Artwork

Content provided by Kabir. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kabir or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

The Rise of AI-Assisted "Vibe" Coding and Programming Paradigms

17:32
 
Share
 

Manage episode 481702515 series 3605659
Content provided by Kabir. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kabir or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Is coding turning into a conversation? In this episode, we explore the rise of “vibe coding”—a new paradigm where developers use AI to write code through natural language prompts. Popularized by Andrej Karpathy, this approach is reshaping how we build software. But is it all speed and simplicity, or are we trading depth for convenience? We break down the tools, trends, and tensions behind this shift in the way we code.

Send us a text

Support the show

Podcast:
https://kabir.buzzsprout.com
YouTube:
https://www.youtube.com/@kabirtechdives
Please subscribe and share.

  continue reading

275 episodes

Artwork
iconShare
 
Manage episode 481702515 series 3605659
Content provided by Kabir. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kabir or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Is coding turning into a conversation? In this episode, we explore the rise of “vibe coding”—a new paradigm where developers use AI to write code through natural language prompts. Popularized by Andrej Karpathy, this approach is reshaping how we build software. But is it all speed and simplicity, or are we trading depth for convenience? We break down the tools, trends, and tensions behind this shift in the way we code.

Send us a text

Support the show

Podcast:
https://kabir.buzzsprout.com
YouTube:
https://www.youtube.com/@kabirtechdives
Please subscribe and share.

  continue reading

275 episodes

All episodes

×
 
This episode is based on the excerpts from a YouTube video featuring Sam Altman of OpenAI in conversation with Sequoia Capital. The discussion covers the evolution of OpenAI , starting from its research lab origins and the development of its large language models, including GPT-1 through GPT-3 and eventually ChatGPT. Altman reflects on the company's growth, product development philosophy, and strategic direction , emphasizing the importance of speed and a focus on building a core AI subscription service while also supporting external development through an API. He also addresses questions about the future of AI , its impact on industries and individuals, and the company's ongoing research and development efforts. Send us a text Support the show Podcast: https://kabir.buzzsprout.com YouTube: https://www.youtube.com/@kabirtechdives Please subscribe and share.…
 
This episode explores how artificial intelligence is transforming the tech industry and the broader job market. Drawing from 10 in-depth sources, we examine how major companies like Microsoft and Google are investing heavily in AI—leading to corporate restructuring, layoffs, and a major shift in required skills. As AI becomes central to operations, workers are being forced to adapt, upskill, or risk being left behind. We break down what this means for the future of work and the changing dynamics in the workplace. Send us a text Support the show Podcast: https://kabir.buzzsprout.com YouTube: https://www.youtube.com/@kabirtechdives Please subscribe and share.…
 
According to a report on Sam Altman's roadmap, the future of AI holds significant changes, particularly for businesses, over the next few years. Autonomous AI agents are expected to revolutionize coding , becoming a dominant force in software development by 2025. By 2026, AI is predicted to drive major scientific discoveries , potentially leading to significant breakthroughs in fields like medicine and materials science. Altman also foresees robots becoming serious contributors to the economy by 2027 , moving beyond niche uses to widespread integration in physical workspaces. Furthermore, AI customization is expected to evolve towards models with massive context windows , allowing them to deeply understand and leverage vast amounts of information. Finally, the development of a new protocol for AI agents to communicate is anticipated, akin to HTTP for the web, enabling seamless interaction between different AI services and organizations. Send us a text Support the show Podcast: https://kabir.buzzsprout.com YouTube: https://www.youtube.com/@kabirtechdives Please subscribe and share.…
 
In this episode, we spotlight the cutting edge of space innovation, drawing from Charlotte Hu’s article “19 Space Companies to Watch as They Shoot for the Moon and Stars” published on March 6, 2025. While the full list of companies isn't featured here, we explore what this kind of reporting reveals about the state of the space industry, media strategies like newsletter-driven engagement, and why tech journalism matters in shaping public interest in the cosmos. PS: space startups are not our focus but my son just announced he wants to study aero space so I was curious and called a few friends around to find out whats going on. Send us a text Support the show Podcast: https://kabir.buzzsprout.com YouTube: https://www.youtube.com/@kabirtechdives Please subscribe and share.…
 
Artificial Intelligence (AI) engineering is a rapidly growing field that combines principles of software engineering, data science, and machine learning to design, develop, and deploy AI systems. AI engineers need both technical skills—such as programming, data processing, and algorithmic understanding—and soft skills like communication and problem-solving. While it's a challenging profession, it offers vast opportunities across industries and enables engineers to make a significant impact on daily life through AI-powered solutions. The responsibilities of AI engineers span the entire AI system lifecycle, including data acquisition and preparation, model design and training, system integration, deployment, and monitoring. Generative AI tools, such as code generation and automated testing, enhance productivity and help automate repetitive tasks. However, ethical considerations like bias, security, and accountability remain critical in AI development and demand increased attention. Send us a text Support the show Podcast: https://kabir.buzzsprout.com YouTube: https://www.youtube.com/@kabirtechdives Please subscribe and share.…
 
The episode, originating from EVOKNOW , seems to be highlighting various resources and publications associated with it, specifically mentioning a guide titled "WHO IS WHO OF AI" which profiles prominent figures in the artificial intelligence field. The rest of the content lists several other seemingly independent entities, including StartupTalky , a startup media platform, Cestrian Capital Research offering investment research, The Berkeley Scanner for crime news, Creator Science focused on helping content creators, and the Product Marketing Alliance for product marketing professionals. This suggests EVOKNOW may either be a platform aggregating various resources or perhaps showcasing partnerships or recommended sites. The phrase "Powered by Ghost EVOKNOW" at the end further indicates a possible platform or publication model. Send us a text Support the show Podcast: https://kabir.buzzsprout.com YouTube: https://www.youtube.com/@kabirtechdives Please subscribe and share.…
 
Welcome to "Exploring AI and Reinforcement Learning," your audio guide to the exciting frontiers of artificial intelligence 3... . This podcast delves into the core concepts and algorithms powering intelligent decision-making, with a particular focus on Reinforcement Learning (RL) 7 , a subfield of AI and statistics dedicated to understanding how systems learn optimal actions in complex environments 7 . Drawing from a rich knowledge base covering academic research 3... and industry insights 1... , we break down complex topics. You'll learn about fundamental challenges like the multi-armed bandit problem 25 , different ways agents measure success over time using returns 33... , and how to model interactive problems with Markov Decision Processes (MDPs) 41... . We explore powerful techniques like Dynamic Programming (DP) for solving MDPs 48 , Monte Carlo methods based on complete episodes 51 , and the influential Temporal-Difference (TD) learning algorithms like TD(0) 89 , Sarsa 64 , and Q-learning 63 . Understand how eligibility traces 72 speed up learning and how function approximation 90 allows AI to tackle large problems. We also discuss the fascinating intersection of planning and learning 80 , highlighting applications from robotics to scheduling 6... . Plus, we touch upon the history of AI research 112... and recent breakthroughs like the Nobel Prize-recognized work on neural networks 107... . Join us to navigate the landscape of AI, ML, and RL. Send us a text Support the show Podcast: https://kabir.buzzsprout.com YouTube: https://www.youtube.com/@kabirtechdives Please subscribe and share.…
 
This episode discusses the benefits and risks of artificial intelligence (AI) in various contexts, from business operations to societal impacts. Several articles highlight the potential for AI to enhance efficiency, productivity, and innovation , leading to a clear return on investment (ROI) for businesses, although measuring this can be complex. Simultaneously, the texts emphasize the significant challenges and ethical considerations surrounding AI, including job displacement , the importance of addressing bias in algorithms, and the need for robust cybersecurity measures to protect AI systems throughout their lifecycle from design to maintenance. The importance of regulation and governance is also addressed, with a global overview of how different jurisdictions are approaching the evolving landscape of AI policy to ensure responsible development and use. Send us a text Support the show Podcast: https://kabir.buzzsprout.com YouTube: https://www.youtube.com/@kabirtechdives Please subscribe and share.…
 
This episode discusses learning and engaging with Artificial Intelligence (AI) and programming, particularly for high school students. These resources highlight the benefits of AI education , such as gaining practical skills, building portfolios, and enhancing college applications, and provide various avenues for learning, including online courses, project-based programs, workshops, summer camps, and competitive hackathons. They emphasize the importance of Python as a foundational language for AI and offer ethical considerations for teaching AI responsibly, addressing data privacy, algorithmic bias, and access. Some sources also touch on the evolving landscape of web development in the age of AI , with differing opinions on how AI will impact the field. Send us a text Support the show Podcast: https://kabir.buzzsprout.com YouTube: https://www.youtube.com/@kabirtechdives Please subscribe and share.…
 
This episode discusses various aspects of introducing artificial intelligence (AI) to K-12 students . They highlight the growing importance of AI literacy for young learners and explore different approaches and tools for teaching fundamental AI concepts and skills. Several sources detail specific curricula and activities , including hands-on projects with conversational AI and unplugged exercises, while others focus on ethical considerations and the need for responsible AI use among students. The accessibility and distribution of AI educational opportunities, particularly through summer camps , are also examined, noting disparities in availability and cost. Finally, resources and tools are presented for teachers and parents to support AI education in both formal and informal settings. Send us a text Support the show Podcast: https://kabir.buzzsprout.com YouTube: https://www.youtube.com/@kabirtechdives Please subscribe and share.…
 
This episode explores the rapid advancements and adoption of Artificial Intelligence (AI) across various sectors in 2025. Several sources highlight how small and medium-sized businesses (SMBs) are increasingly leveraging AI tools like Microsoft 365 Copilot and Google Workspace to boost efficiency and compete with larger companies, noting that AI is a top technology trend for SMBs and is accelerating tech investments. Simultaneously, other sources discuss the broader landscape of AI development , detailing new models and applications from major players like Google, Meta, and OpenAI, and showcasing how AI is being used in areas such as digital advertising, content creation, and automation. Finally, some of the text touches on the evolving discussions around AI ethics, safety, and regulation , including concerns about bias, misuse, and intellectual property, as well as significant organizational changes within key AI companies like OpenAI. Send us a text Support the show Podcast: https://kabir.buzzsprout.com YouTube: https://www.youtube.com/@kabirtechdives Please subscribe and share.…
 
Is coding turning into a conversation? In this episode, we explore the rise of “vibe coding”—a new paradigm where developers use AI to write code through natural language prompts. Popularized by Andrej Karpathy, this approach is reshaping how we build software. But is it all speed and simplicity, or are we trading depth for convenience? We break down the tools, trends, and tensions behind this shift in the way we code. Send us a text Support the show Podcast: https://kabir.buzzsprout.com YouTube: https://www.youtube.com/@kabirtechdives Please subscribe and share.…
 
What if an AI could use a computer just like you? Meet Agent S—an autonomous system that navigates GUIs like a human, learns from experience, and taps into memory and web knowledge to complete complex tasks. In this episode, we unpack how Agent S pushes the boundaries of task automation and what it means for the future of human-computer interaction. Send us a text Digital Disruption with Geoff Nielson Discover how technology is reshaping our lives and livelihoods. Listen on: Apple Podcasts Spotify Support the show Podcast: https://kabir.buzzsprout.com YouTube: https://www.youtube.com/@kabirtechdives Please subscribe and share.…
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Listen to this show while you explore
Play