Language Models and the Illusion of Understanding
26 Feb 2025
Do LLMs truly understand language or just mimic patterns? This review explores their capabilities, limitations, and the need for empirical research.
Transmission of cultural knowledge and linguistic scaffolding
26 Feb 2025
Can AI participate in cultural knowledge transfer? Research explores LLMs' role in learning, innovation, and cumulative knowledge-building.
Do Large Language Models Have an Internal Understanding of the World?
26 Feb 2025
Do LLMs develop internal world models? Research explores AI's ability to simulate real-world dynamics and reason beyond memorized patterns.
How AI Learns Words but Not Meaning
25 Feb 2025
AI chatbots sound fluent, but do they truly understand language? This article explores AI’s semantic limitations and the grounding problem in NLP.
Do AI Models Challenge the Need for Innate Grammar?
25 Feb 2025
Do AI models challenge the idea of innate grammar? Explore how neural networks, LLMs, and empirical data reshape the debate on human language acquisition.
The AI Compositionality Debate
25 Feb 2025
Explore whether AI can achieve human-like compositionality in thought and language, and how deep learning challenges classical symbolic models of cognition.
How Philosophers and Scientists View Cognitive AI
24 Feb 2025
Explore the philosophical debate on AI cognition, the Redescription Fallacy, and whether LLMs truly model human intelligence or are just statistical predictions
How LLMs Learn from Context Without Traditional Memory
24 Feb 2025
Discover how Transformer-based LLMs like GPT-4 process language, predict words, and adapt using self-attention, tokenization, and reinforcement learning.
The Shift from Symbolic AI to Deep Learning in Natural Language Processing
24 Feb 2025
Discover how AI language models evolved—from rule-based NLP to deep learning, word embeddings, and transformers—shaping today’s cutting-edge AI.