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To learn more about the deepest reaches of our own galaxy and the mysteries of star formation, Japanese researchers have created a deep learning model. The Osaka Metropolitan University-led team used artificial intelligence to pore through the vast amounts of data being acquired from space telescopes, finding bubble-like structures that had not been included in existing astronomical databases.
The AI developer tooling landscape has rapidly expanded from simple autocomplete to a complex ecosystem of assistants, agents, and AI-first environments. In this post, I propose a practical classification based on how AI is positioned within your workflow—from "arm’s length" tools like ChatGPT to fully "AI-first" environments like Cursor.

Netflix’s personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including “Continue Watching” and “Today’s Top…
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