"The Near Future of AI: Action-Driven Short Form Videos for Thought Leaders"

"The Near Future of AI: Action-Driven Short Form Videos for Thought Leaders"

In recent years, the field of artificial intelligence (AI) has made significant advancements, particularly in the realm of language models. The ReAct model, introduced by Yao et al. in 2022, takes a novel approach to AI by incorporating action-driven capabilities. This model follows a three-step process of Thought, Act, and Observation, where the AI system considers what is needed, chooses an action, and observes the outcome. By utilizing cognitive assets like search, the ReAct model can act as an agent, making choices and taking actions like a human would.

This action-driven approach holds great promise for the future of AI. While there is ongoing debate among academics about the true definition of Artificial General Intelligence (AGI), an action-driven Language Model (LLM) closely resembles the capabilities of AGI. LLMs have already shown impressive performance in question-answering tasks when prompted to "think step by step" (Kojima et al., 2022). However, these models can achieve even better results when equipped with external cognitive assets, such as fetching data from external sources. This integration of external resources bridges the resource gap and enhances the model's overall performance.

One notable example of an AI model that has achieved remarkable results is OpenAI's 002-text-davinci model. The secret to its success lies in a combination of instruction tuning and Reinforcement Learning from Human Feedback (RLHF). Through RLHF, humans rate the success of a given prompt, allowing the model to learn and improve. However, it is worth noting that the true potential of AI lies in reinforcement learning, where the system can be trained to produce better results based on specific metrics of interest.

In the realm of AI startups, a successful strategy involves creating powerful feedback loops. Startups that can identify and solve customer pain points, collect data on improving these solutions, and train their models to be more consistent are likely to thrive. This iterative process of problem-solving and model refinement is akin to building a moat in the AI landscape, at least for now. As AI agents become more domain-general, the possibilities for automation and new offerings will continue to expand.

Now, let's shift our focus to the world of short form videos and its potential for thought leaders. The rise of social media algorithms has paved the way for short form videos to become a powerful tool for content creators and curators. In fact, curating short form videos presents one of the best opportunities for thought leaders in recent years.

Contrary to popular belief, editing videos is much easier than one might think. Tools like Streamlabs allow users to edit videos with ease, similar to editing text in a word processor. This simplicity opens up new avenues for curating and sharing ideas in video format. By curating the best ideas in text format from various sources and then converting them into short form videos, thought leaders can engage their audience in a more dynamic and visually appealing manner.

The advantage of short form video lies in its ability to capture attention quickly and concisely. Social media platforms like TikTok revolutionized the way we consume content, prompting other platforms like YouTube and Instagram to follow suit. These platforms have integrated short form videos into their algorithms, giving them preferential treatment and decreasing the reach of other formats. This shift in algorithmic preference has created a limited-time opportunity for thought leaders to leverage the power of short form videos.

Clipping short form videos is akin to highlighting or clipping text on the web. By curating the best ideas and insights from experts, thought leaders can skip years of trial and error and present their audience with valuable content. This process of clipping videos is not only easier than producing original content but also allows thought leaders to take advantage of the Celebrity Effect. By featuring clips from well-known individuals, thought leaders can borrow their celebrity status and gain traction for their own ideas.

Additionally, short form videos can be used as supporting evidence for thought leaders' ideas. Each video posted by someone else serves as an experiment, and platforms like YouTube publicly reveal the results of these experiments. By leveraging the content created by others, thought leaders can strengthen their arguments and enhance their credibility.

However, bridging the taste-talent gap can be a challenge. Thought leaders may recognize the quality of their work falls short of their aspirations but lack the necessary talent to bridge that gap. This discrepancy between taste and talent can take years to overcome. Nevertheless, by consistently curating and sharing the best ideas in video format, thought leaders can refine their skills and eventually bridge that gap.

In conclusion, the near future of AI lies in action-driven models that mimic human-like decision-making processes. The integration of external cognitive assets and reinforcement learning will play a crucial role in enhancing the capabilities of AI systems. Simultaneously, the rise of short form videos presents a unique opportunity for thought leaders to curate and share valuable insights. By leveraging the power of short form videos, thought leaders can engage their audience, gain traction, and support their ideas effectively.

Actionable Advice:

1. Embrace action-driven AI models: Explore the potential of AI models that prioritize action and decision-making processes. By incorporating external cognitive assets and reinforcement learning, these models can achieve remarkable results.
2. Curate short form videos: Take advantage of the limited-time opportunity presented by short form videos. Utilize tools like Streamlabs to edit and curate the best ideas from various sources, enhancing engagement and credibility.
3. Learn in public: Adopt a mindset of learning in public and sharing valuable insights as you come across them. Consistently curate and share short form videos to refine your skills and bridge the taste-talent gap.

By combining the power of action-driven AI models and the opportunities presented by short form videos, thought leaders can pave the way for innovative and impactful content creation in the digital age.