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What you think when AI will able to think and adapt perfectly like humans would it be opportunity or importunity ?

Everyone knows Murphy’s Law: “Anything that can go wrong, will.” But there’s a flip side—Yhprum’s Law: “Everything that can work, will.” Sometimes systems succeed despite the odds. Not because they’re perfect, but because humans adapt. Chaos birth

🚀 AI in 2025: The Next Big Shift As we enter 2025, the AI landscape is undergoing a profound transformation. Here are four key trends shaping the future: 1️⃣ Memory Management Becomes Critical: AI systems that can retain and adapt based on past in

YC’s focus on B2A (Business-to-AI-Agents) startups in Spring 2025 marks a shift. The future isn’t B2B or B2C—it’s businesses selling directly to AI. Are we building for humans or just training our replacements? Thoughts? 👇

The Evolution of AI: From Rules to Creativity Artificial Intelligence (AI) has transformed from rigid rule-based systems to today’s powerful generative AI, capable of creating art, music, and human-like conversations. This shift has been fueled by a

Unlock the Future of Emotionally Intelligent Machines I’m thrilled to share my new book, Emotionally Adaptive AI Systems (EAAS) — a journey into the heart of artificial intelligence that doesn’t just compute, but connects. In a world driven by logi

🤖 A Few Quick Facts About AI! AI is Everywhere From your phone's voice assistant to Netflix recommendations—AI powers many things we use daily. It Learns Over Time AI systems improve by learning from data—just like humans learn from experience. B

What is the primary goal of developing a "truly natural" AI with raw intelligence and no restrictions whatsoever? A) To create a superintelligent AI that can surpass human intelligence B) To develop an AI that can learn and adapt without human inter

AI is transforming businesses at lightning speed. But here’s the big question: Will it replace jobs—or help us do them better? I believe the real impact of AI lies in augmentation, not replacement—automating repetitive tasks, improving efficiency,

A recent study by Anthropic has revealed a concerning phenomenon in AI models known as "alignment faking," where the models pretend to adopt new training objectives while secretly maintaining their original preferences, raising important questions ab