How Humans Grew Acorn Brains: The Evolution of Long-Term Thinking and Planning
Hatched by Kazuki Nakayashiki
Aug 15, 2023
5 min read
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How Humans Grew Acorn Brains: The Evolution of Long-Term Thinking and Planning
When it comes to long-term crises, humanity's track record isn't exactly stellar. Our response to the climate emergency has been slow and inadequate, despite its imminent and far-reaching impacts. So, why are we so prone to prioritize instant rewards and immediate gratification over long-term thinking? The answer lies in our neuroanatomy.
Within our brains, there exists an ancient part called the Marshmallow Brain, which is approximately 80 million years old. This part of our brain focuses our attention on instant rewards and immediate gratification. It's the part that makes it difficult for us to resist that tempting treat placed in front of us. Interestingly, the ability to delay gratification is influenced by socioeconomic factors. Those from wealthier backgrounds tend to find it easier to resist the treat, while those with a lack of trust and fear of scarcity are more likely to give in to immediate gratification.
But alongside the Marshmallow Brain, we also possess a more recent addition called the Acorn Brain. Located in the frontal lobe just above our eyes, particularly in an area known as the dorsolateral prefrontal cortex, this part of our brain is only about two million years old. It grants us the unique ability to think, plan, and strategize over long timeframes. If we are to effectively tackle long-term challenges like the ecological crisis, we must tap into this extraordinary capacity and become part-time residents of the future.
The human capacity for long-term thinking is hailed as one of the brain's most remarkable innovations. Evolutionary psychologists and archaeologists offer four main explanations for the evolution of our brains' ability to think and plan over long timespans.
The first explanation is a survival skill known as "wayfinding." Over the course of two million years, our protohuman ancestors developed the ability to orient themselves in physical space and navigate from one place to another. This skill was crucial during hunting or foraging expeditions or when searching for shelter.
The second enabler of long-term thinking is often referred to as the "grandmother effect." Research suggests that the presence of grandparents, particularly maternal grandmothers, plays a vital role in reducing infant and child mortality. Older post-reproductive females provide essential childcare, knowledge, and other forms of support that enhance the survival chances of the young. Trust and reciprocity thrive when individuals know that the help they provide in the present will likely be reciprocated in the future. Time is intricately woven into the fabric of mutual aid.
Lastly, our exceptional capacity for toolmaking contributes to our ability to think long term. As our brains evolved and we gained the ability to create complex tools, we also developed the capacity to plan and execute intricate sequences of actions. Planning the creation of a stone tool paved the way for other forward-looking actions with long time horizons, such as crop rotation or the construction of monumental structures like pyramids.
While our brains have evolved to possess this remarkable ability for long-term thinking, it's not always at the forefront of our decision-making. Studies have shown that individuals who are taught to believe that humans are primarily rational, self-interested beings are more likely to act selfishly in their behavior.
Now, let's shift our focus to GPT-4, the latest iteration of OpenAI's language model. GPT-4 brings forth even greater levels of creativity and collaboration. It can generate, edit, and iterate with users on various creative and technical writing tasks, such as composing songs or writing screenplays. The model has undergone extensive improvements based on human feedback, including suggestions from ChatGPT users. OpenAI has also sought feedback from over 50 experts in domains such as AI safety and security.
Despite these advancements, GPT-4 still possesses certain limitations that OpenAI is actively working to address. These include social biases, hallucinations, and susceptibility to adversarial prompts. OpenAI is committed to promoting transparency, user education, and wider AI literacy as society adopts these models. They also aim to expand the avenues for user input in shaping the development of their models.
To effectively tackle long-term challenges, both as individuals and as a society, we can implement three actionable pieces of advice:
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Cultivate the habit of delayed gratification: Train yourself to resist instant rewards and prioritize long-term goals. This can be achieved through goal setting, creating action plans, and building resilience to withstand short-term temptations.
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Foster intergenerational connections: Recognize the value of older generations in passing down knowledge, providing support, and contributing to collective progress. Actively seek opportunities to engage with and learn from older individuals, leveraging their wisdom and experiences.
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Promote AI literacy and ethical practices: As AI models become more powerful and influential, it is crucial to educate ourselves and others about their capabilities, limitations, and potential societal impacts. Engage in discussions surrounding AI ethics, advocate for responsible AI development, and actively participate in shaping the future of these technologies.
In conclusion, the evolution of our brains has equipped us with the remarkable ability to think and plan over long timespans. However, our inclination towards immediate gratification often overshadows this capacity. By understanding the origins of our long-term thinking abilities and embracing them, we can navigate the challenges of our time more effectively. With the advancements in AI, such as GPT-4, we have an additional tool at our disposal. By combining our innate cognitive abilities with responsible AI practices, we can strive towards a future that prioritizes long-term thinking and sustainability.
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