AI's biggest current bottleneck is still the limitation of the Context window. This issue may seem simple, but its impact is profound—no matter how large the model parameters are, a too-short Context means it cannot truly understand the full context of long texts or long conversations. Often, the answers provided by AI don't seem smart enough, not because of a lack of intelligence, but because it cannot see the full information. If we can break through the ceiling of Context length, many AI capabilities that currently seem "similar" could experience a qualitative leap. This is also why all companies are investing resources into researching long-Context models—whoever solves this problem first will gain the initiative in the next generation of AI.