Data science
fromMedium
1 day agoContext matters... A lot
Large language models excel at tasks but struggle with context, leading to potentially misleading answers despite their capabilities.
Santa Cruz de Tenerife is one of the most idyllic cities in the Canary Islands. At its heart stands the jewel - the Auditorio. It's a place where talent from both worlds, New and Old, comes together. A theatre, opera, dance, and music heaven.
Google recently released a new AI model, Gemini 3.1, that demonstrates great results in UI and web design tasks. I've already tested this model for web design tasks and in this article, I want to experiment with Gemini 3.1 and generate UI for a mobile application.
Instructions I created. Instructions I am continuing to hone - instructions that required me to study my own old essays, identifying what I do when I write. The sentence rhythms. The way I move between timescales. The zooming in and out from concept to detail. The instructions tell Claude how I would like ideas composed. I pull together concepts and experiences from my lived expertise to formulate a point of view - in this case, on this new AI technology.
Performance is a critical factor in user engagement, where even minor delays in loading can deter users. A clean and simple user interface also contributes significantly to user retention.
Today we are at the cusp of revolutions in artificial intelligence, autonomous vehicles, renewable energy, and biotechnology. Each brings extraordinary promise, but each introduces more complexity, more interdependence, and more latent pathways to failure. This elevates prudence to be critical. Good design recognizes what cannot be foreseen. It acknowledges the limits of prediction and control. It builds not merely for performance, but for recovery.
Something's been slowly shifting in the design zeitgeist. I've been watching my feed on X and the vibe has changed. More and more, I see designers sharing finished experiments or prototypes they coded themselves, rather than static Figma files. Moving from working on a canvas to talking to an LLM. The conversation isn't "here's a design I made" anymore... it's "here's something I shipped this afternoon."
AI is disrupting more than the software industry, and is doing so at a breakneck speed. Not long ago, designers were deep in Figma variables and pixel-perfect mockups. Now, tools like v0, Lovable, and Cursor are enabling instant, vibe-based prototyping that makes old methods feel almost quaint. What's coming into sharper focus isn't fidelity, it's foresight. Part of the work of Product Design today is conceptual: sensing trends, building future-proof systems, and thinking years ahead.
In Andor, I got chills when Mon Mothma warns the senate of a chilling truth: When we let noise, conformity, or fear dominate, we lose sight of what matters. We risk allowing the loudest voices, often the safest, the most predictable, to drown out individuality, identity, and truth. To me, this line... This line echoes a growing tension I feel in content design.
To be honest, for many years, I was mostly reacting. Life was happening to me, rather than me shaping the life that I was living. I was making progress reactively and I was looking out for all kinds of opportunities. It was easy and quite straightforward - I was floating and jumping between projects and calls and making things work as I was going along. Years ago, my wonderful wife introduced one little annual ritual which changed that dynamic entirely.