Jika AI Begitu Bagus, Mengapa Ia Tidak Dapat Membuat Datanya Sendiri?

In this video we explore the recent paper "Self‑Adapting Language Models" (SEAL), which shows how a large language model can generate its own synthetic data, fine‑tune LoRA adapters, and in just two rounds outperform larger models on benchmarks such as SQuAD and ARC. The discussion covers the methodology, results, and implications for future AI research.