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About That Mysterious AI Breakthrough Known As Q* By OpenAI That Allegedly Attains True AI Or Is On The Path Toward Artificial General Intelligence (AGI)

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. ....

Los Angeles , United States , New York , Noord Holland , San Francisco , Yuejiang Liu , Nils Nilsson , Sam Altman , Tao Lin , Cuilian Zhang , Xuebo Liu , Lidias Chao , Zico Kolter , Yuhuai Wu , Peter Hart , Roger Grosse , Johannes Treutlein , Chao Zhao , Sherlock Holmes , Stephen Kleene , Kaiqu Liang , Shaojie Bai , Derekf Wong , Ashwini Pokle , Edsger Dijkstra , Richard Bellman ,

Language models and linguistic theories beyond words | Nature Machine Intelligence

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. ....

United States , Czech Republic , Steven Piantadosi , Frederick Jelinek , Noam Chomsky , University Of California , Meeting Of The Association For Computational Linguistics , York University , Annual Meeting , Computational Linguistics , Tal Linzen , New York University ,

Human-like systematic generalization through a meta-learning neural network

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 ....

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Show It or Tell It? Text, Visualization, and Their Combination

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.

United States , New York , United Kingdom , David Ebert , Lundgarden Satyanarayan , Cindy Xiong , Scott Mccloud , Maryanne Wolf , Aiman Gaba , Danielle Szafir , Martia Hearst , Hendrick Strobelt , School Of Information , Ask Jeeves , Noderivs International , Digital Library , User Interface Software , Association For Computing Machinery , University Of California , Cognitive Research , Cognitive Science Society Meeting , Wiley Online Library , Machine Learning Research , Meeting Of The Association For Computational Linguistics , Wikipedia Foundation , Acm Inc ,

GitHub - adbar/trafilatura: Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments

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 ....

Lejeune Adrien Barbaresi , International Joint Conference On Natural Language Processing , Meeting Of The Association For Computational Linguistics , A Web Scraping Library , Association For Computational Linguistics , Adrien Barbaresi , Public License , Web Scraping Library , Command Line Tool , Text Discovery , Joint Conference , Annual Meeting , Computational Linguistics , International Joint Conference , Natural Language Processing ,