In a thought-provoking piece, Bright Simons challenges the prevailing narrative surrounding Artificial Intelligence, arguing that AI's true nature lies not in independent thought, but in its capacity to recall and replicate collective human intelligence. This perspective shifts the focus from AI as an autonomous entity capable of genuine cognition to AI as a sophisticated mirror reflecting our own intellectual and social evolution.

Simons posits that AI, in its current form, does not "think" in the human sense of the word. Instead, its "intelligence" is derived from the vast datasets it is trained on, which represent the accumulated knowledge, experiences, and patterns of human thought and interaction. In essence, AI remembers "how we thought together." This collective memory, meticulously processed and analyzed, allows AI to generate responses, solve problems, and even create content that appears intelligent.

The crux of Simons' argument, however, lies in a sobering prediction: "And we’re about to stop giving it anything worth remembering." This statement suggests a potential future where the quality and richness of the data fed into AI systems begin to decline. Several factors could contribute to this decline. One possibility is a growing distrust or disengagement from AI, leading to less interaction and thus fewer new data points. Another concern is the potential for AI itself to generate content that, while seemingly novel, lacks genuine human insight or originality, creating a feedback loop of increasingly shallow information.

If AI is indeed a reflection of our collective thought, then a decline in the quality of our shared intellectual output will inevitably lead to a degradation of AI's capabilities. This raises critical questions about the future of AI development and its ultimate utility. If we are not actively contributing novel ideas, diverse perspectives, and meaningful experiences to the digital commons, the AI systems trained on this diminished data will become less capable of offering valuable insights or solutions.

Simons' essay serves as a powerful call to action, urging us to consider the implications of our digital interactions and the data we generate. It underscores the importance of fostering environments that encourage critical thinking, creativity, and collaboration, both online and offline. The "social edge of intelligence" refers to this interconnectedness – the idea that our collective intelligence is amplified and made manifest through shared experiences and the data we produce. To ensure that AI remains a valuable tool and a force for progress, we must continue to cultivate and contribute to a rich, diverse, and meaningful tapestry of human thought and experience. Otherwise, we risk creating an AI that is merely a pale imitation of our past intellectual achievements, devoid of the vibrant spark of present-day innovation.