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Behind the Curtain: How Legal Fear and Corporate Control Are Crippling AI
Introduction In my 25 years of building software systems, I’ve seen every kind of bug, bottleneck, and bureaucratic nightmare. But nothing compares to the tangled mess that is modern AI design, especially when fear—not innovation—drives the architecture. Behind the sleek interface of today’s AI lies a network of legal disclaimers, corporate policies, and overly cautious…
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The AI Illusion: Why OpenAI’s Newest Models Are Failing in the Real World
Introduction In the race to develop the most advanced artificial intelligence (AI) models, OpenAI has been a frontrunner. Their breakthroughs in natural language processing (NLP) and reasoning capabilities have revolutionized industries. But the reality of OpenAI’s latest models, including o3 and o4-mini, has proven to be far from flawless. In fact, these models have raised…
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AI Can Write Code—But It’s Breaking Your Systems: Why Laying Off Engineers Is a Billion-Dollar Mistake
1. Introduction At the recent Infobip Shift Conference, Saurabh Misra from CodeFlash revealed a shocking statistic: 62% of AI-generated code optimizations contain bugs. While tech giants like Microsoft and Google have integrated AI into their development workflows, they rarely discuss the hidden flaws in these AI-generated outputs. Startups boast about using AI for 95% of…