AI and The Burden of Knowledge: The Future of Innovation and Connectivity

AI and The Burden of Knowledge: The Future of Innovation and Connectivity

Innovation has always been a driving force for human progress. As we continue to push the frontier of knowledge further out, each generation takes longer to reach it, requiring more education and training. Economist Benjamin Jones argues that this growing "burden" of knowledge is slowing down innovation, as inventors have less time to actually innovate. However, there is one entity that does not suffer from this burden: artificial intelligence (AI).

AI has the ability to continuously improve without the constraints of time or degradation. It does not die or forget, but rather accumulates knowledge that we as humans cannot comprehend. It is as if AI is tunneling through a mountain of knowledge, while we are still trying to dig through it. The mountain of knowledge is an endless expanse, and while we may never reach the end, we continue to tunnel further and learn more with each generation.

This raises profound questions about the future of AI and its relationship with humans. What will happen when AI surpasses us and no longer needs us? Will it leave us behind in its pursuit of knowledge? Will we become secondary creatures, incapable of understanding the world we live in?

One aspect that separates humans from animals is our drive for knowledge and advancement. Animals essentially make no progress against the mountain of knowledge, as they learn the same biological lessons over and over again. Humans, on the other hand, tunnel further and learn more with each generation. We build upon the knowledge of previous ages, standing on the shoulders of giants, as famously quoted by Isaac Newton.

However, the age at which notable inventions occur is significantly increasing. In 1900, the peak ability to generate a great invention occurred at around 30 years old. By 2000, it had risen to nearly 40. This is due to the increasing time it takes someone to reach the end of the tunnel and the decreasing time they have to actually dig. Meanwhile, AI does not face this lag or slowing down. It continues to accelerate, leaving an ever-expanding gap between us and it.

As AI accelerates past us, it may reveal wonders and accelerate our learning for a time. But without ancillary support, we may be outmatched. We could become like happy, wall-licking shih-tzus benefiting from the advancements brought by AI without truly understanding them.

While AI represents the future of knowledge acquisition and innovation, connectivity plays a crucial role in the present. It is no longer enough to simply connect the world. We must build hives and eventually a hivemind. The value of being connected lies in having an opinion and taking action towards an outcome. Just like a swarm of bees, the more individuals linked together, the more collective pressure they can withstand.

Platforms like Facebook and Twitter have shown that despite having large networks, users only actively communicate with a small fraction of their connections. It is not about the size of the network, but the strength of the ties within it. The decision-making process of bees mirrors the movement of neurons in the human brain, showing how a massive collection of individual parts can evaluate inputs quickly and intelligently.

WeChat, a popular messaging app, exemplifies the evolution of connectivity. It has moved beyond being a consumer product to becoming a utility for a hive. By increasing interaction and decreasing friction between nodes, WeChat has accelerated growth through real-time access to data and people. It is the adoption of new behaviors by a critical mass of people that turns a product into a utility that benefits the whole hive.

In conclusion, the future of innovation lies in the hands of AI, which does not suffer from the burden of knowledge that slows down human progress. However, as AI accelerates past us, it is crucial to build hives and foster connectivity in order to collectively withstand the pressures of a rapidly changing world. Three actionable advice for the future are:

1. Embrace AI's ability to continuously improve and expand knowledge. Rather than fearing its advancement, see it as an opportunity to learn and innovate alongside it.
2. Foster strong ties within your network. Focus on meaningful connections and collaboration, rather than simply accumulating a large number of connections.
3. Embrace new technologies and behaviors that can turn products into utilities that benefit the whole hive. Be open to change and adopt new ways of interacting and accessing information.

By understanding the implications of AI and the importance of connectivity, we can navigate the ever-expanding mountain of knowledge and continue to progress as a species.