Format Book / Offline paper "Reinforcement learning faces major challenges outside controlled environments because repeated failures can be costly or dangerous, accurate simulations are difficult to build, and learned policies may fail to generalize to unfamiliar conditions." View Source Location PART 3 - THE THIRD AXIS CHAPTER 13: SPECKLED INTELLIGENCE AI vs. Cybernetics Source title Artificial General Intelligence Source authors Julian Togelius Source year 2024 Confidence high Importance high
Format Web Page "Reinforcement learning works best when trial and error is cheap, the environment can be reset, and success can be measured without too much ambiguity." View Source Location PART 3 - THE THIRD AXIS CHAPTER 13: SPECKLED INTELLIGENCE AI vs. Cybernetics Source title Verifiability Source authors Andrej Karpathy Source year 2025 Confidence high Importance high
Format Online paper / PDF "Artificial neural network parameter counts have expanded into the trillions, including sparsely activated models developed by Google researchers." View Source Location PART 3 - THE THIRD AXIS CHAPTER 13: SPECKLED INTELLIGENCE AI vs. Cybernetics Source title Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity Source authors William Fedus, Barret Zoph, Noam Shazeer Source year 2022 Confidence high Importance high
Format Online paper / PDF "Artificial neural networks use numerical weights and gradient-based optimization, but their learning mechanisms are not identical to those of biological nervous systems." View Source Location PART 3 - THE THIRD AXIS CHAPTER 13: SPECKLED INTELLIGENCE AI vs. Cybernetics Source title Backpropagation and the brain Source authors Timothy P. Lillicrap, Adam Santoro, Luke Marris, Colin J. Akerman, Geoffrey Hinton Source year 2020 Confidence high Importance high
Format Web Page "Reinforcement learning is particularly tractable when repeated attempts are inexpensive, the environment can be reset, and success can be evaluated automatically." View Source Location PART 3 - THE THIRD AXIS CHAPTER 13: SPECKLED INTELLIGENCE AI vs. Cybernetics Source title Verifiability Source authors Andrej Karpathy Source year 2025 Confidence high Importance high
Format Online paper / PDF "Reinforcement learning has historical roots in animal learning and trial-and-error psychology, alongside mathematical developments in optimal control and dynamic programming." View Source Location PART 3 - THE THIRD AXIS CHAPTER 13: SPECKLED INTELLIGENCE AI vs. Cybernetics Source title Reinforcement Learning: An Introduction Source authors Richard S. Sutton, Andrew G. Barto Source year 2018 Confidence high Importance high
Format Web Page "Genetic algorithms borrow from biological evolution, using populations of candidate solutions, mutation, crossover, selection, and fitness functions to search for better solutions." View Source Location PART 3 - THE THIRD AXIS CHAPTER 13: SPECKLED INTELLIGENCE AI vs. Cybernetics Source title Genetic algorithms Source authors John H. Holland Source year 2012 Confidence high Importance high
Format Online paper / PDF "Jerome Lettvin, Humberto Maturana, Warren McCulloch, and Walter Pitts showed that the frog’s retina already filters visual information, responding to motion, contrast, boundaries, and small moving objects." View Source Location PART 3 - THE THIRD AXIS CHAPTER 13: SPECKLED INTELLIGENCE AI vs. Cybernetics Source title What the Frog's Eye Tells the Frog's Brain Source authors J. Y. Lettvin, H. R. Maturana, W. S. McCulloch, W. H. Pitts Source year 1959 Confidence high Importance high
Format Web Page "The term Artificial Intelligence appeared in the Dartmouth research proposal that received funding from the Rockefeller Foundation." View Source Location PART 3 - THE THIRD AXIS CHAPTER 13: SPECKLED INTELLIGENCE AI vs. Cybernetics Source title Seventy Years After the Birth of AI, the Work Begins Source authors Andrew Sweet Source year 2025 Confidence high Importance high
Format Online paper / PDF "John McCarthy deliberately chose the term Artificial Intelligence partly to escape association with cybernetics and avoid treating Norbert Wiener as a guru or having to argue with him." View Source Location PART 3 - THE THIRD AXIS CHAPTER 13: SPECKLED INTELLIGENCE AI vs. Cybernetics Source title The Quest for Artificial Intelligence: A History of Ideas and Achievements Source authors Nils J. Nilsson Source year 2010 Confidence high Importance high
