"Generative AI applications: an investing framework" - Why the Color of Technology Must Change

"Generative AI applications: an investing framework" - Why the Color of Technology Must Change

In the world of technology and investing, one common thread that emerges is the need to solve hard, economically valuable problems at a scale that goes beyond human capabilities. This is where generative AI applications come into play. These applications, which are differentiated by their proprietary models and/or datasets, have the potential to revolutionize various industries.

However, one of the biggest challenges faced by emerging AI applications is the lack of defensibility. In other words, what sets these products apart from the rest? A crucial aspect to consider is whether the product is just a "thin layer" on top of a general-purpose language model (LLM) or if it requires substantial domain-specific training or fine-tuning. The latter scenario indicates a higher barrier to entry for potential competitors.

Another important factor to consider is the availability and access to unique datasets. If a compelling product relies on a specific dataset, it is essential for the team behind it to have the necessary access. This can serve as a competitive advantage and contribute to the defensibility of the application.

While discussing the future of technology, it is important to address a seemingly unrelated topic - the color of technology interfaces. Have you ever wondered why military interfaces predominantly use orange and red colors? The reason behind this choice is that these low-impact colors are ideal for nighttime shifts. Bright blue light, on the other hand, is more likely to cause visual artifacts, especially in darkened environments.

The impact of color goes beyond military interfaces and extends to our daily lives. Consider the displays in our cars or on our phones. Switching back and forth between looking at these screens and the road ahead can be blinding. The bright block of high-energy light emitted by these screens creates a longer and stronger afterimage that can adversely affect our vision when we refocus on our surroundings.

So, what does this mean for the future of technology? It signifies the need for a change in the color of technology interfaces. By incorporating colors that are less harsh on our eyes, we can enhance the user experience and reduce potential visual disturbances. This shift can have a significant impact on various industries, from automotive to healthcare.

In conclusion, generative AI applications offer a promising investment opportunity, provided they address key factors such as defensibility and access to unique datasets. Additionally, as technology continues to evolve, it is crucial to consider the impact of colors on user experience. By utilizing colors that are less straining on our eyes, we can create interfaces that are both visually appealing and user-friendly.

To leverage the potential of generative AI applications and improve technology interfaces, here are three actionable pieces of advice:

1. Conduct thorough due diligence on generative AI applications before investing. Evaluate the defensibility of the product, including the level of domain-specific training or fine-tuning required.

2. Encourage research and development in the field of color psychology and its application in technology interfaces. By understanding how different colors affect our vision and perception, we can create interfaces that prioritize user well-being.

3. Collaborate with industry experts and designers to implement color changes in technology interfaces. By working together, we can ensure that the transition to more eye-friendly colors is seamless and effective.

Incorporating these actions into investment strategies and technological advancements will pave the way for a future where generative AI applications thrive and where technology interfaces prioritize user comfort and well-being.