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problem-solving

22 items

RESEARCHarXiv CS.AI·20h ago

Some hypotheses on how chatbots work in problem-solving-driven conversations. Large Language Models as confirmation of the Innovation Illusion

This article examines the nature of chatbots, particularly Large Language Models, as problem-solving conversational partners, drawing on Aggregation Dynamics, Cognitive Linguistics, Neuropsychology, and Psychology. It hypothesizes that LLM training datasets only partially imitate human thinking and understanding, encoding artificial metaphorical problem propagations.

chatbotscognitive sciencelarge language modelslinguistics
54
ARTICLEDEV.to AI·4/14/2026

Don't Let AI Become The Leech Inside Your Brain

This article warns against the subtle dangers of over-reliance on AI, likening it to a leech that provides quick solutions but prevents the development of crucial problem-solving and learning skills. It suggests that while AI offers immediate productivity gains, it might secretly erode the deeper cognitive "clotting" mechanisms essential for genuine understanding.

Learning processdeveloper productivityAI dependencyCognitive skills
40
RESEARCHarXiv CS.AI·4/30/2026

Auto-Relational Reasoning

Researchers propose a novel theoretical framework for automated relational reasoning, integrating Machine Learning with rigid reasoning to surpass the limitations of current large models. The resulting system demonstrates high performance on IQ problems, achieving a 98.03% solving rate without prior knowledge.

neural networksmachine learningReasoningproblem-solving
27
DOCOpenAI Blog·4/10/2026

Getting started with ChatGPT

This content teaches how to use ChatGPT, start your first conversation, and discover simple ways to write, brainstorm, and solve problems with AI. It's an introductory guide to leverage the capabilities of artificial intelligence.

beginnersChatGPTtutorialAI
26
ARTICLEDEV.to AI·22d ago

Tools should Not Be the Goal

The author initially enjoyed learning about AI agents and building simple tools, but realized they were focusing too much on tool-making without identifying real-world problems to solve. They now understand the importance of shifting focus from tools to problem-solving in AI development.

learningtoolingproblem-solvingAI agents
21