Not all new technologies are transformative and replace old methods. Some create forks, splitting the way things are done.
Advancements like bicycles and mass production did not completely replace old methods but created a divergence in how tasks are carried out.
Technological impact is often assessed based on efficiency, but factors like human nature and preferences can influence the adoption of new technologies.
Quantum computers and Large Language Models (LLMs) are examples of emerging technologies that may lead to forks instead of complete replacements.
Quantum computers, while promising in certain tasks like encryption, may not be suitable for all computing needs due to their 'overkill' parallel nature.
LLMs, despite their transformative potential in content creation, may not excel in answering complex, data-driven questions due to the structured nature of human knowledge.
Understanding the concept of forks in technology helps us manage expectations and leverage existing methods along with new innovations for better outcomes.
Rather than expecting every new technology to revolutionize everything, it's crucial to recognize the instances where forks are created instead of complete transformations.
By integrating new technologies with existing practices, we can achieve more effective and balanced outcomes in various fields.