The Near Future of AI is Action-Driven: How ReAct Model and External Cognitive Assets are Shaping AGI

The Near Future of AI is Action-Driven: How ReAct Model and External Cognitive Assets are Shaping AGI

In recent years, the field of artificial intelligence (AI) has made significant advancements, and one of the most promising developments is the concept of an action-driven AI model. The ReAct model, introduced by Yao et al. in their 2022 arxiv paper, revolutionizes how AI systems operate by incorporating three crucial steps: Thought, Act, and Observation. This iterative process enables the model to think about what is needed, choose the appropriate action, and observe the outcome. By leveraging cognitive assets like search, these action-driven AI models have the potential to transform various domains.

What makes action-driven AI models particularly exciting is their resemblance to Artificial General Intelligence (AGI). While the definition of AGI may be a subject of debate among academics, an action-driven LLM (Language Model) closely aligns with the notion of AGI. It has been observed that LLMs excel at question-answering tasks when prompted to "think step by step" (Kojima et al., 2022, arxiv). However, their performance can be further enhanced by incorporating external cognitive assets.

External cognitive assets refer to the utilization of external resources by AI models to bridge the resource gap. OpenAI's 002-text-davinci model has achieved remarkable results by combining instruction tuning and Reinforcement Learning from Human Feedback (RLHF). In RLHF, humans rate the success of a given prompt, allowing the model to learn and improve continuously. But the true potential lies in actual reinforcement learning, where AI systems can be trained to produce better results based on specific metrics of interest.

As the field of AI progresses, we can expect startups to capitalize on this concept by creating powerful feedback loops. These startups will initially focus on solving a specific customer pain point, even if it means starting with a simple solution. By collecting data on how to solve the problem more effectively, they can train their models to become more consistent and iterate on their solutions. This iterative process will serve as a moat in the AI landscape, providing startups with a competitive advantage.

However, the potential of action-driven AI models goes beyond startups and moats. As these models become more domain-general, the possibilities for automation and new offerings will expand exponentially. They have the potential to redefine industries and revolutionize the way we interact with technology. The integration of external cognitive assets and the ability to choose actions like an agent will unlock new frontiers for AI applications.

In the pursuit of excellence and personal growth, it is crucial to adopt a mindset of self-competition. External competition can often have a detrimental impact on our performance, as it forces us to conform to predefined standards set by others. Instead, we should focus on competing with our past selves, continuously striving to surpass our previous accomplishments. By setting ambitious and exciting goals, we can create our own game and define our own performance indicators.

When we compete with our future selves, we acknowledge that our potential is limitless. Our future self will always be one step ahead, constantly evolving and improving. By embracing this mindset, we shift our focus from comparing ourselves to others to moving forward in a direction that is uniquely ours to shape. Our future self becomes the hero we look up to and aspire to become.

To fully embrace the concept of self-competition, here are three actionable pieces of advice:

1. Set Ambitious Goals: Challenge yourself by setting ambitious and exciting goals that push your boundaries. Aim to surpass your past achievements and continuously strive for personal growth.

2. Embrace Continuous Learning: Never stop learning and acquiring new skills. Invest in your personal and professional development to stay ahead of the curve and become the best version of yourself.

3. Celebrate Progress: Recognize and celebrate your progress along the way. Acknowledge the small victories and milestones, as they contribute to your overall growth and success.

In conclusion, the near future of AI is undoubtedly action-driven. The ReAct model and the integration of external cognitive assets are reshaping the landscape of AI and bringing us closer to the concept of AGI. As startups leverage powerful feedback loops and AI becomes more domain-general, the automation and offerings made possible by action-driven models will revolutionize industries. Simultaneously, adopting a mindset of self-competition will enable individuals to unlock their true potential and transcend external constraints. By competing with our past selves and embracing personal growth, we can become the heroes of our own journeys.