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A year ago I was running small shops in Seoul - a cafe, a convenience store, food. I can't really code. But I kept watching AI "computer use" demos and thinking: this is amazing, and also I would never use it every day.
I localized a mobile app into ten languages. Most of what I'd read beforehand was about how to translate. Almost none of it was about what goes wrong after, which turned out to be the harder half.
Most people using the products I work on are preparing for a US licensing exam in a language that isn't their first. Many are studying after a full shift. Some have not sat a formal written test in twenty years.
I built AfterPack; this is the launch post from our blog. Today we're launching three things: AfterPack , a modern JavaScript obfuscator for the AI era. It turns your production build into a different program every time: a new shape on every build, and on every request inside a Cloudflare Worker.
Privacy-Preserving Active Learning for planetary geology survey missions with embodied agent feedback loops Introduction: A Lesson from the Red Planet While exploring the intersection of multi-agent reinforcement learning and Federated Learning (FL) last year, I stumbled upon a problem that kept ...