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What the F*ck Is Artificial General Intelligence?
v1v2 (latest)

What the F*ck Is Artificial General Intelligence?

Artificial General Intelligence (AGI), 2025
31 March 2025
Michael Timothy Bennett
    AI4CE
ArXiv (abs)PDFHTMLGithub (16★)

Papers citing "What the F*ck Is Artificial General Intelligence?"

17 / 17 papers shown
Position: Stop Acting Like Language Model Agents Are Normal Agents
Position: Stop Acting Like Language Model Agents Are Normal Agents
Elija Perrier
Michael Timothy Bennett
LLMAGLM&Ro
196
5
0
04 Feb 2025
Why Is Anything Conscious?
Why Is Anything Conscious?
Michael Timothy Bennett
Sean Welsh
Anna Ciaunica
475
6
0
22 Sep 2024
Is Complexity an Illusion?
Is Complexity an Illusion?
Michael Timothy Bennett
385
5
0
31 Mar 2024
OpenCog Hyperon: A Framework for AGI at the Human Level and Beyond
OpenCog Hyperon: A Framework for AGI at the Human Level and Beyond
Ben Goertzel
V. Bogdanov
Michael Duncan
Deborah Duong
Z. Goertzel
...
Alexey Potapov
Andre Senna
Andres Suarez
Adam Vandervorst
Robert Werko
GNNAI4CE
175
14
0
19 Sep 2023
On the Computation of Meaning, Language Models and Incomprehensible
  Horrors
On the Computation of Meaning, Language Models and Incomprehensible HorrorsArtificial General Intelligence (AGI), 2023
Michael Timothy Bennett
AI4CE
267
11
0
25 Apr 2023
Emergent Causality and the Foundation of Consciousness
Emergent Causality and the Foundation of ConsciousnessArtificial General Intelligence (AGI), 2023
Michael Timothy Bennett
AI4CE
483
12
0
07 Feb 2023
Computational Dualism and Objective Superintelligence
Computational Dualism and Objective SuperintelligenceArtificial General Intelligence (AGI), 2023
Michael Timothy Bennett
AI4CE
489
10
0
02 Feb 2023
The Optimal Choice of Hypothesis Is the Weakest, Not the Shortest
The Optimal Choice of Hypothesis Is the Weakest, Not the ShortestArtificial General Intelligence (AGI), 2023
Michael Timothy Bennett
555
11
0
30 Jan 2023
The General Theory of General Intelligence: A Pragmatic Patternist
  Perspective
The General Theory of General Intelligence: A Pragmatic Patternist Perspective
B. Goertzel
AI4CE
315
25
0
28 Mar 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
2.3K
7,549
0
23 Jan 2020
Energy and Policy Considerations for Deep Learning in NLP
Energy and Policy Considerations for Deep Learning in NLPAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Emma Strubell
Ananya Ganesh
Andrew McCallum
712
3,261
0
05 Jun 2019
Neural-Symbolic Computing: An Effective Methodology for Principled
  Integration of Machine Learning and Reasoning
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Artur Garcez
Marco Gori
Luís C. Lamb
Luciano Serafini
Michael Spranger
Son N. Tran
NAI
302
370
0
15 May 2019
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
8.4K
173,997
0
12 Jun 2017
Towards Deep Symbolic Reinforcement Learning
Towards Deep Symbolic Reinforcement Learning
M. Garnelo
Kai Arulkumaran
Murray Shanahan
325
234
0
18 Sep 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.7K
21,359
0
16 Feb 2016
Bad Universal Priors and Notions of Optimality
Bad Universal Priors and Notions of Optimality
Jan Leike
Marcus Hutter
243
45
0
16 Oct 2015
An Approximation of the Universal Intelligence Measure
An Approximation of the Universal Intelligence Measure
Shane Legg
J. Veness
289
71
0
27 Sep 2011
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