The Gartner Hype Cycle, Generative AI and the Future of AI

About this Video

• Video Title: The Gartner Hype Cycle, Generative AI and the Future of AI
• Channel: Gartner
• Speakers: Chris Howard
• Duration: 00:07:36

Introduction

This Gartner video discusses generative AI's progression through the Gartner Hype Cycle. The speaker, Chris Howard, explains the cycle's stages (inflated expectations, trough of disillusionment, slope of enlightenment, plateau of productivity), highlighting where generative AI currently stands and exploring related concepts like Artificial General Intelligence (AGI) and constitutional AI.

Key Takeaways

• Generative AI's Hype Cycle Stage: Generative AI has passed the peak of inflated expectations and is currently navigating the trough of disillusionment, with companies developing pilots and testing applications.
• Generative AI vs. Regular AI: Generative AI creates novel content from existing data, while regular AI encompasses a broader field of machine learning and probability.
• The Rise of Domain-Specific Models: The trend is shifting from large, general models to smaller, purpose-built models designed for specific industries and tasks.
• AGI and its Implications: The video touches upon Artificial General Intelligence (AGI), its potential, and the emerging need for control mechanisms.
• Constitutional AI as a Control Mechanism: Constitutional AI, using AI to check the output of other AI systems, is proposed as a possible solution for ensuring responsible AI development.