Current language models struggle with discovery tasks not because they lack capability or data, but because the pre-training process did not incentivize connection-making between disparate concepts; training the models specifically to perform discovery tasks (e.g., through RL on benchmark sets of novel connections) could plausibly overcome this limitation.