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As societies age and technology accelerates, a hidden challenge is emerging beyond healthcare, pensions, and workforce shortages. The Wisdom Economy – Part 2: The Coming Wisdom Crisis explores how the...

As Silicon Valley seeks to engineer the "friction" out of existence, the future of technology is becoming a referendum on whether we will serve human complexity or simply automate it into oblivion. Th...

Alt: A GIF with, in small white text, on the lower left #WillAndGrace & on the lower right a small NBC peacock logo. A conventionally attractive white woman in her 30s or 40s, with brown hair slightly past her shoulders, and wearing a black suit jacket with a pink shirt, is standing in a room that includes on the left an emergency defibrillator sign and a fire extinguisher holder on the wall then to the right two windows. It seems like an institutional setting. The woman is bleeping her eyes and then moving her head for emphasis whilst saying, according to the white text that appears at the bottom of the gift, let me spell this out for you, Shakes-Queer.” This is not at all the gif that I was looking for, but it is the gif that I am using and that I love.

Concerns that artificial intelligence (AI) could make biological weapons development easier have become increasingly prevalent. These warnings largely reprise a longstanding narrative that new technol...

A new book by computer scientist Peter J. Denning challenges one of the foundational assumptions that has guided artificial intelligence research since Alan Turing's influential 1950 paper. Denning argues that AI research has been built on the mistaken belief that human intelligence can be recreated in software independently of a physical body and that conversational imitation, as measured by the Turing test, is an adequate indicator of genuine intelligence. According to Denning, these assumptions have encouraged decades of research aimed at artificial general intelligence (AGI), despite fundamental obstacles that may make true human-level AI impossible. Central to his argument is the concept of tacit knowledge, which includes common sense, intuition, emotions, practical skills, cultural understanding, and contextual awareness. He contends that these forms of knowledge cannot be fully expressed as data or encoded into computer systems because they are deeply embodied in human experience and social interaction. Denning points to long-running efforts such as the Cyc project, which attempted to build a comprehensive database of common-sense knowledge but ultimately demonstrated the limitations of representing human expertise as explicit facts. He further argues that large language models generate text by manipulating symbols rather than understanding their meaning, making them fundamentally different from human cognition. Looking ahead, Denning suggests that advanced AI systems may develop forms of machine intelligence that differ significantly from human intelligence rather than matching it. While he does not predict human-level AGI, he warns that increasingly autonomous AI systems could still create significant societal risks because their decision-making processes and objectives may be difficult for humans to interpret or align with human values. He concludes that recognizing the unique characteristics of human intelligence is essential for developing safer relationships with increasingly capable AI technologies.

Training the forgotten body and the movement biography Introduction Body Alienation is the concept that includes the description and explanation of the self-estrangement that takes place as societal, ...

Profy enables experts to transform their experience into "digital experts" through simple conversations, running 24/7. Here's how it's reshaping decision-making with examples from VCs and brand consul

We are all Donald Rumsfeld. His infamous remark about "unknown unknowns" contains lessons about hubris and humility.