,1,The Cloverfield Paradox - Magnetized Deathtrap: Mundy (Chris O'Dowd) has a mishap with the magnetic tape.
WATCH ON NETFLIX: https://www.netflix.com/title/80134431
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FILM DESCRIPTION:
A crew aboard a space station finds itself alone after a scientific experiment causes the Earth to disappear. When a space shuttle appears, the space station's crew must determine if it is carrying friends or foes.
CREDITS:
Courtesy of Netflix (2018)
Cast: Chris O'Dowd, Daniel Brühl, David Oyelowo, Elizabeth Debicki, Gugu Mbatha-Raw, John Ortiz
Producer: J.J. Abrams
Director: Julius Onah
Screenwriter: Oren Uziel
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,1,Republican Rep. Jim Jordan is vowing to press on with his bid to become the next speaker of the House after a plan he supported to temporarily empower the interim speaker was met with opposition from his fellow GOP lawmakers on Thursday. CBS News congressional correspondent Nikole Killion has the latest.
#news #politics #congress
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,1,A look at OpenAI's new GPT-2 model and the surrounding controversy.
https://blog.openai.com/better-language-models/
Abstract:
Natural language processing tasks, such as question answering, machine translation, reading comprehension, and summarization, are typically approached with supervised learning on taskspecific datasets. We demonstrate that language models begin to learn these tasks without any explicit supervision when trained on a new dataset of millions of webpages called WebText. When conditioned on a document plus questions, the answers generated by the language model reach 55 F1 on the CoQA dataset - matching or exceeding the performance of 3 out of 4 baseline systems without using the 127,000+ training examples. The capacity of the language model is essential to the success of zero-shot task transfer and increasing it improves performance in a log-linear fashion across tasks. Our largest model, GPT-2, is a 1.5B parameter Transformer that achieves state of the art results on 7 out of 8 tested language modeling datasets in a zero-shot setting but still underfits WebText. Samples from the model reflect these improvements and contain coherent paragraphs of text. These findings suggest a promising path towards building language processing systems which learn to perform tasks from their naturally occurring demonstrations.
Authors:
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever
