Thoughts on Failure (and Success) @ Forbes
If you would like to check out some more of my writing, do check out a recent piece I did for Forbes here.
The Failure Myth
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Learn Slow So You Can Move Fast
I learned to code the old-school way: I bought a Python textbook and went through examples and exercises, page by page, writing all the code from scratch. Today, we have AI agents writing code for us. I often use Cursor and LLMs to rapidly generate snippets or whole sections of
The Gen AI Frenzy: What’s Hype, What’s Real, and Where’s the Productivity?
Today, I read two contrasting articles. One posited that we are near the peak of investor hype in Gen AI. It argued that productivity gains from this new technology will be incremental rather than transformative. Another article suggested the opposite. It made the distinction between good bubbles and bad bubbles,
Prompt Engineering: A Surprising Switching Cost of Large Language Models
I've been working on some exceptionally long LLM prompts for a couple of projects at work. I've noticed a fascinating phenomenon: A prompt that works well with one model can diverge in performance when applied to another. This presents switching costs for developers and businesses. You
A Goldilocks Introduction to AI Agents: Opportunities, Challenges, and Everyday Impact
AI agents have quickly evolved from obscure technical experiments to mainstream buzz. In the last 18 months, new automation capabilities have captured the imagination of entrepreneurs and established organizations alike. While it’s possible that we’re in another AI bubble, the early adopters of AI agents are reporting impressive