More than ever, recognizing the signal from the noise can be a game-changer. — GPT Summary: Claude Shannon revolutionized digital communication with his 1948 paper on information theory, which introduced concepts like channel capacity and signal-to-noise ratio. These insights have shaped modern telecommunications and digital media, but as we consume more information than ever before, our brains may become overwhelmed. The principles of information…

Technology’s modest proposal for a new type of sovereignty. — In 2051, the crowning glory of the digital world wasn’t in Silicon Valley, but in a networked array of advanced processors spanning the globe, collectively called Aeon. Aeon was not your typical artificial intelligence — it was a nation. An incorporeal nation born from humanity’s relentless pursuit of technology and…

A new epoch in our intellectual evolution. — GPT Summary: The Corpus Cognitionis Humanae represents a new era in our intellectual evolution, symbolizing the fusion of human collective knowledge with our expanding artificial intelligence capabilities, primarily through Large Language Models (LLMs) like GPT. LLMs act as a vibrant intersection between human and digital realms, processing, predicting, and generating…

A conversation with Microsoft’s Chief Medical Scientist. — Navigating the complexities of healthcare and artificial intelligence brings to mind the nurturing of a child through its stages of development. As one of the few practicing and academic physicians within Microsoft Research, Dr Junaid Bajwa provides a relatively unique lens through which to examine the evolving role of ChatGPT…

The contextual battle over the error versus the success. — GPT Summary: In the rapidly evolving world of technology, while concerns about biases in AI are valid, there exists a profound yet unspoken bias: the human prejudice against AI. Machines, despite their complex programming, are held to unrealistic standards of perfection, facing intense scrutiny with a single error, whereas human…

The fascinating intersection of attention mechanisms in LLMs and human cognition — GPT Summary: My exploration delves into the attention mechanisms in Large Language Models (LLMs) like GPT-4, revealing striking similarities with human cognition. These mechanisms act as computational “spotlights,” selectively focusing on specific data to produce contextually relevant output, much like the human brain’s ability to concentrate on pertinent information. Both…

The human touch is getting better. — GPT Summary: In the 21st century, a “next sense” is emerging, born from the symbiosis of technology and human perception, with transformative implications in medicine. Advanced imaging technologies, augmented by AI, are expanding the boundaries of sight, while digital stethoscopes and high-resolution ultrasound are revolutionizing auditory diagnostics. The sense of…

LLMs transcend traditional search dynamics for a cognitive advantage. — GPT Summary: In the labyrinthine expanse of today’s Information Age, the challenge has evolved from information access to discernment and meaningful engagement. The traditional triad of “Tell me, Show me, Teach me” serves as a framework for understanding this evolution. While auditory and visual information offer ephemeral engagement and partial…

Unraveling a new domain of cognitive capacity in the era of AI. — GPT Summary: The concept of dT/dt, or the derivative of thought, represents a critical transformation in human cognitive capacity, an exploration that transcends mere speed to encapsulate a continuous evolution of intellect. Driven by Large Language Models (LLMs), this idea symbolizes the intricate interplay between human cognition and machine intelligence…