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Kabir's Tech Dives
I'm always fascinated by new technology, especially AI. One of my biggest regrets is not taking AI electives during my undergraduate years. Now, with consumer-grade AI everywhere, I’m constantly discovering compelling use cases far beyond typical ChatGPT sessions.
As a tech founder for over 22 years, focused on niche markets, and the author of several books on web programming, Linux security, and performance, I’ve experienced the good, bad, and ugly of technology from Silicon Valley to Asia.
In this podcast, I share what excites me about the future of tech, from everyday automation to product and service development, helping to make life more efficient and productive.
Please give it a listen!
Kabir's Tech Dives
🤖 AI-Powered Programming: Startup Opportunities with Large Reasoning Models
Recent research from OpenAI explores how large reasoning models (LRMs) can transform coding and software development, especially for resource-constrained tech startups. The study highlights advancements in AI models like o3, which rivals top human programmers in competitive programming tasks. Startups can use these models to automate coding, enhance product development, and minimize their dependence on large development teams. Real-world applications include scaling competitive programming skills, improving development efficiency, and optimizing test pipelines. Despite implementation challenges like computational costs and training data needs, the potential return on investment makes LRMs a worthwhile pursuit for innovative startups. By adopting these tools, startups can scale programming capabilities, redefine product pipelines, and accelerate bringing innovative solutions to market.
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