How to Resist Losing a Bit of "Me" in the Era of LLMs

"It has certainly changed the way neuroscience research is done; the high computing power is helping gene discovery, neuro-imaging analysis, or drug development. And now, it is inserting its tentacles into my clinic. When I prescribe a medication, drug-drug interactions can be checked instantly. With thousands of drugs and infinite number of combinations, it is impossible to memorize them all."

"This "smoothen" is the key to LLM edits. If my writing has peaks of originality, and valleys of mistakes, it tries to eliminate both. Removing the mistakes is welcome, but originality and mistakes are two sides of the same coin; it is something inherently unique and individual, originating from me. In other words, LLM removes a bit of "me". This is not a bad thing; communication is reciprocal, and we need to be understood."

AI enables advances in neuroscience research, aiding gene discovery, neuro-imaging analysis, and drug development through high computing power. AI is increasingly integrated into clinical workflows, enabling instant drug–drug interaction checks and reducing charting time via LLM summaries. LLM edits smooth tone and eliminate both mistakes and peaks of originality, which increases clarity and standardization in professional settings while diminishing individual voice. Both the brain and AI function as algorithmic prediction machines that rely on shortcuts. Heavy reliance on AI can speed tasks but may reduce learning and cognitive engagement, raising the question: am I enhancing or avoiding cognition?

Read at Psychology Today