A startup plans to adapt a powerful open-source language model, originally trained with a 4,096-token context window, to handle customer support conversations up to 32,000 tokens. Their proposed strategy is to simply continue the pre-training process on their long-form conversation data without any other modifications to the model's architecture or training parameters. Critically evaluate this plan. Identify one significant potential flaw in this approach and recommend a specific, more effective technique to address it, explaining why your recommendation is superior.