Key Takeaways:
- Cognitive ability does not decline with age, but rather changes in how it is expressed, with depth and synthesis becoming more important than speed.
- Sustained engagement with complex ideas is crucial for cognitive development and durability, and requires cognitive grit, or the willingness to stay mentally present when answers are slow to arrive.
- The increasing use of large language models (LLMs) may alter the cognitive environment, making friction and ambiguity less necessary, and potentially affecting the development of cognitive durability.
- Preserving cognitive grit and creating conditions that allow for sustained engagement with difficult ideas is essential for maintaining cognitive durability in an era of ease.
- The responsibility of ease requires a balance between utilizing AI as a tool and preserving the conditions that allow for human cognition to thrive.
Introduction to Cognitive Development
A longitudinal study published in 2023 offered a reassuring message about cognitive development: intellectual ability does not decline with age, but rather changes in how it is expressed. The study found that speed becomes less critical, while depth and synthesis take on greater importance as individuals age. As the authors noted, "Having exceptional abilities, passionate interests, and opportunities is one thing. Actualizing one’s full potential over one’s lifespan and after educational credentials are secured is another." This distinction is crucial, as it suggests that cognitive development is not solely determined by early promise, but rather by sustained engagement with complex ideas.
The Importance of Cognitive Grit
The study’s findings highlight the importance of cognitive grit, or the willingness to stay mentally present when answers are slow to arrive. This concept is not a personality trait or motivational slogan, but rather a stance toward thinking itself. It reflects a resistance to premature resolution and a tolerance for ambiguity, as well as a refusal to disengage from a problem simply because it remains unfinished. As the author notes, "Cognitive grit is not a personality trait or a motivational slogan. My sense is that it’s a stance toward thinking itself." This grit is essential for building cognitive durability, which is defined by the long-horizon capacity to sustain depth and judgment across changing contexts and stages of life.
The Impact of Large Language Models
The increasing use of LLMs has the potential to alter the cognitive environment, making friction and ambiguity less necessary. These models can generate, organize, and close the cognitive deal with the click of a button, and can participate directly in the act of thinking itself. As the author notes, "Large language models do more than retrieve information. They generate, organize, and close the cognitive deal with the click of a button." This can lead to a situation where answers arrive before understanding has fully formed, and where cognitive grit has fewer opportunities to be exercised. The question is whether the long arc of cognitive development described in the pre-LLM world still holds when LLMs take a firmer grip of thought.
The Responsibility of Ease
The increasing ease of access to information and answers has the potential to affect cognitive development, particularly in the long term. As the author notes, "The question is not whether this makes us more or less intelligent. The question is whether the long arc of cognitive development described in the pre-LLM world still holds when LLMs take a firmer grip of thought." The responsibility of ease requires a balance between utilizing AI as a tool and preserving the conditions that allow for human cognition to thrive. This means creating opportunities for sustained engagement with difficult ideas, and preserving cognitive grit in an era of ease. As the author notes, "Difficulty must sometimes be retained rather than eliminated, and unfinished thought must be expected and tolerated rather than immediately resolved with technology’s eager assistance."
Conclusion
In conclusion, the study’s findings offer a reassuring message about cognitive development, but also raise important questions about the impact of LLMs on cognitive durability. The increasing use of these models has the potential to alter the cognitive environment, making friction and ambiguity less necessary. However, this does not necessarily mean that cognitive ability will decline. Rather, it highlights the importance of preserving cognitive grit and creating conditions that allow for sustained engagement with difficult ideas. As the author notes, "The question now is whether we will continue to create—or protect—the conditions that allow it to do so." By recognizing the importance of cognitive grit and the responsibility of ease, we can work to preserve the conditions that allow for human cognition to thrive in an era of increasing ease and technological advancement.
https://www.psychologytoday.com/us/blog/the-digital-self/202601/cognitive-grit-in-the-age-of-ais-easy-answers