I make use of detective work to try and figure out what the alleged AI breakthrough was at OpenAI and has been claimed to be called Q , leading supposedly toward AGI.
The development of large language models is mainly a feat of engineering and so far has been largely disconnected from the field of linguistics. Exploring links between the two directions is reopening longstanding debates in the study of language.
The power of human language and thought arises from systematic compositionality—the algebraic ability to understand and produce novel combinations from known components. Fodor and Pylyshyn1 famously argued that artificial neural networks lack this capacity and are therefore not viable models of the mind. Neural networks have advanced considerably in the years since, yet the systematicity challenge persists. Here we successfully address Fodor and Pylyshyn’s challenge by providing evidence that neural networks can achieve human-like systematicity when optimized for their compositional skills. To do so, we introduce the meta-learning for compositionality (MLC) approach for guiding training through a dynamic stream of compositional tasks. To compare humans and machines, we conducted human behavioural experiments using an instruction learning paradigm. After considering seven different models, we found that, in contrast to perfectly systematic but rigid probabilistic sy
Show It or Tell It? Text, Visualization, and Their Combination acm.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from acm.org Daily Mail and Mail on Sunday newspapers.
Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments - GitHub - adbar/trafilatura: Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments