AI and Self-Education: Unleashing the Power of Learning and Innovation


Hatched by Glasp

Aug 19, 2023

4 min read


AI and Self-Education: Unleashing the Power of Learning and Innovation


The advancement of AI technology has revolutionized various industries, bringing about significant improvements in product performance. These sustaining technologies have the common goal of enhancing the dimensions of performance valued by mainstream customers. However, disruptive innovations also play a crucial role in driving progress, often introduced by new entrants in the market. In this article, we will explore the intersection of AI and the big five technological advancements, while also delving into the concept of self-education and the sandbox method for effective learning.

AI in Sustaining Technologies:

Sustaining technologies, whether incremental or radical, aim to improve the performance of existing products. The Internet, for instance, opened up entirely new markets and disrupted industries, particularly in the realm of information. Cloud computing, though part of the Internet, stands as its own category due to its disruptive nature. Established companies like Amazon, Microsoft, and Google, which had already experienced success in previous epochs, built the core infrastructure for cloud computing. Their transition to cloud services further solidified their positions in the market.

Disruptive Innovations and Startups:

While disruptive innovations often come from new entrants in a market, they are not necessarily limited to startups. Microsoft's struggle in the mobile industry exemplifies the challenges posed by disruptive technologies. On the other hand, software-as-a-service (SaaS) proved to be a sustaining innovation for Microsoft, as it aligned with their existing business model. Smart companies aim to commoditize their products' complements, driving demand and increasing profitability.

AI and Apple's Proprietary Approach:

Apple's foray into AI has primarily been proprietary, utilizing traditional machine learning models for recommendations, photo identification, and voice recognition. However, Apple benefitted from the open-source world with Stable Diffusion, a small yet powerful model that can be deployed on-device. This integration into Apple's operating systems opens up possibilities for "good enough" image generation capabilities, providing developers with accessible APIs and reducing the need for back-end infrastructure.

AI and Advertising:

In the realm of advertising, AI has the potential to revolutionize targeting and recommendation systems. Meta (formerly Facebook) faces challenges in the wake of Apple's App Tracking Transparency (ATT) policies, but investing in probabilistic models can help them better understand user preferences and optimize ad conversion. Meta's massive investment in AI gives them a competitive advantage that smaller companies cannot replicate.

AI and Google's Business Model:

Google's AI leadership is evident in its search algorithms and consumer-facing products. However, its business model heavily relies on ads, and the introduction of AI-powered assistants poses challenges in terms of ad placement. The company must navigate the balance between providing relevant information and generating revenue through advertisements. As search reaches its peak, Google must explore new avenues for growth.

AI and Self-Education:

The sandbox method, based on scientific research on learning and information processing, offers a powerful approach to self-education. Building a suitable environment to practice and experiment is the first step. Low-cost or free resources enable individuals to start their learning journey without delay. Sharing work in its early stages allows for feedback and growth, fostering comfort with imperfection and the development of creative projects.

Research, Implementation, and Feedback:

To expand the boundaries of knowledge and skill, research becomes crucial. Books, being well-vetted and edited, serve as a reliable resource for foundational understanding. Implementing and practicing the acquired knowledge is a vital step, but it must go beyond naive practice. Challenging oneself and seeking honest feedback are key to effective learning and improvement.


AI's impact on various industries, including advertising and self-education, cannot be overstated. While sustaining technologies enhance product performance, disruptive innovations and the sandbox method for self-education open doors to new possibilities. As AI continues to evolve, companies must adapt their business models, embrace innovation, and invest in the infrastructure required to stay ahead. To harness the full potential of AI, continuous learning and exploration are essential.

Actionable Advice:

  • 1. Embrace disruptive innovations: Identify the potential disruptive technologies in your industry and explore how they can benefit your business. Disruptive innovations often create new opportunities for growth.
  • 2. Foster a culture of self-education: Encourage your team members to adopt the sandbox method for learning and experimentation. Provide resources and support to facilitate continuous learning and improvement.
  • 3. Adapt your business model: Stay ahead of the curve by assessing your current business model and identifying areas that can be commoditized or disrupted. Embrace AI and other emerging technologies to maintain a competitive edge.

By combining the power of AI and self-education, businesses and individuals can unlock new levels of innovation and growth. Embracing disruptive technologies and fostering a culture of continuous learning will be crucial in navigating the ever-evolving landscape of the future.

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