Article "All roads lead to AGI"
by Rich Heimann
June 2, 2022
Article "Yann LeCun has a bold new vision for the future of AI"
One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers.
By Melissa Heikkilä and Will Douglas Heaven
June 24, 2022
Yann LeCun
Last edited by Airicist2; 24th June 2022 at 15:49.
Book "Algorithms Are Not Enough: Creating General Artificial Intelligence", Herbert Roitblat, 2020
Article "Google DeepMind CEO Says Some Form of AGI Possible in a Few Years"
Demis Hassabis cites need to develop artificial general intelligence responsibly
by Miles Kruppa
May 2, 2023
Demis Hassabis
Article "Microsoft Says New A.I. Shows Signs of Human Reasoning"
A provocative paper from researchers at Microsoft claims A.I. technology shows the ability to understand the way people do. Critics say those scientists are kidding themselves.
by Cade Metz
May 16, 2023
"Sparks of Artificial General Intelligence:Early experiments with GPT-4"
by Sebastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg,
Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, Yi Zhang
April 13, 2023
Last edited by Airicist2; 18th May 2023 at 22:04.
Article "SoftBank’s Son Says Artificial General Intelligence Will Soon Surpass Humans"
Technology investor predicts people will need to adopt AI in their lives
by Akane Otani
October 3, 2023
Article "Google DeepMind wants to define what counts as artificial general intelligence"
AGI is one of the most disputed concepts in tech. These researchers want to fix that.
by Will Douglas Heaven
November 16, 2023
"Levels of AGI: Operationalizing Progress on the Path to AGI"
by Meredith Ringel Morris, Jascha Sohl-dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clement Farabet, Shane Legg
November 4, 2023
We propose a framework for classifying the capabilities and behavior of Artificial General Intelligence (AGI) models and their precursors. This framework introduces levels of AGI performance, generality, and autonomy. It is our hope that this framework will be useful in an analogous way to the levels of autonomous driving, by providing a common language to compare models, assess risks, and measure progress along the path to AGI. To develop our framework, we analyze existing definitions of AGI, and distill six principles that a useful ontology for AGI should satisfy. These principles include focusing on capabilities rather than mechanisms; separately evaluating generality and performance; and defining stages along the path toward AGI, rather than focusing on the endpoint. With these principles in mind, we propose 'Levels of AGI' based on depth (performance) and breadth (generality) of capabilities, and reflect on how current systems fit into this ontology. We discuss the challenging requirements for future benchmarks that quantify the behavior and capabilities of AGI models against these levels. Finally, we discuss how these levels of AGI interact with deployment considerations such as autonomy and risk, and emphasize the importance of carefully selecting Human-AI Interaction paradigms for responsible and safe deployment of highly capable AI systems.
"The Bitter Lesson"
by Rich Sutton
March 13, 2019
Article "AI Companies Are Obsessed with AGI. No One Can Agree What Exactly It Is"
More tech companies are trying to develop artificial general intelligence, but there’s significant debate in the industry over how to define it and when it may arrive.
by Shirin Ghaffary
January 26, 2024
Last edited by Airicist2; 19th March 2024 at 23:52.
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