Li identifies three converging forces--deep learning algorithms, specialized GPU hardware, and massive labeled datasets--as the catalyst that launched modern AI. ImageNet, a 15-million-image repository, became the proving ground where each force amplified the others, leading to rapid gains in speed, accuracy, and capability.
View full episode →“Financial markets provide a small, noisy data set that makes overfitting especially dangerous”
“Over‑customising parameters for a single asset leads to a slippery slope toward overfitting”
“Regime‑dependent models must be re‑trained frequently because market dynamics change faster than data accumulates”