
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
GPT-5: User Disappointment and Declining Performance
This epislode primarily critique the recently launched GPT-5, highlighting widespread user dissatisfaction. Many users, especially on Reddit, report the new model as "horrible," citing issues like inability to perform basic math, poor image analysis, slow and unhelpful responses, and a lack of the "personality" or creative flexibility found in older versions like 4o and 4.1. Some speculate these perceived downgrades are due to cost-cutting measures or problematic internal "routing" of queries to less capable models on the ChatGPT website, rather than the API. Furthermore, concerns are raised regarding GPT-5's significantly increased energy consumption and the potential for a discrepancy between OpenAI's ambitious claims about AGI and the actual performance and utility of their latest model, suggesting it may not be the "paradigm shift" many anticipated for the AI industry.
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