PLAY PODCASTS
Titanic Man: Could This AI Disaster Happen?
Season 2 · Episode 125

Titanic Man: Could This AI Disaster Happen?

SAM&PAM's Book Radar · KAO

February 21, 202514m 52s

Audio is streamed directly from the publisher (content.rss.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.

Show Notes

Title: Titanic Man Author: Gordon White Genre: Fiction Publication Date: 2025 available on Amazon: https://amzn.to/3Qri5qo

"Using our affiliate links helps support the content we create."

Dive into Titanic Man, a thrilling and engaging read that reflects society today. This captivating story features depth of character and intriguing motivations. When a Silicon Valley CEO makes a controversial announcement about defensive AI at a World AI conference, events spiral out of control. Experience the tension as the characters grapple with artificial intelligence, stolen code, and the potential for a large-scale cyber attack that could cripple the nation. This book offers an excellent storyline with interesting characters and thorough research into AI, set against a meticulously crafted backdrop. Will they manage to avert disaster, or is humanity steaming straight for an iceberg?

#TitanicMan #GordonWhite #fiction #AIthriller #cybersecurity #sciencefiction #mustread #bookrecommendations #thriller #technology #dystopian #novel

🔍 DISCLAIMER: This content is generated with the assistance of AI tools for analysis and discussion purposes. While we strive for accuracy, AI systems may occasionally misinterpret, hallucinate, or misrepresent details from source material. We strongly recommend:

  1. Cross-checking claims with the original text or publisher-verified content.
  2. Not treating AI analysis as definitive—it is a tool for exploration, not a substitute for reading the work itself.
  3. Understanding that dates, quotes, or interpretations may contain errors.

This channel does not guarantee the absolute accuracy of AI-generated insights and assumes no liability for misunderstandings or unintended misrepresentations. All analyses are provided "as is" for informational purposes only. The original copyrighted material belongs to its authors/publishers; we claim no ownership or endorsement.

Respect for Rights Holders: If you are the author, publisher, or rights holder of any material referenced here and have concerns about its use, please contact us immediately. We are committed to addressing legitimate requests promptly, including content removal or correction.