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
RECKONING Method: Bi-Level Optimization for Dynamic Knowledge Encoding and Robust Reasoning Post date October 24, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In bi-level-optimization, contextual-knowledge, gradient-descent, inference-process, knowledge-encoding, llm, llm-reasoning, reckoning-algorithm
How Gradient-Free Training Could Decentralize AI Post date January 12, 2025 Post author By Laszlo Fazekas Post categories In ai-adoption, ai-training, decentralized-ai, future-of-ai, gradient-descent, gradient-free-ai-training, neural-networks, small-neural-networks
Machine Learning explained with high-school math Post date March 29, 2021 Post author By Aaron Li Post categories In artificial-intelligence, gradient-descent, machine-intelligence, machine-learning, pytorch
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