My last post shared my personal experience with disappearing third places. This one looks at the data. Using the National Neighborhood Data Archive (NaNDA), I analyzed three decades of establishment trends across U.S. neighborhoods where people could eat, shop, exercise, and gather from 1990 to 2021. The dataset shows which spaces grew, which collapsed, and where access declined. It also reveals a clear pattern: America’s social infrastructure shifted, segmented, and became more paywalled.

I've always been someone who learns through experience: cooking, exploring, new activities. But the spaces where casual interaction happened are disappearing. Coffee shops are remote offices now. Libraries feel formal. Parks require a reason. Malls don't feel safe. Froyo shops closed. Nice bars are too expensive. These every day spaces between home and work/school places shaped how we connect. Without them, we're finding it hard to meet and be around people casually. Where are your third places? I'm still searching for mine.

I’ve always found pairings fascinating and exciting. This year I started experimenting more myself, putting together little food-and-drink menus at home. Somewhere in that process, I’ve been building a mental graph. Set A: foods. Set B: drinks. The “edges” are whatever actually works: harmony, contrast, surprise. I used to think pairing was mostly rules but now it feels like learning which nodes in your taste map want to connect, and why.

I didn't really learn to cook from recipes. I learned from my mom & friends showing me how, from cooking shows, from all the chefs that let me experience their dishes, from that one 4-hr food tour I did in Greece. Every time I make something now, I'm thinking about someone or somewhere. My cooking style is just everyone I've ever shared a meal with and all the places I’ve eaten at, all mixed together.

You know that moment when you're craving something familiar but the menu's full of unknowns? Or when you've moved somewhere new and can't find your comfort foods? I've found a way to decode unfamiliar dishes by recognizing their hidden connections to what you already love. Through 10 paired examples — from fried plantains vs. fried bananas to empanadas vs. meat pies — I demonstrate how to read the invisible architecture beneath what we eat.

I was updating my map of the AI ecosystem when a pattern emerged: most people talk about AI as if it's invisible software. It is a stack of dependencies, from rare earth minerals to power grids and massive data centers. Industries that never had to think about each other are now completely interconnected. The "invisible" physical systems that power our digital world are becoming visible, not to just a few.

From AlphaZero's blank slate to Superhuman's rebrand from Grammarly, 20 systems across 8 years reveal how AI naming evolved from functional to philosophical. Transformer announced a paradigm shift in 2017. ELMo and BERT made NLP approachable through Sesame Street characters. Agents/copilots are creating a new system. The metaphors are changing our relationship with technology.

When Anthropic names a model "Haiku," they're encoding design philosophy: maximum meaning, minimum tokens. AI vocabulary shifted from mechanical (overfitting, regression) to psychological (hallucination, memory). We don't panic about logistic regression the way we do for LLMs. Because once you name something like it has a mind, you've already committed to treating it that way.

When you interact with ChatGPT, you start noticing how you think. You refine prompts and realize you're mapping what you really want to know. You're not just getting answers, you're discovering how you ask questions. AI becomes a mirror, making the invisible systems of thought suddenly visible. We've always been part of feedback loops, shaping and shaped by the systems around us. The only difference now is that this feedback loop is immediate, responsive, and "feels more personal," forcing us to confront our role within it.