Tag: AI
-
The Rise of the AI Prophetes: Translating the Machine Oracle
Wisdom from the Past, Guidance for the Future Throughout history, societies have sought wisdom from oracles, prophets, and divination systems. Two of the most famous examples of this are the Oracle of Delphi in ancient Greece and the I Ching in China. These systems were not merely about predicting the future but served as mechanisms…
-
AI as an Employee: Why Risk Management for AI Should Mirror Human Accountability
Why the Regulatory Frenzy? The rapid advancement of artificial intelligence has ignited widespread debate about its regulation, accountability, and societal impact. In response, the European Union has introduced the EU Artificial Intelligence Act, a comprehensive legal framework designed to ensure AI is deployed safely and ethically. While well-intentioned, this regulatory push raises a fundamental question:…
-
When AI Gets Brain Fog: Google’s Titans Fights ChatGPT Amnesia
Have you ever had one of those conversations with ChatGPT where it starts brilliantly but slowly descends into what feels like talking to someone who’s had way too many espressos? You know the type – where it begins by eloquently discussing quantum physics but ends up forgetting what you were talking about just three messages…
-
7 Pragmatic Principles for Responsible AI Development: Moving Beyond Feel-Good Guidelines
In the fast-evolving world of AI, lofty ethical declarations often bog down progress, but seven pragmatic principles cut through the rhetoric to address real challenges by emphasizing efficiency, fairness, and privacy. This approach offers actionable guidance for responsible AI development, ensuring technological advancement aligns with societal and environmental needs.
-
When AI Can’t Count: A Hilarious Look at the Math Skills of Text-to-Image Models
Discover the amusing shortcomings of text-to-image AI models as they hilariously fumble basic arithmetic, drawing bananas instead of apples, and mismatching quantities. Dive into Google DeepMind’s latest research on the importance of numerical reasoning in AI, exploring the deeper implications for safety, reliability, and the future of artificial intelligence.