The Limitations of Chain of Thought in AI Problem-Solving

The Limitations of Chain of Thought in AI Problem-Solving

Large Language Models (LLMs) have significantly advanced artificial intelligence, excelling in tasks such as language generation, problem-solving, and logical reasoning. Among their most notable techniques is “Chain of Thought” (CoT) reasoning, where models generate step-by-step explanations before arriving at answers. This approach has been widely celebrated for its ability to emulate human-like problem-solving. However, recent […] The post The…

Reasoning Models Often Hide Information From Their Chain-of-Thought, Anthropic Study Reveals

Reasoning models—those AIs like Anthropic’s Claude 3.7 Sonnet and DeepSeek R1 — that show their step-by-step “Chain-of-Thought” (CoT) reasoning have been hailed as... The post Reasoning Models Often Hide Information From Their Chain-of-Thought, Anthropic Study Reveals appeared first on OfficeChai.