Knowledge is shifting. The methods of creation, dissemination, and consumption of information are transforming rapidly. The old ways are dying (or already dead). New AI tools released weekly (like Perplexity Pages and Google’s NotebookLM) illustrate the direction we're heading.
What is this direction? And should we turn back?
Creation
The process of gathering data has fundamentally changed. Researchers have access to an unprecedented volume of information. AI tools can parse through this vast amount of data, identifying relevant pieces and synthesizing them into coherent narratives. This ability to process large datasets quickly and accurately will transform fields that rely on extensive data analysis.
Imagine a researcher investigating climate change. Instead of manually reviewing hundreds of documents, they use an AI tool to compile and summarize the data. This method accelerates the research process, enabling quicker insights and more comprehensive studies. The impact on academic and scientific research is profound.
The role of the researcher is shifting from data collector to data interpreter. With AI handling the grunt work of data collection and initial analysis, researchers can focus on drawing insights and making connections that were previously impossible. This shift allows for more creative and innovative approaches to problem-solving.
Dissemination
Traditional publishing is slow and limited. AI tools enable immediate sharing of information. The newly announced Perplexity Pages allows creators to transform research into visually appealing content quickly. The process of sharing knowledge is becoming even more streamlined and efficient than what the dawn of the internet enabled.
For example, an educator creates a study guide using an AI tool. They compile information, add visuals, and publish it within hours. This rapid dissemination of knowledge enhances learning and ensures information reaches a wider audience faster. Traditional publishing would involve lengthy peer-review processes and publication delays. While this system ensures the quality of information, it often slows down the dissemination of new knowledge. AI tools are changing this dynamic by enabling faster, yet still rigorous, review and publication processes.