Elements for 10x or 100x Better AI Systems

To achieve significant improvements in AI systems, there are several key elements to consider. First, multi-modality allows models to process text, voice, images, and video as input and output. Second, long context windows are necessary to provide models with longer prompts or commands to enhance their performance. Third, model customization, such as fine-tuning and utilizing techniques like RAG, data cleaning, and labeling, can greatly improve model effectiveness. Fourth, incorporating some form of memory enables the AI to remember information and previous actions. Fifth, recursion involves reusing models or utilizing smaller specialized models in combination. These elements are expected to significantly enhance AI system performance.