Part 5/13:
Hype: Others are swept up in excitement, pushing for rapid deployment of large language models (LLMs) and generative AI, often leading to disillusionment when outcomes fall short—an experience described as the “Hype Cycle” or “Trough of Disillusionment.”
Practical Reality: Recognizing AI’s potential as a powerful tool but not a magic bullet, the leader emphasized that successful AI deployment requires realistic planning, clear problem framing, and an understanding of what AI can and cannot achieve.
He cautioned about the broader consequences, including ethical issues like environmental impact, job displacement, and societal shifts, urging practitioners to be prepared for these discussions.
Research vs. Application in AI