Tung_et_al-2024-Nature_Communications A groundbreaking study published in “Nature Communications” in 2024 has provided remarkable insights into the field of developmental biology. Authored by Tung et al., this research explores how embryos can assist in the morphogenesis of others through calcium and ATP signaling, particularly in collective teratogen resistance. Key Discoveries and Insights Inter-Embryo Assistance: The study […]
Dr. Rupert Sheldrake has dedicated his career to investigating the inherent nature of memory, which he believes is a fundamental aspect of nature itself. In his view, artificial intelligence (AI) has limitations, despite its impressive ability to perform tasks such as playing chess, recognizing faces, and other impressive feats. Sheldrake contends that digital computers lack consciousness and true intelligence. To find these qualities in the computer world, Sheldrake suggests starting afresh with analog computers, which are inherently holistic and can incorporate indeterminism. Similarly, Quantum Computing, which involves probabilistic processes, is seen as promising for developing true intelligence in machines. John Coates, however, believes that digital systems can simulate probabilistic processes by simply adjusting temperature. Overall, Sheldrake’s investigations into memory and the limitations of AI offer valuable insights into the potential of analog and quantum computing to achieve true intelligence.
In this article, we delve into the fascinating and controversial theory of Dr. Rupert Sheldrake, who believes that memory is an inherent property of nature. Dr. Sheldrake has spent the last forty years of his career investigating slippery, esoteric phenomena, and we explore his findings in detail. We also examine the potential of artificial intelligence (AI) to exhibit true consciousness, a topic that has sparked lively debate in recent years. While Dr. Sheldrake is skeptical of AI’s ability to truly replicate human consciousness, there are engineers who claim that these systems are already capable of exhibiting true intelligence and consciousness. However, understanding the limitations of AI is crucial when discussing this topic. We examine the differences between digital, analog, and quantum computing, and explore why some experts believe that analog and quantum computing systems may hold more promise for achieving true consciousness. Finally, we offer insights from an engineer who has developed technology highly dependent on AI. John Coates explains how setting the temperature of the model simulates probabilistic processes in these digital AI systems to exhibit true intelligence consciousness. By exploring diverse perspectives on this complex topic, we hope to offer readers a more nuanced understanding of the potential and limitations of AI and the nature of consciousness itself.
Unraveling the Amplituhedron: A Game-Changing Discovery The world of particle physics has been revolutionized with the discovery of the amplituhedron. This geometric breakthrough promises to simplify the complexities of particle interactions and help us better understand the universe. In this article, we will explore the amplituhedron and its significance in the world of physics. Meet […]
The Amplituhedron, a geometric object that lies beyond space-time, could revolutionize our understanding of the universe. This structure is transforming how physicists approach calculations in particle physics, providing new insights into the fundamental properties of the universe. With its potential to simplify complex calculations, the Amplituhedron may hold the key to unlocking some of the greatest mysteries of our universe.