Part 2/8:
Processing: Analyzing and interpreting the input to produce an output.
Feedback: Gleaning insights from the output to refine inputs.
Improvement: An iterative process that raises the quality of knowledge work over time.
Most professionals are currently engaging with AI tools like ChatGPT to offload their thinking processes, often yielding outputs that are well below expectations. This disappointment stems primarily from the average quality of the input fed into these large language models (LLMs). The internet is a mixed bag; while it contains nuggets of gold, it is predominantly filled with mediocre information. To address this, our focus must shift towards enhancing the quality of our inputs, ensuring that we provide AI with richer resources to yield better outcomes.