The abridged version of my latest Substack post. You can find the full essay as NVIDIA is a long-term bet against Moores’ Law on The Puzzle and its […]
Continue readingAuthor: peg
The Great Unraveling
The tech industry is transitioning from high-margin, high-growth to low-margin, low-growth, greatly contributing to the market ‘chaos’ we’re experiencing. After decades in of optimising processes within closed ecosystems, we’ve hit the limits of this approach.
Continue readingLet Generative AI Be Itself, Not an Imitation Human
The first proper post is up on the Substack, Let Generative AI Be Itself, Not an Imitation Human.
Continue readingBook Updates Moving to Substack
For those following my book-related posts, I’m making a slight change to how I share this work. To better organise this expanding body of work, I’ve recently launched a Substack newsletter where I’ll be sharing book excerpts, work-in-progress concepts, and applications of the analytical framework I’m developing.
Continue readingThe Longevity Imperative
Scott, Andrew J. The Longevity Imperative: How to Build a Healthier and More Productive Society to Support Our Longer Lives. First U.S. edition. New York: Basic Books, 2024.
I’ve been following Prof. Scott’s work for some time and was glad when The Longevity Imperative was published as it provides an overview of the demographic change we’re in the midst of. While discussions about aging populations often frame demographic shifts as a crisis to be managed, particularly in policy and business forums, what’s refreshing about Prof. Scott’s work, and this book in particular, is that we can also frame this demographic shift as an opportunity.
Continue readingThe Way We Eat Now
Wilson, Bee, and Annabel Lee. The Way We Eat Now: Strategies for Eating in a World of Change. London: 4th Estate, 2019.
I discovered Bee Wilson through Consider the Fork, an excellent ‘history of how we cook and eat’ that draws heavily on Kranzberg’s Laws. Recently, I came across The Way We Eat Now, first published in 2019. While Consider the Fork examines the evolution of kitchen technology, this book explores how our relationship with food—and related cultural practices—has changed over time.
Continue readingThree (good) books on creativity
Creativity is an important and interesting topic. Unfortunately it’s a topic that seems to be dominated by hot takes, uninformed speculation, and personal anecdotes. This is even true for much academic work and articles in magazines published by the b.schools.
There’s a rich body of creativity research full of all sorts of interesting ideas, but it’s often ignored or glossed over. One factor contributing to this is the lack of a good introductory book for a general reader. For some time I’ve been referring folk interested in creativity research to Teaching creativity in the common core. The books limitation, though, is that it’s focused on secondary education which can be a distraction for some readers.
A new book, The creativity advantage by James Kaufman (one of the authors of Teaching creativity in the common core) neatly fills this hole. James provides us with an easy to read overview of research into creativity (in a somewhat quirky style, but which works) and delves into some of the benefits of creativity (beyond the obvious). The whole narrative is illustrated with anecdotes to help make the ideas concrete for the read. It’s now my go-to recommendation for a a good introductory book on creativity.
Continue readingPredicting the unpredictable
Predicting the future of work presents significant challenges due to the intricate interplay between technological advancements and human decision-making. To better understand the potential outcomes and critical decision points, more sophisticated models are necessary.
Continue readingDecision Making in Uncertain Times
With (Australian) Robodebt and the (UK) Post Office in the news, now is a great time to reconsider how we govern our organisations and institutions. How is it that highly regarded executives and boards went so far astray?
Continue readingThe limits of generative AI
Whilst cruising the interwebs I can across a nice description of the limits of large language (LLMs) models.
Continue reading