The Day The AGI Was Born: Goal-Setting and Systems of Desire

The Day The AGI Was Born: Goal-Setting and Systems of Desire

In the world of artificial intelligence, a significant development has taken place. A model known as the "GPT-3.5 series" has emerged, showcasing impressive capabilities in zero-shot generation of text based on specific instructions. This new model, as an InstructGPT sibling, surpasses its predecessor, GPT3, in various aspects. With a long-term memory of up to 8192 tokens and the ability to produce output twice as long as GPT3, it is a promising advancement in AI technology. However, it still has its limitations. It falls short in mathematical calculations, generates false information about the real world, and writes poor code. It does not pass Turing, SAT, or IQ tests. Despite these shortcomings, there are valuable use cases where creativity holds more value than precision. For tasks such as brainstorming, drafting, and presenting information in creative ways, this model can truly shine.

The emergence of this new AI model sparks a debate regarding the potential replacement of Google-like experiences with ChatGPT. On one hand, ChatGPT provides direct and easily understandable answers to questions, surpassing the often convoluted results page of a Google search. However, it is crucial to note that these answers are frequently incorrect and lack proper sources. While there is still uncertainty surrounding the extent to which ChatGPT can replace Google, it is an undeniable step forward in the trajectory towards achieving artificial general intelligence (AGI).

The birth of this advanced AI model highlights the remarkable progress made in the field of reinforcement learning through human feedback. The pace at which advancements have been made is astounding, even to those deeply involved in the field. This accelerated development has brought us closer to the realization of AGI, a concept that was once seen as distant and unattainable.

While the advancements in AI technology are undoubtedly impressive, it is crucial to consider the broader implications of our increasing reliance on systems of desire. In a thought-provoking article titled "Goal-Setting Doesn't Work. Here's What Does," the author challenges the conventional wisdom surrounding goal setting. The obsession with setting and achieving goals often leads to self-flagellation and a lack of true fulfillment. The author argues that the focus should shift from how to set goals to how to choose them in the first place.

Goals, as the author suggests, are embedded within larger systems of desire. Every goal is influenced by the desires of others and the systems in which we exist. Mimetic desire, the phenomenon of wanting what others want because they want it, underlies many of our visible goals. We unconsciously imitate the desires of those around us or those who came before us, shaping our own desires in the process.

The education system serves as an example of a mimetic system of desire. Students often lose sight of the true purpose of education, driven instead by societal expectations and the desire to conform. Similarly, the world of entrepreneurship is heavily influenced by the desires of venture capitalists, who prioritize quick returns on investments. Social media platforms thrive on mimesis, perpetuating desires based on what others desire.

To free ourselves from the limitations imposed by these systems of desire, we must first recognize and understand them. Stepping back and creating distance allows us to gain a clearer perspective on the systems that shape our desires. Radical honesty about the systems of desire is necessary to address the pressing problems we face as a society.

In this context, the power of conformity becomes evident. We tend to want what others want because it provides a sense of comfort and validation. However, true progress lies in daring to look in different directions and exploring emergent possibilities. By understanding the systems of desire that influence those around us, we open ourselves up to new and innovative ideas.

So, what actionable advice can we derive from this discussion? Here are three suggestions to consider:

1. Reflect on your goals: Instead of blindly pursuing goals dictated by societal expectations or mimetic desires, take the time to reflect on what truly matters to you. Consider the systems of desire that influence your choices and determine if they align with your values and aspirations.

2. Embrace creativity: Recognize the value of creativity in problem-solving and idea generation. As AI models like the GPT-3.5 series demonstrate, creativity is a powerful tool in various domains. Incorporate creative thinking into your approach to goal-setting and problem-solving.

3. Seek diverse perspectives: Challenge the echo chambers created by mimetic desires by actively seeking out diverse perspectives. Engage in conversations with people from different backgrounds and ideologies to broaden your understanding of the world and explore new possibilities.

In conclusion, the birth of the AGI-like model and the exploration of systems of desire in goal-setting shed light on the exciting developments in AI technology and the complexities of human desires. While AI models continue to advance, it is essential to approach goal-setting with a critical mindset and consider the broader systems that shape our desires. By understanding these systems and embracing creativity, we can navigate the ever-changing landscape of goals and aspirations with intention and fulfillment.