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Gradient & Git covers the GitHub projects, AI/ML papers, and new models worth a closer look.

I go past the launch post. For open-source projects, I look at the code, how the system is built, and whether the demo holds up. For papers, I read the methods and ablation studies, not just the headline benchmark. For models, I look at how they were evaluated, what they cost to run, and where they fail.

I’m a PhD-trained AI researcher from an Ivy League University. This channel is my running notebook on what’s genuinely new, what you can try, and what deserves a closer read.

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