As a scientist and researcher, I constantly find myself in a state of awe and helplessness due to the vast ocean of information and knowledge that surrounds me. Today's world is evolving at breakneck speed, and I often feel like I'm struggling to stay afloat. This is particularly the case in science, engineering, and technology. It's a mixture of excitement, fear, and a deep-rooted curiosity that drives me forward as a continuous learner, but at times, the weight of information overload can be overwhelming. It seems so easy to fall behind if you don't invest every ounce of effort you have to be knowledgeable.
It is true that navigating this ever-changing landscape is both exhilarating and exhausting. Furthermore, as I delve into the realm of ML/AI tools like LLM and generative AI, I'm amazed by the potential they offer in helping researchers like myself manage and digest the wealth of information available. I do believe these tools will change the pace and ease of research. However, as these technologies continue to advance, I can't help but feel a sense of inadequacy in keeping up with the myriad of developments and research papers published daily.
Despite the challenges, my passion for learning remains undiminished. The thrill of discovering something new or understanding a complex concept continues to propel me on my journey as a self-proclaimed student of Dirac. I wonder how Ph.D. students, post-docs, and early career researchers feel? Do they share these sentiments, as we collectively traverse an era characterized by rapid change and uncharted territory? What about more senior scientists and engineers? What do they think, is it all hype? Have they seen this before? Then there are the powerhouse PIs/researchers who dominate in output and productivity. These individuals and groups are amazing, but how do they feel about this? Also, do they have any suggestions for the underdogs (i.e., me) and how do they suggest we swim in the sea of information they produce?
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