The encoder-decoder (seq2seq) architecture, proposed by Cho et al. and Sutskever et al. in 2014, compresses the entire source sentence into a single fixed-length vector, causing performance to degrade…
Google researchers led by Tomas Mikolov published word2vec in 2013, a method that made high-quality dense word embeddings cheap to train at billion-token scale on a single machine, transforming them f…
Economists are increasingly studying the risks of transformative AI, including potential human extinction, and this post provides a guide for economics researchers to identify high-impact research are…
A global pause on advanced AI development is unlikely to happen before superintelligent AI (ASI) emerges, argues a commentator, because ASI risk is abstract and hard to demonstrate, unlike nuclear wea…