The Basic Reasoning Test That Separates Real Intelligence from AI Post date November 5, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, deep-learning, deep-learning-theory, height-comparison-task, prompt-engineering, syllogistic-reasoning, turing-completeness
The Basic Reasoning Test That Separates Real Intelligence from AI Post date November 5, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, deep-learning, deep-learning-theory, height-comparison-task, prompt-engineering, syllogistic-reasoning, turing-completeness
Research from Apple and EPFL Explains Why AI Models Can’t Truly “Reason” Yet Post date November 5, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, deep-learning, deep-learning-theory, gradient-descent, statistical-query, syllogistic-reasoning, turing-completeness
Research from Apple and EPFL Explains Why AI Models Can’t Truly “Reason” Yet Post date November 5, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, deep-learning, deep-learning-theory, gradient-descent, statistical-query, syllogistic-reasoning, turing-completeness
Overcoming Locality in Auto-Regressive Transformers Post date November 5, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, autoregressive-training, compositional-generalization, deep-learning, deep-learning-theory, positional-embeddings, syllogistic-reasoning, turing-completeness
Overcoming Locality in Auto-Regressive Transformers Post date November 5, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, autoregressive-training, compositional-generalization, deep-learning, deep-learning-theory, positional-embeddings, syllogistic-reasoning, turing-completeness
Does Progressive Training Improve Neural Network Reasoning Ability? Post date November 5, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, data-distribution, deep-learning, deep-learning-theory, statistical-correlations, syllogistic-reasoning, turing-completeness
The Science of Reasoning in Large Language Models Post date November 5, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, deep-learning, deep-learning-theory, length-generalization, memorization-vs.-reasoning, syllogistic-reasoning, turing-completeness
The Training Technique That Teaches AI to Think, Not Memorize Post date November 3, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, deep-learning, deep-learning-theory, neural-architecture-theory, syllogistic-reasoning, transformer-learning-limits, turing-completeness
The Training Technique That Teaches AI to Think, Not Memorize Post date November 3, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, deep-learning, deep-learning-theory, neural-architecture-theory, syllogistic-reasoning, transformer-learning-limits, turing-completeness
How Inductive Scratchpads Help Transformers Learn Beyond Their Training Data Post date November 3, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, attention-masking, compositional-generalization, deep-learning, deep-learning-theory, parity-task, syllogistic-reasoning, turing-completeness
How Inductive Scratchpads Help Transformers Learn Beyond Their Training Data Post date November 3, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, attention-masking, compositional-generalization, deep-learning, deep-learning-theory, parity-task, syllogistic-reasoning, turing-completeness
Understanding the Local Reasoning Barrier in Transformer Models Post date November 3, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, deep-learning, deep-learning-theory, distribution-locality, sample-complexity, syllogistic-reasoning, turing-completeness
Understanding the Local Reasoning Barrier in Transformer Models Post date November 3, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, deep-learning, deep-learning-theory, distribution-locality, sample-complexity, syllogistic-reasoning, turing-completeness
Why Transformers Struggle with Global Reasoning Post date November 3, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, cycle-task, deep-learning, deep-learning-theory, local-reasoning-barrier, syllogistic-reasoning, turing-completeness
Why Transformers Struggle with Global Reasoning Post date November 3, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, cycle-task, deep-learning, deep-learning-theory, local-reasoning-barrier, syllogistic-reasoning, turing-completeness
Can Transformers Learn Logical Reasoning from Scratch? Post date November 3, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, deep-learning, deep-learning-theory, neural-reasoning-limits, out-of-distribution-learning, syllogistic-reasoning, turing-completeness
Can Transformers Learn Logical Reasoning from Scratch? Post date November 3, 2025 Post author By Anomaly Detection Post categories In algorithmic-reasoning, compositional-generalization, deep-learning, deep-learning-theory, neural-reasoning-limits, out-of-distribution-learning, syllogistic-reasoning, turing-completeness
Multi-Token Prediction: Mastering Algorithmic Reasoning with Enhanced Resource Use Post date July 23, 2025 Post author By Cosmological thinking: time, space and universal causation Post categories In ai-reasoning, ai-theory, algorithmic-reasoning, computation-sharing, deep-learning, llm-optimization, multi-token-prediction, pause-tokens
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