The Decoherence Dilemma: Can Quantum-AI Systems Be Trusted to Stay Stable?
Quantum-AI systems promise power — but can they be trusted to stay stable? Explore the decoherence dilemma and what it means for the future of AI.
Palak Kumari
Entangled Intelligence: What Happens When AI Starts Thinking in Qubits?
What happens when AI meets quantum computing? Explore the future of entangled intelligence, where machines learn to think in qubits.
Compression Wars: Are Tiny Models the Next Big Disruption?
Big isn’t always better in AI. Learn how tiny, compressed models are disrupting the field with speed, efficiency, and real-world impact.
Echo Models: Are Open-Source AIs Just Refined Reflections of Big Tech?
Open-source AI models promise freedom — but many still mirror Big Tech. Are they truly independent or just derivative? Explore the open-source paradox.
The Empathy Illusion: Should AI Be Allowed to Simulate Human Emotions?
AI is learning to simulate empathy — but should it? Explore the ethical risks of synthetic emotion in chatbots, therapy, and digital companionship.
Privacy Laundering: Are Companies Hiding Behind AI to Bypass Consent?
Companies are using AI to infer sensitive data without consent. Explore how privacy laundering exploits loopholes to sidestep user protections.
Moral Fog: When AI Doesn’t Know Right from Legal
AI can follow the law but miss the ethical mark. Explore the risks when machine decisions obey legal rules but violate moral expectations.