"The Limitations of Computing: From Economic Value to Artificial Intelligence"

Aviral Vaid

Hatched by Aviral Vaid

Apr 22, 2024

4 min read

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"The Limitations of Computing: From Economic Value to Artificial Intelligence"

Introduction:

In today's world, the concept of economic value seems straightforward. It is determined by the intersection of supply and demand, where the worth of something is based on how much it is desired and how scarce it is. However, when we delve deeper into the complexities of human perception and decision-making, we realize that not everything can be easily computed. This article explores the intriguing aspects of economic value and the limitations of computing in various domains, from investment prices to artificial intelligence.

The Subjectivity of Economic Value:

The idea that economic value is solely based on rationality and objective measurements is an oversimplification. In reality, value is subjective, and it varies from person to person. What one individual considers valuable may hold no significance to another. This subjectivity is what drives innovation and advancement in society. People with diverse perspectives and ways of thinking contribute to the development of new ideas and solutions. If everyone had the same goals, ambitions, and risk tolerances, then everything could be easily computed. However, the beauty of human existence lies in the diversity of minds and perspectives.

The Power of Storytelling:

In the realm of investments and market valuations, numbers are just one part of the equation. The other crucial component is the narrative or story about the future. Investors often base their decisions on the potential growth and success of a company, rather than solely relying on present-day figures. A compelling story can sometimes overshadow rational analysis, leading to the success or failure of an investment. It is essential to understand that great ideas explained poorly may go unnoticed, while old or incorrect ideas presented convincingly can spark a revolution. This highlights the significant role that storytelling plays in the world of finance and decision-making.

The Limitations of Artificial Intelligence:

Artificial Intelligence (AI) has rapidly advanced in recent years, with language models like LLMs (Large Language Models) gaining significant attention. These models can provide answers to factual questions by processing vast amounts of data. However, when it comes to complex reasoning or specialized knowledge, LLMs may provide misleading or inaccurate answers. The overconfidence of these AI models can lead to hallucinated responses, lacking the nuance and context required for accurate information. This limitation calls for alternative approaches to harness the power of AI effectively.

Retrieval Augmented Generation:

One promising approach that addresses the limitations of current AI systems is retrieval augmented generation. Rather than relying solely on a fixed LLM for answers, this technique involves utilizing relevant documents as input. By combining the query with these documents, an LLM can generate a more informed and accurate response. This approach has the potential to revolutionize web search by providing summarized answers that are based on a combination of human-generated content and AI processing. Implementing this technique at scale would require complex infrastructure, but the benefits could be substantial.

Actionable Advice:

  • 1. Embrace diversity of thought: Recognize that different perspectives and ways of thinking bring value to any endeavor. Encourage collaboration and open-mindedness to foster innovation and growth in both personal and professional settings.
  • 2. Understand the power of storytelling: When presenting ideas or seeking investment opportunities, pay attention to how you communicate your message. Craft a compelling narrative that captures the imagination and resonates with your audience, as this can greatly influence the success of your endeavors.
  • 3. Explore alternative AI approaches: If you are working with AI technologies, consider the limitations of current models and explore retrieval augmented generation techniques. By combining relevant documents with AI processing, you can enhance the accuracy and reliability of AI-generated answers.

Conclusion:

While some things may not compute easily, it is important to acknowledge the subjectivity and diversity that shape our world. Economic value, storytelling, and artificial intelligence all have their limitations, but by understanding and embracing these limitations, we can navigate these realms more effectively. By fostering collaboration, honing our communication skills, and exploring alternative AI approaches, we can unlock new possibilities and overcome the barriers that computation alone cannot address.

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