Deep dives into software, hardware, and the ideas reshaping how we build things.
When we picture pollution, it’s usually smokestacks, gridlocked highways, or plastic swirling in the sea. But there’s a quieter kind of emission humming away inside windowless buildings all over the world: the energy burned to train enormous neural networks. I’m Rui Mendes, and I’ve been following the power flows behind the software that increasingly runs …
Continue reading “The Hidden Carbon Footprint of Machine Minds”
When we ask a machine to learn language—to chew through billions of sentences and find the patterns—we almost never ask what that learning costs. Not money, not engineering time. Something quieter and more physical. I’ve been chasing this question through research papers, energy grid maps, and water-use reports, trying to sketch the real shape of …
I used to picture forest monitoring as some solitary researcher with a clipboard, tallying trees one by one under a hot sun. That mental snapshot fell apart fast. What’s actually going on is stranger and more systemic: a swarm of satellites, hundreds of them, crisscrossing overhead, silently measuring every hectare of forest on the planet …
Continue reading “How Satellite Data Helps Track Deforestation in Real Time”
The A100 GPUs in Loudoun County, Virginia sit at 70°C, a steady hum you’d feel in your chest if you were standing in the aisle. Someone in São Paulo taps “generate.” A 100-page neo-noir screenplay. The model—probably a fine-tuned LLM running on a hyperscale provider—processes the prompt in seconds. Scene headings, dialogue, parentheticals spill down …
I remember the first time I saw a satellite image of a logging road slicing through a patch of Amazon rainforest. It looked like a scar—thin, deliberate, and impossibly remote. I wondered who was watching that road grow longer each week, and whether anyone could stop it before the forest canopy collapsed around it. That …
I still remember the first time I stared at a satellite image long enough to notice the change. It was a stretch of tropical forest in Rondônia, Brazil, and at first glance it was just a green smear on the screen. But when I flicked between two dates—one from January, another from June—the difference hit …
It’s weird how a forest can disappear without anyone really noticing until it’s too late. A few hectares shaved off here, a rough track cut through there, and before you know it an ecosystem that took centuries to knit itself together is just… gone. For years we tracked this loss with ground surveys, scattered reports, …
Continue reading “Watching Forests Fall from Orbit—and What Happens Next”
I remember staring at a satellite image of the Amazon, caught off guard by a patch of brown where deep green had been just weeks before. It felt like watching a slow wound open. That moment sparked a question that hasn’t left me: how do we actually see deforestation as it happens, not months later …
Continue reading “Watching the Forest Fall: How Satellite Data Tracks Deforestation in Real Time”
I still remember the moment I stood in my living room, staring at a drawer full of old phones, tangled chargers, and a laptop that hadn’t powered on since 2015. It made me wonder: what actually happens to all this stuff? That curiosity spiraled into a deeper question about the systems behind our discarded electronics. …
Continue reading “Why E-Waste Is the Fastest Growing Waste Stream”
When I walk through a patch of scrubland near the coast, I often wonder what else is moving through it besides me. The birds are obvious enough if you stand still and listen, but the insects, the small mammals, the nocturnal visitors—those are guesswork. For a long time, monitoring biodiversity meant exactly that: a human …
Continue reading “How Technology Can Support Biodiversity Monitoring”