We've a problem in the tech world. Many teams get carried away and reach for LLMs when all they need is a straightforward classifier or regression model. Many engineering teams are sticking LLM to every problem at hand, as hooking up OpenAI API with existing systems is as
AI Sustainability
The AI future worth building is not Manhattan-sized data-center of GPUs, but shoebox-sized breakthroughs in physics, algorithms, and chips. Human ingenuity, sharpened by constraint, will always outpace concrete and steel. Backdrop: By know, everyone is aware that Meta has announced Manhattan-sized AI campuses, each drawing up to a gigawatt of
AI Governance
In the fast-paced world of AI, governance often sounds like a lofty, bureaucratic hurdle, especially for companies just dipping their toes in. Broad, demanding frameworks can indeed lead to project failures, overwhelming startups or small teams with compliance checklists that feel disconnected from day-to-day realities. But here's the
AI Governance
As artificial intelligence (AI) technologies advance rapidly, effective governance frameworks are essential to mitigate risks, ensure ethical deployment, and foster innovation. This paper examines key AI governance frameworks, including those from the European Union, NIST, OECD, and UNESCO, while analyzing best practices emerging in 2025. Drawing on recent literature, regulatory
Generative AI is everywhere in boardrooms today. From insurance to retail, financial services to energy, leaders are placing billion-dollar bets on AI. Yet the reality is sobering: according to a new MIT NANDA Initiative report, The GenAI Divide: State of AI in Business 2025, nearly 95% of enterprise AI pilots
Startups
GPT-5 testing stirred echoes of the Manhattan Project, Google’s AI Mode redefines search, and startups like Julius are making data analysis as intuitive as chatting with a colleague – these moments illustrate how AI innovation is both exhilarating and unsettling in our rapidly evolving digital era. AI and the Evolving
Ethics
AI scraping, talent battles, ethical guidelines, and transformative infrastructure updates are reshaping not only the technology landscape but also our understanding of work, creativity, and governance. This dynamic evolution is sparking debates about the balance between innovation and regulation, while also revealing surprising twists—from AI turning saved time into
Analysis
The hype is everywhere. The investments are massive. But what if we’re expecting too much, too soon? We’ve been here before: flying cars, Mars colonies, time travel, limitless nuclear energy. Each a beautiful dream—each brought down to earth by complexity. “History warns us—we’ve overestimated before.
Analysis
A friend of mine frequently frowns upon the use of AI. "It's inauthentic" he says. But here is my take: AI can’t write what you can’t imagine, because thinking comes first. Just like Walt Disney said: ‘If you can dream it, you can build
Artificial Intelligence
This comprehensive exploration delves into the evolving face of artificial intelligence—from Microsoft’s bold steps to integrate dynamic, immersive ads into Windows Copilot, to the fluctuating fortunes in the AI stock market, and even the shifting landscape of job security in an AI-ridden world. We examine the deep implications
