Uploaded October 2025 | Updated September 2026, 1 day ago
#AI
This podcast discusses the rapid advancement of Artificial Intelligence (AI) and computer technology, noting how Moore's Law historically described the doubling of transistors, though AI's growth now outpaces even that.
It explains AI's progress stems from increased computing power, improved algorithms, and vast amounts of data, driven by substantial financial investment and human resources.
However, this progress raises critical questions about the sustainability of this growth, highlighting potential future limitations related to scarce rare earth resources, escalating energy consumption, significant water usage for cooling, and a looming shortage of high-quality training data.
Ultimately, we suggest a need for responsible innovation and resource efficiency to mitigate potential challenges, rather than assuming uninterrupted exponential progress.
AI was used to assist in the creation of this video.
This podcast builds on the video below
youtu.be/WdWttklbQ9M
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 discusses the rapid advancement of Artificial Intelligence (AI) and computer technology, noting how Moore's Law historically described the doubling of transistors, though AI's growth now outpaces even that.
It explains AI's progress stems from increased computing power, improved algorithms, and vast amounts of data, driven by substantial financial investment and human resources.
However, this progress raises critical questions about the sustainability of this growth, highlighting potential future limitations related to scarce rare earth resources, escalating energy consumption, significant water usage for cooling, and a looming shortage of high-quality training data.
Ultimately, we suggest a need for responsible innovation and resource efficiency to mitigate potential challenges, rather than assuming uninterrupted exponential progress.
AI was used to assist in the creation of this video.
This podcast builds on the video below
youtu.be/WdWttklbQ9M
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
