In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.
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Enabling small language models to solve complex reasoning tasks
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
The chessboard has been the source of many ingenious puzzles that involve spatial reasoning and insight thinking. The seven ...
Manchester researchers have developed a systematic methodology to test whether AI can think logically in biomedical research, ...
For Kant, true moral actions must be motivated by duty, not some desired outcome. To have moral worth, our actions must be ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
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Flexible position encoding helps LLMs follow complex instructions and shifting states
Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...
Instead of a single, massive LLM, Nvidia's new 'orchestration' paradigm uses a small model to intelligently delegate tasks to a team of tools and specialized models.
Anchoring is another pervasive cognitive bias in legal settings. This occurs when the initial piece of evidence someone ...
Overview: Understanding the common limitations of AI tools can help you avoid mistakes, misuse, and confusion.ChatGPT users ...
This week, Dr. Gordon explores some of the thought of Thomas Nagel on reason and how subjectivists who deny objective reason ...
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