Essentials of General Intelligence: The Direct Path to Artificial General Intelligence

By Peter Voss. 2007

48 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Cultural Studies, Large Language Models, Alignment & RLHF

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Emily M. Bender
2. Emily L. Denton
3. Inioluwa Deborah Raji

In Cultural Studies

1. Emily M. Bender
2. Emily L. Denton
3. A. Hanna

In Large Language Models

1. Inioluwa Deborah Raji
2. A. Hanna
3. Emily L. Denton
4. Amandalynne Paullada
5. Emily M. Bender
6. Alessandro Lenci

Citations in the corpus

• AI and the Everything in the Whole Wide World Benchmark (2021, background): “While discussions of “generality” might evoke the goal of artificial general intelligence [Voss, 2007, Pennachin and Goertzel, 2007], we set that aside in this paper and focus instead on the more immediate (and logically prior) issue of claims of generality for a specific type of cognitive skill or…”