The Use of GenAI in Coding

10

October

2024

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Generative AI is revolutionizing the coding landscape, making the use of programs such as R, Stata and Python more efficient, accessible, and easy. As someone who has experienced the growing capabilities of GenAI firsthand, it’s clear that they’re becoming indispensable for coders, both new and experienced.

One of the most significant advantages of Generative AI in coding that I have personally experienced is the ability to generate code. For my previous master thesis, I could simply input a prompt or description of what needs to happen, and the GenAI platform would provide an optimized code almost instantly. This saved me a lot of time, especially for repetitive tasks like writing common functions. AI-powered tools also assist in translating between different programming languages, helping to work across various platforms without being limited by programming language constraints.

Debugging is another area where generative AI has very much improved. By analyzing code for potential errors or inefficiencies, GenAI tools can suggest fixes and improvements that might be easily overlooked with manual review. This can dramatically reduce development time and improve code performance. Furthermore, AI can offer suggestions based on the specific context of the code. This contextual awareness enhances productivity, which allowed me to focus on higher-level logic rather than getting held up by minor details. For beginners, AI tools serve as helpful guides, offering explanations that improves learning opportunities.

However, there are still some challenges. While generative AI can expedite coding, it still lacks the deep understanding of human intention and the creativity that code developers bring to problem-solving, which is why it will not replace actual developers for now. Additionally, code generated by AI will not always be completely error-free, meaning the developer will still need to be careful while reviewing the output.

Despite these limitations, GenAI is becoming an essential tool during coding. It enhances productivity, reduces errors, and enables access to coding knowledge, paving the way for more accessible and efficient software development, even for unexperienced coders like me. Feel free to share your personal experience with GenAI and coding!

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The Future of Art, Technology, and the Digital Economy: NFTs

16

September

2024

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The rise of Non-Fungible Tokens (NFTs) has been one of the most talked-about technological phenomena of the last few years. At their core, NFTs represent digital ownership through blockchain technology, offering a unique certificate of authenticity for digital assets like art, music, and even virtual real estate. What makes NFTs intriguing is how they blend the worlds of art, technology, and finance, potentially reshaping the digital economy.

NFTs gained global attention when digital artist Beeple sold his artwork for $69 million at a Christie’s auction in 2021. This sale marked a major shift in how people perceive digital ownership. Prior to NFTs, digital art could be endlessly replicated with no clear way to prove ownership. NFTs solve this problem by assigning a unique, non-fungible identifier to a piece of digital content, ensuring that the owner has a one-of-a-kind, verifiable asset.

But beyond the initial hype, NFTs are also proving to have broader applications. Musicians are using NFTs to sell exclusive album releases (Hissong, 2021), and gaming companies are developing NFT-based assets that players can own, trade, and sell (Ivanova, 2024). Virtual worlds like Decentraland allow users to buy and sell virtual real estate as NFTs, creating entirely new digital economies.

Despite the excitement, NFTs have faced significant challenges and critique. One of the most critical issues is their environmental impact. Blockchain technologies like Ethereum, used by most NFTs, consume enormous amounts of energy, raising concerns about its effect on thee environment. Additionally, scams and frauds have become more common, with some buyers facing significant financial losses (Blackstone, 2024).

While NFTs are an intriguing step in digital ownership, I believe their long-term sustainability is dependent on addressing these environmental and security concerns. The concept of decentralized ownership is revolutionary, but it must be combined with ethical innovation.

What do you think of NFTs ability to ultimately transform industries like art and gaming, or have they already had their peak? Share your thoughts!

References:

Blackstone, T. (2024). The Top 5 NFT Scams to Avoid. Security.org. https://www.security.org/news/nft-scams/

Hissong, S. (2021). Music NFTs Have Gone Mainstream. Who’s In? Rolling Stone. https://www.rollingstone.com/pro/features/music-nfts-timeline-kings-of-leon-grimes-3lau-1138437/

Ivanova, A. (2024). NFTs in Video Games The Future of In-Game Assets and Collectibles. GameSpace.com. https://www.gamespace.com/all-articles/news/nfts-in-video-games-the-future-of-in-game-assets-and-collectibles/

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