The Humorous Evolution of Generative AI

This chapter explores the origins of generative AI, starting with the introduction of transformer models like BERT in 2017. It combines insightful commentary on the challenges of language translation with humorous anecdotes from the early days of machine learning.

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In this episode of the AI Agents Podcast, we explore the rapidly evolving landscape of artificial intelligence and its implications for the future of technology.

Host Demetri Panici sits down with David Colwell from Tricentis to discuss the transformative power of generative AI, the shift toward automated reasoning, and the challenges of developing intelligent systems that can truly understand and execute human-level tasks.

David shares insights from Tricentis’ journey into AI-driven quality assurance and the surprising capabilities (and limitations) of emerging large language models like GPT and Claude.

Whether you're curious about how AI is impacting software testing, the surprising origins of generative AI, or what recursive models might mean for the future of work, this conversation offers a deep dive into the evolution of tech and automation.

Learn how tools, context, and reasoning models are shaping tomorrow's workflows—and why staying ahead in this space is as much about understanding systems thinking as it is about cutting-edge code.

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⏰ TIMESTAMPS:

0:00 - Into The World Of Legacy Code

1:32 - What Tricentis Is All About

3:35 - Building The AI Department

6:02 - Early Struggles With Generative AI

9:41 - Breakthroughs In Agentic Automation

12:01 - Understanding Reasoning Models

16:11 - Rise Of Superintelligent Models

19:02 - Why AI Feels Like Magic

24:48 - The Power And Limits Of Tool Use

39:14 - How Tricentis Adapts With AI