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The specific danger to life posed by these scenarios is unusual, but they offer vivid illustrations of the structural weaknesses of these models. Jathan Sadowski, a senior research fellow in the Emerging Technologies Research Lab at Monash University, was another academic entertained by tl;dr papers’ summary of his research. He says AI systems like this should be handled with care, but they can serve a purpose in the right context.
“Maybe one day [this technology will] be so sophisticated that it can be this automated research assistant who is going and providing you a perfect, accurate, high quality annotated bibliography of academic literature while you sleep. But we are extremely far from that point right now,” Sadowski told. “The real, immediate usefulness from the tool is — first and foremost — as a novelty and joke. But more practically, I could see it as a creativity catalyst.
“I could see it as a creativity catalyst. Something that provides you this alien perspective on your work.” Sadowski says the summaries provided by tl;dr papers often have a sort of “accidental wisdom” to them — a byproduct, perhaps, of machine learning’s inability to fully understand language. In other scenarios, artists have used these AI tools to write
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