Books

These are an assortment of books (not all the books) and papers that I have read, and I think is worthwhile for anyone to read.

Interesting worthwhile resources

These are all worthwhile people to follow, what they write and have written provides a diverse viewpoint on things that interest me. Note these may not be your interests.

• Seth Godin – The bestselling author, marketer and entrepreneur. Learnings from his blog inspired me when I started Knowledge Cue.
• Bill Gates – I’ve admired Bill and his work ever since I tapped on a keyboard and used DOS. I got to see him in 2006 at Mix06.
• Paul Graham – The co-founder of Y-Combinator – if you can invest the time and read his essays – discussing venture capital, human nature, trends, biases, and more.
• The Rabbit Hole by Blas Moros – Great section on book summaries and a range of interesting articles and essays.
• Farnham Street (Shane Parrish) – Fascinating insight into books, articles and other interesting reads. Check out the Mental Models section and Experts vs. Imitators.
• Steve Magness (Science of Running) – With my keen interest in running and becoming a NZ Athletics accredited coach I have followed Steve’s blog for a long time. He was also the whistleblower who spoke out against Alberto Salazar and Nike’s Oregon project’s doping and athlete abuse.

Other Interesting worthwhile links

The Growth Equation – if you want a grounded perspective on sustainable performance and excellence then, follow and read what Brad Stulberg and Steve Magness have to say.

Acquired – Every company has a story. Learn the playbooks that built the world’s greatest companies — and how you can apply them as a founder, operator, or investor. One of THE best ways to learn about the business of business and startups.

The Sequoia Capital Stories section has many insights on latest technology and a section where they interview founders. Well worthwhile to bookmark and or subscribe. Also has a podcast section.

Computer Science Unplugged – aka CS Unplugged is a collection of free learning activities that teach Computer Science through engaging games and puzzles that use cards, string, crayons and lots of running around. If you have curious learners, please point them here so they can learn Computer Science without a computer.

Better Explained – Great site if you are challenged by math, who isn’t? “If you can’t explain it simply, you don’t understand it well enough.” Check out the ADEPT method and its applicability.

Experimentations

In my curiosity of experimenting with generative AI capabilities, I’ve been looking at using several capabilities of LLM implementations (ChatGPT, Copilot, Claude etc).

One (recent) tool that I quite like so far is NotebookLM by Google which allows you to create summaries from uploaded content including a feature called Deep dive. I was inspired by a few people including Andrej Karpathi who used the “deep dive” feature to create a series of podcasts. Read more about how this has been a hit with a few others.

So, to satisfy my curiosity I fed a few of my own blog posts and have created this podcast titled “Emergent Tech Insights” it’s on Spotify if you want to try it out. There are two episodes so far.

Please note that this is purely an experimentation and nothing more. There are many more generative AI based tools and there will be more. The key is using them to create things that are of value.