The Birth of AGI and the Monetization of the Curation Economy

The Birth of AGI and the Monetization of the Curation Economy

In recent years, we have witnessed significant developments in the fields of artificial intelligence (AI) and social networking platforms. These advancements have paved the way for the birth of AGI (Artificial General Intelligence) and the monetization of the curation economy. While these may seem like separate topics, there are intriguing commonalities that connect them and provide unique insights into the future of technology and online communities.

The Day The AGI Was Born

One notable development in the field of AI is the emergence of the GPT-3.5 series model, a fine-tuned and highly capable sibling of InstructGPT. This model boasts impressive capabilities in zero-shot generation of text that follows specific instructions. With a long-term memory capacity of up to 8192 tokens, it can generate output that is twice as long as its predecessor, GPT3. However, it is important to note that this model still has its limitations. It cannot perform mathematical calculations, often generates false information about the real world, and is incapable of passing Turing, SAT, or IQ tests.

Despite these limitations, the GPT-3.5 series model has found its niche in creative tasks such as brainstorming, drafting, and presenting information in innovative ways. Its strength lies in its ability to prioritize creativity over precision. While accuracy may not be its forte, when combined with external assets, it has the potential to compensate for this drawback.

The debate surrounding the GPT-3.5 series model revolves around its capacity to replace Google as a reliable source of information. On one hand, it excels in providing direct and legible answers to questions, surpassing the traditional Google results page. On the other hand, its answers are often incorrect and lack proper sourcing. This debate raises intriguing questions about the future of AI and its role in shaping our access to information.

How to Monetize the Curation Economy, Social Communities & Online Learning

In parallel to the development of AGI, the curation economy has gained significant traction. The rise of niche social products has revolutionized the way users connect with specific interests, audiences, or use cases. These new social networking platforms prioritize community-first approaches, invite-only access, curated discovery, shared activities, and unique social experiences.

One of the key aspects of the curation economy is the increasing trend of outsourcing the task of deciding what to read, listen to, watch, and learn. This shift has created a demand for curators who can effectively curate resources and help others navigate the vast sea of information. In this context, curators have become the new creators, providing value by curating content and making money in the process.

Connecting the Dots

Although the birth of AGI and the monetization of the curation economy may seem like unrelated phenomena, there are intriguing connections that can be drawn between them. Both highlight the importance of creativity and innovation in shaping the future of technology and online communities.

The GPT-3.5 series model, with its emphasis on creative tasks, aligns with the notion that creativity is more valued than precision. This resonates with the idea that curators are the new creators in the curation economy. By combining external assets and leveraging curated content, the limitations of the GPT-3.5 series model in accuracy can be compensated.

Actionable Advice:

• 1. Embrace the power of creativity: In a world where creativity is increasingly valued, harnessing your creative potential can open doors to new opportunities. Whether it's through brainstorming, drafting, or presenting information in innovative ways, prioritize creativity in your endeavors.

• 2. Become a curator: As the demand for curated content continues to rise, consider becoming a curator yourself. Help others navigate the overwhelming amount of information available and provide value by curating resources that align with specific interests or use cases.

• 3. Combine external assets: If you find yourself using the GPT-3.5 series model or similar AI technologies, leverage external assets to compensate for any limitations in accuracy. By combining curated content and external resources, you can enhance the overall quality of output and provide more reliable information.

In conclusion, the birth of AGI and the monetization of the curation economy offer intriguing insights into the future of technology and online communities. As we continue to explore the potential of AI and the power of curation, embracing creativity, becoming curators ourselves, and combining external assets can help us navigate this evolving landscape and unlock new opportunities.