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@jeremynixon / thinking › machine-intelligence

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Machine Intelligence

Bias Variance vs. Variance, Bias Variance vs. Sensitivity-Specificity
Metalearning the Structure of Information
Deepmind's Path to Neuro-Inspired General Intelligence
High-Level Machine Intelligence Reading Group
Abstract Representation Learning
Google Brain Research Overview
Criticisms of Machine Learning / Deep Learning
Generative / Causal / Hierarchical Model-Based Reinforcement Learning
Against Embodiment, Intuitive Physics & Neuroinspiration
Deepmind Research Overview
Machine Intelligence Research Frontier
Future of Machine Intelligence
Issues in ML Research
Relative Safety of Forms of Machine Intelligence
Deep Learning Frameworks
Interesting Facts in Machine Learning
Open AI Research Breakdown
Multi-Agent
Recursive Self-Improvement, Task Search, AI-GAs, Powerplay [Beneficial AGI]
NeuroInspiration / Deep RL
Multi-Agent Conversation Notes
Facebook AI Research Overview
Relative Safety of Paths to General Intelligence

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