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Reproducing SOTA Commonsense Reasoning Result in with a OpenAI’s Pretrained Transformer Language Model

7 minute read


I wanted to write this blog post to share a bit of interesting code I’ve been working on recently. Earlier this year, OpenAI achieved SOTA results on a diverse set of NLP tasks and datasets utilizing unsupervised pretraining, nearly identically the same approach as the one ULMFiT used to achieve SOTA on several text classification datasets. However, OpenAI used the new Transformer architecture instead of the AWD LSTM used by ULMFiT and trained on a billion token corpus instead of ULMFiT’s Wikitext-103.

The Need for ML Safety Researchers

4 minute read


I recently came across this article in the New York Times, entitled “Mark Zuckerberg, Elon Musk and the Feud Over Killer Robots.” I found it quite thought provoking, even though the mainstream media’s accounts of these topics and debates always leave much to be desired (note: if you mention The Terminator, The Matrix, and 2001: A Space Odyssey in a discussion about AGI and superintelligence, you’ve already lost me).


less than 1 minute read


Welcome to my blog! I’ll be writing about my various academic interests here, including machine learning, deep learning, natural language processing, and AI alignment. I hope you enjoy!





Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.