Ideas Weave Every Narrative with AI.
We’ve all feared that AI is just a giant lookup table, memorizing answers without understanding. But ML research agents break this rule. They don’t overfit because they don’t live in static datasets—they explore dynamic worlds where the act of searching changes the questions. Overfitting is a flaw in the exam, not the model.
A single researcher trained a tiny transformer in 1.5 hours and it beat billion-parameter LLMs on the ARC benchmark — exposing the dirty secret of the AI industry: benchmarks are being gamed by synthetic data overfitting, and ’emergent reasoning’ is largely an illusion. Scale isn’t intelligence.
The St13 Python package promises to codify financial trend detection into a repeatable framework, but it’s a trap for the uninitiated. While developers obsess over technical indicators, the real battle lies in data quality and avoiding overfitting. Software is only as good as the assumptions it encodes, and no static package can outsmart human-driven market chaos.