This text discusses the potential of AI, specifically LLMs and GPT-4, in democratizing innovation and expanding access to useful innovations. The author highlights the use of prompts as a “program in prose” that can be tailored to various industries and fields, allowing non-technical experts to accomplish impressive tasks. The text presents four levels of prompt development: using pre-made prompts, customizing or building prompts, creating prompts that make prompts, and eventually just telling the AI what you want. The author emphasizes the importance of sharing prompt-based innovations and promoting ethical experimentation. The application of AI in education is specifically discussed, with examples of how GPT-4 can assist teachers in creating learning materials and facilitating student engagement. The text concludes by emphasizing the need for cooperation and knowledge sharing to ensure positive and inclusive AI-driven innovation.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| Democratizing innovation with AI prompts | From limited access to widespread access of AI innovation | AI prompts enable non-technical experts to produce and share useful innovations | Lower cost and easier accessibility of AI models and tools like LLMs |
| Use of pre-made prompts | Starting point for innovation | Educators can utilize pre-made prompts to explore AI capabilities | Sharing of prompt ideas and lesson plans |
| Customize or build a prompt | Tailoring prompts to specific needs | Educators can create and adapt prompts to fit their goals | Trial and error to optimize the effectiveness of prompts |
| Create tools that make tools | Enable others to create prompts | Develop tooling to make prompts and share prompt crafting skills | Building communities of practice and sharing prompt blueprints |
| AI prompt autonomy | AI prompts capable of solving problems without explicit instructions | AI prompts can be given complex goals and generate desired results | Continued advancement and fine-tuning of AI models and algorithms |
| Shifting education tech control to educators | Empowering educators with technology | Educators gain control and resources to create personalized prompts | Increased collaboration and sharing among educators |
| Cooperation in AI innovation | Collaborative sharing of AI innovations | Robust communities of educators sharing their creations and experiences with AI | Policymakers and institutional leaders promoting collaboration and knowledge sharing |