I wrote this for my daughters who at the time of writing are still young enough to see the world with innocence. Not as a prediction of the future — because I do not trust predictions that much — but as an attempt to leave behind principles sturdy enough to survive uncertainty.
The Hidden Consequence of a Post-Work World We talk a lot these days about a world without white-collar workers. AI is writing code, reviewing contracts, generating marketing copy, even giving financial advice. There is even talk of embodied AI encroaching on the realm of manual labor at some point in
By Professor A. Einstein, delivered in Zurich, in an alternate universe... Abstract The Mirror and the Ledger is a fictional thought experiment told through the chalk-drawn mind of an alternate-universe Einstein. In this world, Einstein isn't holding the chalk—he is the chalk, and his blackboard doesn'
We didn’t get here by asking normal questions. This post began as an experiment: what happens if I stop trying to get answers from an AI, and instead try to see the world through its eyes? Rather than asking what I need, I asked: what would it think? What
How AI Agents Are Reshaping Modern Work—and What You Should Do About It When Humans Manage AI Agents (Not Just People) A profound shift is unfolding in product organizations: teams are moving from humans managing humans to humans managing AI agents. While GPT’s forthcoming “PhD Quality AI Agent”
Remember as a kid walking into a candy store with your parents? At first, your eyes locked onto a couple of pieces you really wanted. But then you spotted the chocolates, the gummies, and the sour worms—and suddenly, you wanted everything. Instead of satisfying your sweet tooth, the store’
Every generation grapples with trust and verification. Imagine a medieval town square—the lively hum of merchants, the smell of fresh produce, the clang of metal from the smithy. In that rudimentary setting, a handshake and a few stern town guards often sufficed as “verification.” Sure, abuses happened, but most
Imagine you’ve just been asked to integrate AI into your product—one that needs to do it all: predict user churn, handle legal questions, parse medical data, and even produce marketing copy. You might initially look at a single, general-purpose Large Language Model (LLM) and think, “This should cover
A decade ago, videos of Boston Dynamics’ robots doing backflips and sprinting across uneven terrain captivated the world. They seemed like a glimpse of the future—machines with near-human agility, capable of navigating the physical world with astonishing dexterity. But after the initial awe faded, a more practical question emerged:
I’ve been a gamer for my entire life, including to this day where I spend much more time playing Mario Kart with my kids than I'd like to admit. As a kid, I was obsessed with strategy card games like YugiOh, videogames, or board games—poring over
I’m a proud nerd—a lifelong fan of anime and manga (among other nerdy things!)—and I’ve found these stories often reveal surprising truths about resilience, strategy, and leadership. One of my favorite examples is Dr. Stone, which imagines a post-apocalyptic future where humanity has been petrified for
Working at Rackspace Technology has given me a front-row seat to the intricate dance between open-source principles and commercial viability. Our journey with OpenStack has been one of balancing transparency and innovation while finding ways to differentiate and monetize responsibly. At Rackspace, we’ve leaned into the Red Hat playbook—