#221 Carrick Longley on Influence Automation

The Cognitive Crucible is a forum that presents different perspectives and emerging thought leadership related to the information environment. The opinions expressed by guests are their own, and do not necessarily reflect the views of or endorsement by the Information Professionals Association.

During this episode, Carrick Longley discusses Large Language Models (LLM) and influence. Key topics include:

• LLM 101
• Usage and changes in prompt engineering
• Improving influence resonance and speed
• The recent DeepSeek model controversy
• Bias in foundational models and
• Software development

Recording Date: 26 Mar 2025

Research Question: Guest suggests an interested student or researcher examine: 

Resources:

• ZenithFlow
• Company of One by Paul Jarvis
• Reddit: Local LLama

Link to full show notes and resources

Guest Bio: Dr. Carrick Longley is the Founder and CEO of ZenithFlow, a company pioneering privacy-first AI solutions for strategic communications. A former Marine Corps SIGINT and Technical IO Officer with a Ph.D. in Information Sciences, he leads the development of StoryForge, an advanced platform that transforms raw data into compelling narratives. Through ZenithFlow's local-first AI approach, Dr. Longley is revolutionizing how organizations leverage artificial intelligence to create impactful messaging while maintaining complete data privacy and control.

About: The Information Professionals Association (IPA) is a non-profit organization dedicated to exploring the role of information activities, such as influence and cognitive security, within the national security sector and helping to bridge the divide between operations and research. Its goal is to increase interdisciplinary collaboration between scholars and practitioners and policymakers with an interest in this domain.

For more information, please contact us at communications@information-professionals.org.

Or, connect directly with The Cognitive Crucible podcast host, John Bicknell, on LinkedIn.

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