Jour 9
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The Turing test was originally formulated as an operational answer to the question, “Can a machine think?”. Turing provided this operational test because there is no precise, scientific definition of what it means to think. But, as can be seen from the large volumes of writing on the subject since his initial essay, Turing’s operational test never fully satisfied all scientists and philosophers. Moreover, in the age of large language models, there is even disagreement as to whether current mo...
Languages change constantly over time, influenced by social, technological, cultural, and political factors that alter our understanding of texts. New NLP/ML models can detect words that have changed their meaning. They help not only to understand old texts, but meaning changes across disciplines, the linguistic and social causes behind historical language change, changing views in political science and psychology, and changing styles in poetry and scientific writing. I will provide an overvi...
The field of AI is advancing at unprecedented speed due to the rise of foundation models – large-scale, self-supervised pre-trained models whose impressive capabilities greatly increase with scaling the amount of training data, model size and computational power. Empirical neural scaling laws aim to predict scaling behaviors of foundation models, thus serving as an “investment tool” towards choosing the best-scaling methods with increased compution, likely to stand the test of time and ...