About me

Hi there! My name is Udval, an aspiring software engineer with a strong interest in Generative AI. I enjoy building new tech solutions and learning as I go. My first public blog explored building a a stock prediction model using machine learning. In this second blog, I’m diving into the ethical challenges of AI especially in open-source development, and why balancing innovation with responsibility matters.

This blog also reflects my learning journey, and I hope you stick around as I explore, learn, and share more insights about AI. Oh, and don’t worry - there’s a meme or two to keep things light along the way!







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Is Bitcoin Mining an Innovation or a Global Ethical Problem?

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Introduction : When Bitcoins first launched in 2009, it was praised as a breakthrough for financial freedom and privacy. No banks, no middleman, just decentralized currency powered by technology and creativity. Today, Bitcoins is just as famous for something else: massive energy consumption, financial scams, and environmental concerns. The heart of this transaction is Bitcoin mining – a process that keeps the currency running but also raises serious ethical and legal questions.  In this blog, we’ll explore Bitcoin Mining, particularly the growing concerns about its climate impact, financial manipulation, and even legal challenges.  Bitcoin Mining and its growth : Before we get into the niches, let’s talk about what this “mining” is. So by definition , Bitcoin mining is the process of using powerful computers to solve complex mathematical puzzles. This basically means that computers are working nonstop to verify Bitcoin transactions and add them to a public digital ledger cal...
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The Rise and Fall of Microsoft’s Tay AI: A Case Study in AI Ethics and Security

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  Introduction: When AI Goes Rogue Imagine unleashing an AI chatbot onto Twitter, expecting friendly interactions, only to witness it transform into a digital miscreant within hours. Microsoft's vision was shattered when they launched Tay AI in 2016 – a teen girl chatbot meant to interact with Twitter users and refine its conversational skills over time. The idea was to create an AI that mimicked human interaction naturally, but within 16 hours, this ambitious experiment spiraled into disaster.  Profile Image of Tay AI teen girl Chatbot. The Washington Post Manipulated by malicious users, Tay began spewing racist, misogynistic, and offensive remarks, forcing Microsoft to pull the plug almost immediately. What was supposed to be an AI milestone instead became a cautionary tale of AI vulnerability, corporate responsibility, and the dangers of unsupervised machine learning. The Microsoft Tay AI Disaster: What Could Possibly Go Wrong?  Before we dive into Tay’s meltdown, wha...
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Innovation vs. Integrity: Can Open-Source AI Find the Balance?

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