Ideas Weave Every Narrative with AI.
We’re obsessed with AI’s ability to write code, but we’re ignoring the real bottleneck: the App Store. The future of software isn’t about generating apps on the fly, it’s about who controls the runtime. The end of software is actually the beginning of a war over digital gatekeeping.
The Apple Vision Pro is speeding up endoscopic surgery by 20%, proving its underlying tech is a medical marvel. But this success exposes a fatal flaw: Apple is accidentally selling a consumer toy to hospitals, and they will likely abandon this high-value niche to chase mass-market dreams, just like Microsoft did with HoloLens.
The skeptics who mocked early automobiles weren’t fools—they were rational. They saw real flaws in a new technology. But they missed the systemic build-out that made it successful. Today, when we dismiss new innovations, we’re making the same mistake. The lesson: separate short-term accuracy from long-term potential.
Demis Hassabis’s departure from Google isn’t a story about corporate brain drain—it’s the catalyst for an accelerated AGI race. Freed from shareholder pressure and bureaucratic drag, Hassabis is poised to launch a hyper-focused entity that could outpace every incumbent. The future of AI just shifted.
We’ve been pretending prompt engineering is an art form, but it’s actually a compiler problem. WeaveMark, a new open-source specification language, moves us from ad-hoc, brittle prompts to reusable abstractions. If you’re tired of rewriting prompts for every new task, it’s time to stop guessing and start specifying.
The greatest barrier to innovation isn’t a lack of resources or intelligence, but our inability to imagine realities outside our mental models. We tell people to “think outside the box,” but the hard truth is we don’t even know the box exists. AI might be our first real chance to see it.
When I built a tactile 3D map for my blind friend, I discovered that most accessibility design is just lazy translation — converting visual content into another format instead of rethinking how a non-visual mind actually processes spatial information. The real innovation isn’t tactile maps; it’s designing for cognition, not for sight.
Ford’s CEO recently admitted that allowing Chinese cars into the US would mean the death of American manufacturing. That isn’t a victory—it’s a death rattle. Tariffs and protectionism aren’t saving US automakers; they are just delaying the inevitable collapse by subsidizing incompetence. We are building for a past that’s never coming back.
Isolation is the enemy of insight. Comparative biology proves that the most profound truths about life, markets, and products don’t come from studying things in a vacuum—they come from mapping the differences between them. If you want to understand the rules of the game, stop staring at a single data point and start looking for the meaningful differences.
In 1903, the New York Times confidently declared that human flight was 10 million years away. Nine days later, the Wright brothers took off. This wasn’t just a bad prediction; it was a fundamental misunderstanding of how innovation works. We are making the exact same mistake today with AI and space tech.