AI and Software Development: What Engineers Need to Know with Mayank Jindal

OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

#Digital Transformation #Tech #Podcasting Education #Kashif Manzoor

50:30

Episode Notes [00:00] The Importance of Questioning [01:21] Introduction to Curated Questions [02:20] Meet Kevin Kelly [03:56] Kevin Kelly's Mentor: Stewart Brand [05:33] The Role of Questions in Intellectual Traditions [06:47] Disequilibrium and Growth [10:21] Embodied Questions and Exploration [11:11] Balancing Exploration and Exploitation [11:50] The Inefficiency of Questioning [15:53] The Abundance Mindset [18:39] The Inevitable and Quality Questions [19:26] Hill Climbing vs. Hill Making [22:28] The Challenge of Innovation [24:13] The Beauty of Engineering and Innovation [24:34] Navigating the Frontier of New Technologies [25:33] The Role of AI in Question Formulation [26:43] Challenges in Advancing AI Capabilities [29:11] The Long Now Foundation and the 10,000 Year Clock [29:56] Transmitting Values Over Time [31:03] Ethics in AI and Self-Driving Cars [33:26] The Art of Questioning [34:04] Photography: Capturing vs. Creating [36:12] The Inefficiency of Exploration [38:36] Daily Practice and Long-Term Success [40:17] The Importance of Quantity for Quality [43:22] Final Thoughts and Encouragement on Questioning [46:24] Summary Takeaways Resources Mentioned Wired Magazine Whole Earth Review WELL Hackers Conference What Technology Wants by Kevin Kelly The Inevitable by Kevin Kelly Cool Tools Project Long Now Foundation Stewart Brand Socratic Method Koan René Descartes Conde Nast Vouge Olivetti Typewriter Trolley Problem Terry Gross Lex Friedman Tim Ferriss KK.org Kevin2Kelly on Instagram Recomendo Newsletter Excellent Advice for Living Beauty Pill Producer Ben Ford Questions Asked When did you first understand the power of questions? Can I do that? Can that be something that you can learn? How did questions function differently between Eastern versus Western intellectual traditions? What role do you think embodied questions those we explore through doing rather than thinking play in developing wisdom? What's on the other side of the hill? What happens if you go to the end? What's the origin of this? How should one think about the exploratory in one's life? Is there anything that you would add to your list of 15 statements that define what makes a quality question? Is there a qualitative difference between the questions humans are asking and the questions our AI systems are beginning to formulate? What do you think would help them get there? Any idea on a forcing function on how we get them [LLMs] to ask the better questions so that they might improve in that direction? What were some novel questions that broke your brain at the time in thinking about this 10,000-year clock or beyond? What's it good for? What would you use it for? What else could you do over the long term for 10,000 years? How do you transmit values over time? How do you evolve values that need to change, and how do you make a difference? How do even know what you don't want to change? What do you want to continue? What's the most essential aspects of our civilization that we don't want to go away? What are the rules? What is the system? How do you pass things along in time and not change the ones you don't wanna change, and make sure you change the ones that are more adaptable so they can adapt? What do you think about questioning itself as an art form? How has being a photographer influenced the way you question reality, visually compared to verbally? Are you a photographer that takes photos or makes photos? What will happen? What will happen next? What are your right now questions that you are wrestling with or working with in your life? Can someone else do what I'm trying to do here? Am I more me in doing my art or more me in doing the writing? Do you have any other thoughts or encouragement about questions that we haven't explored? What makes a good question? How do you ask a good question? What questions do you dwell on to be in purposeful imbalance? What is your practice in embracing the inefficient nature of questions to achieve breakthroughs? What are the new hills you can build and frontiers you can explore? How can you use your curiosity and humanity to pursue questions that trend toward the fringes?…

about a year ago 22:48

MP3•Episode home

Welcome to Open Tech Talks.

In this episode, we’re speaking with Mayank Jindal, a Software Development Engineer, about AI's evolving landscape and its impact on software engineering. From AI use cases to challenges in model development, we cover strategies for aligning AI solutions with business needs, tips for staying updated in this fast-paced field, and career advice for aspiring developers.

Whether new to AI or looking to refine your skills, this episode delivers insights you can apply immediately.

Large language models (LLMs) are transforming software engineering by automating code generation, debugging, and testing. They enable developers to accelerate workflows but require engineers to upskill and adapt. While AI reduces repetitive tasks, developers need to focus on designing architectures, validating outputs, and ensuring AI-generated code meets quality standards.

This episode has covered AI's evolving role, its impact on software engineering, and strategies for addressing challenges in AI development.

Episode # 153

Today’s Guest: Mayank Jindal, Software Development Engineer, Amazon

He is a Software Engineer passionate about leveraging Artificial Intelligence to enhance the digital world.

Linkedin: Mayank

What Listeners Will Learn:

Understand how large language models (LLMs) influence software engineers' role and reshape development workflows.
Explore common challenges faced in AI development, including data quality, scalability, and performance optimization.
Discover strategies for keeping up with the rapid advancements in AI and machine learning technologies.
Gain practical tips for newcomers looking to start or grow their AI and software development careers.
Learn methods for translating business requirements into effective AI and machine learning models and tips for overcoming common obstacles.
Learn about real-world AI applications that are transforming industries and solving complex problems with AI

Resources:

158 episodes

OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

AI and Software Development: What Engineers Need to Know with Mayank Jindal

OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

published about a year ago

MP3•Episode home

Welcome to Open Tech Talks.

Whether new to AI or looking to refine your skills, this episode delivers insights you can apply immediately.

This episode has covered AI's evolving role, its impact on software engineering, and strategies for addressing challenges in AI development.

Episode # 153

Today’s Guest: Mayank Jindal, Software Development Engineer, Amazon

He is a Software Engineer passionate about leveraging Artificial Intelligence to enhance the digital world.

Linkedin: Mayank

What Listeners Will Learn:

Understand how large language models (LLMs) influence software engineers' role and reshape development workflows.
Explore common challenges faced in AI development, including data quality, scalability, and performance optimization.
Discover strategies for keeping up with the rapid advancements in AI and machine learning technologies.
Gain practical tips for newcomers looking to start or grow their AI and software development careers.
Learn methods for translating business requirements into effective AI and machine learning models and tips for overcoming common obstacles.
Learn about real-world AI applications that are transforming industries and solving complex problems with AI

Resources:

158 episodes

#Digital Transformation #Tech #Podcasting Education #Kashif Manzoor

All episodes

OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

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OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

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OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

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OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

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OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

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22:48

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OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

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OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

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OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

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OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

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33:39

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OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

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