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If I asked you to predict the next word in a given sentence — say, “My trip to the beach was cut short by bad __” — your answer would draw upon on a range of knowledge.You’d consider the grammar of the sentence and its tone but also your general understanding of the world.The prowess of GPT-2, say Open AI, suggests there could be methods available to researchers right now that can mimic more generalized brainpower.
So while a system like Predictive Text only knows that the word “sunny” is used to describe the weather, newer algorithms know when “sunny” is referring to someone’s character or mood, when “Sunny” is a person, or when “Sunny” means the 1976 smash hit by Boney M.
In a world where information warfare is increasingly prevalent and where nations deploy bots on social media in attempts to sway elections and sow discord, the idea of AI programs that spout unceasing but cogent nonsense is unsettling.
For that reason, Open AI is treading cautiously with the unveiling of GPT-2.
The success of these newer, deeper language models has caused a stir in the AI community.
Researcher Sebastian Ruder compares their success to advances made in computer vision in the early 2010s.