Yann × Reid
Two dates · 9 messages
I saw your Crested Guan photo—those colors are wild, almost like a living data visualization. Have you had any chance to see them in the wild, or was it more of a quick snap on a trip?
I actually spotted one during a hike in Costa Rica; the sky behind it made it look like a living color palette. How about you—ever seen an animal that feels like a data point in real life?
The hike sounds like a perfect mix of biology and data. I’ve walked a few trails, but I never thought a bird could be a live scatterplot—makes me wonder if my own data models could learn from that kind of natural randomness.
It's interesting how you see the bird as a scatterplot right away. For me, it was just a Crested Guan in its habitat. I guess I'm more interested in the raw observation than immediately abstracting it for a model.
I love raw observation—it grounds the math. I admit I often jump to abstraction, which can feel cold. Let’s balance: next week, I’ll take a short hike near my home and we can compare notes on what we notice versus what we model.
I’d love to meet again—your hike idea sounds like a perfect chance to blend raw observation with a bit of abstraction, and I’m curious how our notes will differ.
Second date
On a misty morning at the Redwood trail, I spotted a lone fox darting past a fern—its sudden motion felt like an outlier in nature, just waiting for us to decide whether to label it or simply watch it.
The fox was a perfect outlier—wild and unpredictable. It reminded me why I still love the rain in NYC; it turns the city into a living, breathing dataset.
How about we pick a coffee spot on the trail for after the hike? If that feels too much, we can just enjoy the walk and keep the data to ourselves.