenticity while empowering potential buyers to examine the artwork's background, ownership changes, and previous valuations. This shift marks a significant departure from traditional art sales plagued with ambiguous provenance.

Furthermore, tokenizing video art addresses its inherent reproducibility by attaching value to once-easily replicated works. Tokenizing a piece includes a unique digital certificate signifying its originality and market worth.

Potential and Obstacles Ahead

Although tokenized video art collections have undoubtedly had a significant impact, they still face challenges, including concerns about copyrights, exhibition rights, and the broader legal framework governing digital ownership. However, as artists and platforms persist in experimenting, innovating, and stretching boundaries, the possibility for video art tokenization to revolutionize the essence of art collecting is tangible.

In conclusion, the melding of video art with NFTs takes us to the verge of a new epoch. A time when the intangible gains value, duplication transforms into uniqueness, and video art earns its place among highly coveted collectibles.

Tackling Obstacles and Envisioning the Future

The combination of video art and NFT ecosystem has created many opportunities for artists, collectors, and platforms; however, it also involves several complexities. This marriage of art and technology is innovative but comes with a series of issues that must be addressed for enduring success.

Legal Uncertainties and Intellectual Property

A major concern with video art tokenization is the unclear legal rights. How do exhibition rights adapt in a decentralized digital realm? What specific rights are granted to collectors when they obtain a tokenized video artwork, particularly regarding public displays or reproductions?

Traditional Market Ideals and Comprehension

The conventional art market, with its roots in physical art appreciation dating back centuries, may require time to grasp and welcome the intricacies of video art tokenization. The notion that a digitally reproducible piece can hold substantial value might defy long-established market perceptions. It becomes essential to educate traditional galleries and collectors about the inherent worth and possibilities offered by tokenized video art.

Looking Forward: A Hopeful Tomorrow

In spite of these challenges, a bright future awaits. Advancements in blockchain technology will likely reduce technical obstacles by becoming more accessible and user-friendly. As legal structures adapt to the rapid advancements of digital innovations, transparent guidelines pertaining to ownership and rights will develop.

Efforts such as educational initiatives, workshops, and partnerships between art institutions and tech professionals can help bridge the gap, expanding the understanding of video art tokenization's potential to broader audiences.

Conclusion

The joining of video art and NFTs represents more than just a momentary craze; it marks an evolutionary leap in the world of art, unifying innovation with tradition. As artists experience newfound liberation and collectors delve into uncharted territories, the challenges that surface are simply growing pains of a sector on the cusp of transformation. Reflecting on the impact of technology and creativity, it's clear that we stand at a critical turning point. A vast landscape of potential lays ahead, ready to be adorned with the vivid hues of innovation, collaboration, and forward-thinking vision.

Tagi

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Master UI Component Creation with AI: The Ultimate Guide for Developers

Gracjan Prusik

24 Mar 2025
Master UI Component Creation with AI: The Ultimate Guide for Developers

Introduction

Modern frontend development is evolving rapidly, and creating UI components with AI tools is helping developers save time while enhancing interface quality. With AI, we can not only speed up the creation of UI components but also improve their quality, optimize styles, and ensure better accessibility.

This article explores how creating UI components with AI is transforming frontend development by saving time and improving workflows. Specifically, we will discuss:

  • Generating components from images,
  • AI for style analysis and optimization,
  • Automatic style conversion and code migration,
  • AI in generating UI animations.

Creating UI Components with AI from Images

One of the interesting applications of AI in frontend development is the ability to generate components from an image. AI can recognize the structure of the interface and generate HTML/CSS or JSX code that matches the provided image. One of the most popular tools for UI creation is Lovable.

For testing, let's see how the tool performs in creating a simple contact form from the page you are currently on, which is Nextrope.

Query:

"Recreate the image I've sent you in Next.js using CSS."

Sample image used in the query:

The result received:

Tworzenie komponentów UI - Wygenerowany widok

Lovable did an excellent job transforming the image into code. The view is fully responsive. It’s important to remember that the more precise the request, the better the AI will replicate the expected view. However, even with a simple command, the tool performed surprisingly well.

Of course, AI has its limitations. It still makes quite a few mistakes. The generated code still requires review and fixes from the developer, but in some cases, the entire process is significantly sped up—correcting the code often takes less time than creating the component from scratch.

Optimizing UI Components with AI Tools for Style Improvements

This problem of inaccurate code reproduction by AI can be partially addressed by using it to analyze and improve styles. Tools like ChatGPT, DeepSeek and Claude are capable of not only generating code but also diagnosing CSS errors and suggesting why a particular style might not be working as expected.

Simple example: Why is the div not centered?

Query: "Why is this div not centered?"

AI analyzes the code and provides the following response:

Problem: The parent container does not have a defined width or display: flex.
Solution: Add the appropriate styles to the parent container.

.parent {
  display: flex;
  justify-content: center;
  align-items: center;
  width: 100vw;
  height: 100vh;
}

AI for Automatic Style Conversion and Code Migration in UI Components

AI can assist with style conversion between different technologies, such as transferring code from traditional CSS to Styled Components or Tailwind CSS.

Let's assume we have a style written in traditional CSS:

.button {
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;
}

.button:hover {
  background-color: darkblue;
}

We can use AI for automatic conversion to Styled Components:

import styled from "styled-components";

const Button = styled.button`
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;

  &:hover {
    background-color: darkblue;
  }
`;

export default Button;

AI can also assist in migrating code between frameworks, such as from React to Vue or from CSS to Tailwind.

This makes style migration easier and faster.

How AI Enhances UI Animation Creation

Animations are crucial for enhancing user experience in interfaces, but they are not always provided in the project specification. In such cases, developers have to come up with how the animations should look, which can be time-consuming and require significant creativity. AI, in this context, becomes helpful because it can automatically generate CSS animations or animations using libraries like Framer Motion, saving both time and effort.

Example: Automatically Generated Button Animation

Suppose we need to add a subtle scaling animation to a button but don't have a ready-made animation design. Instead of creating it from scratch, AI can generate the code that meets our needs.

Code generated by AI:

import { motion } from "framer-motion";

const AnimatedButton = () => (
  <motion.button
    whileHover={{ scale: 1.1 }}
    whileTap={{ scale: 0.9 }}
    className="bg-blue-500 text-white px-4 py-2 rounded-lg"
  >
    Press me
  </motion.button>
);

In this way, AI accelerates the animation creation process, providing developers with a simple and quick option to achieve the desired effect without the need to manually design animations from scratch.

Summary

AI significantly accelerates the creation of UI components. We can generate ready-made components from images, optimize styles, transform code between technologies, and create animations in just a few seconds. Tools like ChatGPT, DeepSeek, Claude and Lovable are a huge help for frontend developers, enabling faster and more efficient work.

In the next part of the series, we will take a look at:

If you want to learn more about how AI is impacting the entire automation of frontend processes and changing the role of developers, check out our blog article: AI in Frontend Automation – How It's Changing the Developer's Job?

Follow us to stay updated!

Tagi

AI in Real Estate: How Does It Support the Housing Market?

Miłosz Mach

18 Mar 2025
AI in Real Estate: How Does It Support the Housing Market?
Table of Contents

The digital transformation is reshaping numerous sectors of the economy, and real estate is no exception. By 2025, AI will no longer be a mere gadget but a powerful tool that facilitates customer interactions, streamlines decision-making processes, and optimizes sales operations. Simultaneously, blockchain technology ensures security, transparency, and scalability in transactions. With this article, we launch a series of publications exploring AI in business, focusing today on the application of artificial intelligence within the real estate industry.

AI vs. Tradition: Key Implementations of AI in Real Estate

Designing, selling, and managing properties—traditional methods are increasingly giving way to data-driven decision-making.

Breakthroughs in Customer Service

AI-powered chatbots and virtual assistants are revolutionizing how companies interact with their customers. These tools handle hundreds of inquiries simultaneously, personalize offers, and guide clients through the purchasing process. Implementing AI agents can lead to higher-quality leads for developers and automate responses to most standard customer queries. However, technical challenges in deploying such systems include:

  • Integration with existing real estate databases: Chatbots must have access to up-to-date listings, prices, and availability.
  • Personalization of communication: Systems must adapt their interactions to individual customer needs.
  • Management of industry-specific knowledge: Chatbots require specialized expertise about local real estate markets.

Advanced Data Analysis

Cognitive AI systems utilize deep learning to analyze complex relationships within the real estate market, such as macroeconomic trends, local zoning plans, and user behavior on social media platforms. Deploying such solutions necessitates:

  • Collecting high-quality historical data.
  • Building infrastructure for real-time data processing.
  • Developing appropriate machine learning models.
  • Continuously monitoring and updating models based on new data.

Intelligent Design

Generative artificial intelligence is revolutionizing architectural design. These advanced algorithms can produce dozens of building design variants that account for site constraints, legal requirements, energy efficiency considerations, and aesthetic preferences.

Optimizing Building Energy Efficiency

Smart building management systems (BMS) leverage AI to optimize energy consumption while maintaining resident comfort. Reinforcement learning algorithms analyze data from temperature, humidity, and air quality sensors to adjust heating, cooling, and ventilation parameters effectively.

Integration of AI with Blockchain in Real Estate

The convergence of AI with blockchain technology opens up new possibilities for the real estate sector. Blockchain is a distributed database where information is stored in immutable "blocks." It ensures transaction security and data transparency while AI analyzes these data points to derive actionable insights. In practice, this means that ownership histories, all transactions, and property modifications are recorded in an unalterable format, with AI aiding in interpreting these records and informing decision-making processes.

AI has the potential to bring significant value to the real estate sector—estimated between $110 billion and $180 billion by experts at McKinsey & Company.

Key development directions over the coming years include:

  • Autonomous negotiation systems: AI agents equipped with game theory strategies capable of conducting complex negotiations.
  • AI in urban planning: Algorithms designed to plan city development and optimize spatial allocation.
  • Property tokenization: Leveraging blockchain technology to divide properties into digital tokens that enable fractional investment opportunities.

Conclusion

For companies today, the question is no longer "if" but "how" to implement AI to maximize benefits and enhance competitiveness. A strategic approach begins with identifying specific business challenges followed by selecting appropriate technologies.

What values could AI potentially bring to your organization?
  • Reduction of operational costs through automation
  • Enhanced customer experience and shorter transaction times
  • Increased accuracy in forecasts and valuations, minimizing business risks
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Want to implement AI in your real estate business?

Nextrope specializes in implementing AI and blockchain solutions tailored to specific business needs. Our expertise allows us to:

  • Create intelligent chatbots that serve customers 24/7
  • Implement analytical systems for property valuation
  • Build secure blockchain solutions for real estate transactions
Schedule a free consultation

Or check out other articles from the "AI in Business" series

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