AI Agents Podcast The Future of Tech and AI | EP50
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May 27, 2025 David Colwell, an AI leader at Tricentis, shares a wealth of knowledge on the rapidly changing landscape of AI and tech. He discusses the origins and evolution of generative AI, emphasizing both its exciting breakthroughs and inherent challenges, particularly in quality assurance. The conversation delves into automated reasoning models, their implications for the future of work, and the intricate balance between innovation and practical implementation. Colwell highlights the surprising limits of emerging AI tools and the necessity for continuous adaptation in this fast-paced field.
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Legacy Code QA Challenge
- Tricentis handles legacy software including code written in the 1960s or obscure languages.
- Their QA tools work comprehensively across challenging environments, supporting large companies with complex needs.
Funny Early AI Outputs
- Early generative AI produced amusing but unusable outputs, like a comedic Harry Potter chapter.
- This revealed the gap between language fluency and producing correct, meaningful content in AI.
Early AI Reduced Productivity
- Early generative AI increased work because users spent more time reviewing and correcting AI output.
- The exactness required in QA made early AI productivity negative, prompting a pause in investment.