>I am troubled by people using an LLM at all to write academic research papers.
I'm an outsider to the academic system. I have cool projects that I feel push some niche application to SOTA in my tiny little domain, which is publishable based on many of the papers I've read.
If I can build a system that does a thing, I can benchmark and prove it's better than previous papers, my main blocker is getting all my work and information into the "Arxiv PDF" format and tone. Seems like a good use of LLMs to me.
>The Index measures where AI systems overlap with the skills used in each occupation. A score reflects the share of wage value linked to skills where current AI systems show technical capability. For example, a score of 12% means AI overlaps with skills representing 12% of that occupation’s wage value, not 12% of jobs. This reflects skill overlap, not job displacement.
>The Index reports technical skill overlap with AI. It does not estimate job loss, workforce reductions, adoption timelines or net employment effects.
>A force-directed graph is a technique for visualizing networks where nodes are treated like physical objects with forces acting between them to create a stable arrangement. Attractive forces (like springs) pull connected nodes together, while repulsive forces (like electric charges) push all nodes apart, resulting in a layout where connected nodes are closer and unconnected nodes are more separated
I think it would be better and faster if the website calculated the positions of the nodes in the background (with a good enough limit of iterations), and then showed the result. Animating 4k nodes and 25k edges (15k by default) is a waste of CPU and is laggy even on my high-end CPU. But maybe the author was limited by the tools used.
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