Advice for Building in AI and Dancing With Systems

Kazuki Nakayashiki

Hatched by Kazuki Nakayashiki

Aug 14, 2023

3 min read

0

Advice for Building in AI and Dancing With Systems

Building in AI has become a popular strategy for businesses to solve customer problems that were previously unsolvable. However, it is important to remember that the same fundamental dynamics of any type of business still apply. AI technology alone is not enough to create a sustainable advantage. True power and durability come from economies of scale, network effects, counter-positioning, switching costs, and brand.

While many AI commentators focus on alignment, defensibility, and AGI (Artificial General Intelligence), builders understand the importance of execution and the small details. Excellence in any field requires hard work and attention to detail. The "big idea" is just the starting point; how that idea is executed and developed is what truly matters.

Similarly, when it comes to dancing with systems, there are several key principles to keep in mind. First, expose your mental models to the open air. By sharing your assumptions and inviting others to challenge them, you can gain valuable insights and perspectives. Embrace learning in public and collect as many explanations, hypotheses, and models as possible.

Flexibility and open-mindedness are essential when dealing with complex systems. Be willing to redraw boundaries and adapt to new modes. Good ideas can come from anyone, anywhere, and at any time. Don't be afraid to experiment and learn from trial and error.

Intrinsic responsibility is another important concept in system design. Decision-makers should receive direct and timely feedback about the consequences of their actions. If something is morally degrading, unsustainable, or humanly demeaning, it should not be allowed to pass. Values that are not spoken about or designed into systems will cease to exist.

Pay attention to triggering events and outside influences that shape the behavior of a system. Feedback loops and meta-feedback loops can help to correct and improve policies, especially in uncertain situations. Remember that the parts of a system cannot survive without the whole. The long-term health of the entire system, whether it's a body or an ecosystem, is crucial for the well-being of its individual components.

Defying disciplines and following the interconnectedness of systems is also important. No part of the human race or the global ecosystem is separate from each other. By embracing the messiness and complexity of the universe, we can appreciate its beauty and find inspiration in its dynamic nature.

Finally, it is essential not to weigh bad news more heavily than the good. While challenges and uncertainties exist, focusing on the positive aspects and opportunities can lead to better outcomes.

In conclusion, building in AI and dancing with systems require a combination of hard work, attention to detail, flexibility, open-mindedness, and a focus on values. By incorporating these principles into your approach, you can navigate the complexities of AI and systems to create meaningful and impactful solutions.

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