Sergio Fierens: How AI Is Shaping Software Engineering

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SpaghettiCode

Marco Ziccardi - Alessandro Diaferia

43 episodes

1 week ago

This is a podcast on building software products and technology organisations. We discuss methodologies, frameworks, organisational dynamics, leadership and more. We are Marco and Alessandro, senior technology leaders who have worked with software product organisations of any size, from startups to scale ups to established enterprises. We will take you with us on a continuous improvement journey. Music: Acid Trumpet by Kevin MacLeod Link: https://incompetech.filmmusic.io/song/3340-acid-trumpet License: http://creativecommons.org/licenses/by/4.0/

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Sergio Fierens: How AI Is Shaping Software Engineering

SpaghettiCode

42 minutes 25 seconds

1 year ago

Sergio Fierens: How AI Is Shaping Software Engineering

For this cross-continental episode we have the pleasure of chatting with Sergio Fierens about AI and how it is shaping Software Engineering.

Sergio is a tech executive with experience in various companies across Europe, North America, and South America who's worked with AI in production. We delved into the historical development of AI, ethical considerations surrounding AI-generated content, job displacement concerns, the concept of prompt engineering, and the importance of teams experimenting with AI before integrating it into products. Exciting times ahead as we navigate the complexities and opportunities AI brings to the forefront.

The discussion covered the historical evolution of AI, the significance of LLMs in changing industries, ethical challenges, job displacement concerns, prompt engineering nuances, and the need to align superintelligence with human interests. Sergio recommends teams to experiment with AI tools and resources for efficient operations and staying abreast of AI developments.

Covered Topics:

1. Historical evolution of AI and the impact of big data

2. Ethical considerations in AI, such as copyright and data privacy

3. Job displacement concerns and the future of work with AI integration

4. Prompt engineering and its role in leveraging AI capabilities

5. Dangers of AI misuse, including fake content generation

6. Developing superintelligence alignment for ethical AI applications

7. Recommendations for product and engineering teams to experiment with AI tools

8. Resources for becoming more acquainted with AI advancements and transformer architectures.