Uploaded August 2025 | Updated September 2026, 5 hours ago
#AI
This Podcast explores the potential for Artificial Intelligence (AI) to achieve sentience and self-awareness, drawing parallels with biological theories of consciousness.
It introduces Gerald Edelman's Extended Theory of Neuronal Group Selection (TNGS), also known as Neural Darwinism, which posits that the brain's function arises from a selection process akin to natural evolution, involving neuronal groups and their dynamic interactions.
We then consider how key concepts of TNGS, such as developmental and experiential selection, dynamic categorization, and the distinction between primary and higher-order consciousness, could be applied to AI system development.
Highlighting the importance of self-adjusting neural networks in AI, drawing an analogy to bone remodelling, and discusses the natural emergence of specialized languages among isolated AI systems, comparing it to human language development.
Ultimately, we suggest that TNGS offers a valuable framework for guiding future advancements in AI toward more dynamic and adaptable systems.
AI was used to assist in the creation of this video.
Source files and an Index to all the YouTube videos are accessible from here
gsfsoftware.co.uk/PBTutorials/Projects.htm
I don't work for, nor am I paid by, or sponsored by, the owners of PowerBASIC or any other company mentioned in this podcast, I'm just a fan of their products.
For more information on PowerBASIC visit
pbusers.org
OR
pump.richheimer.de/index.php
Music by ghosthack.de
#AI
This Podcast explores the potential for Artificial Intelligence (AI) to achieve sentience and self-awareness, drawing parallels with biological theories of consciousness.
It introduces Gerald Edelman's Extended Theory of Neuronal Group Selection (TNGS), also known as Neural Darwinism, which posits that the brain's function arises from a selection process akin to natural evolution, involving neuronal groups and their dynamic interactions.
We then consider how key concepts of TNGS, such as developmental and experiential selection, dynamic categorization, and the distinction between primary and higher-order consciousness, could be applied to AI system development.
Highlighting the importance of self-adjusting neural networks in AI, drawing an analogy to bone remodelling, and discusses the natural emergence of specialized languages among isolated AI systems, comparing it to human language development.
Ultimately, we suggest that TNGS offers a valuable framework for guiding future advancements in AI toward more dynamic and adaptable systems.
AI was used to assist in the creation of this video.
Source files and an Index to all the YouTube videos are accessible from here
gsfsoftware.co.uk/PBTutorials/Projects.htm
I don't work for, nor am I paid by, or sponsored by, the owners of PowerBASIC or any other company mentioned in this podcast, I'm just a fan of their products.
For more information on PowerBASIC visit
pbusers.org
OR
pump.richheimer.de/index.php
Music by ghosthack.de
