Howard R. Moskowitz¹, Helena MA Bolini², Stephen D Rappaport³, Pedro Pio C Augusto², Taylor Mulvey⁴ and Vanessa Marie B Arcenas⁵

¹Cognitive Behavioral Insight, LLC, USA
²University of Campinas (UNICAMP), Brazil
³Stephen D. Rappaport Consulting LLC, USA
⁴St. Thomas More School, USA
⁵Tactical Data Group, USA

*Corresponding Author: Howard R Moskowitz, Cognitive Behavioral Insights, LLC, USA.

Received: June 28, 2024; Published: July 26, 2024

Abstract

This paper presents an approach to synthesizing mind-sets using artificial intelligence, LLMs (large language models). The paper focuses on a general treatment of food trends and food fads. The approach presented here shows how artificial intelligence can become the source of information, a synthesizer of mind-sets in the spirit of Mind Genomics and end up being a reporter writing press releases after projecting what will happen in years to come. The approach presented here represents a new way to understand a topic and is meant for educational purposes where a student or a professional must come up to speed quickly on a topic and even think of what might be next.

Keywords: Food Fads; Food Trends; Large Language Model; Mind Genomics; Synthesized Mind-Sets

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Citation

Citation: Howard R. Moskowitz., et al. “Foods: Trends, Fads, and Mind-Sets as Envisioned by AI Using LLMs (Large Language Models)".Acta Scientific Nutritional Health 8.8 (2024): 82-89.

Copyright

Copyright: © 2024 Howard R. Moskowitz., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.