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We cover machine learning insights, research findings, practical tutorials, and deep dives into ML library gotchas and edge cases.

Latest Posts

Concept of Large Financial Models

December 17, 2025

When one AI model decides to become a specialist instead of a generalist: training a single model to obsess over one ticker until it knows it better than its own reflection.

React2Shell: When Your Framework Lets Attackers Run Code

December 13, 2025

How asking JavaScript 'are you trustworthy?' and believing the answer led to a CVSS 10.0 RCE vulnerability. The prototype chain strikes again.

The Weirdest Bugs I've Encountered in ML

December 12, 2025

Debugging ML is like debugging a haunted house: NaN strings, models that only work on Tuesdays, and floating point math that lies to your face.