concepts

The paper proposes a unified computational theory integrating concepts and chunks from cognitive psychology, introduces the Trellis implementation, and demonstrates its ability to learn context-free grammars through experiments.

This article summarizes the six fundamental concepts of mathematics explained by mathematician Terence Tao in a Big Think interview, including numbers, algebra, geometry, probability, and more, exploring their historical development and applications.

The paper introduces ConceptGuard, a benchmark for evaluating context-sensitive unlearning in large language models using dual-use concepts, revealing that current unlearning techniques perform poorly under this practical evaluation framework.

A tweet promoting a list of 21 concepts to master for AI engineering.

This paper argues that concepts in LLMs should be treated as a design axis, mapping the design space along pipeline stage and grounding dimension, and proposes moving from recovering concepts post-hoc to designing explicit conceptual representations.

Explains the difference between loop engineering and graph engineering for AI workflows, using analogies of single vs multi-station assembly lines, and provides a simple framework for choosing between them.

A guide to key Python functions and concepts shared by MIT CSAIL and PythonDvz.

In the age of AI-assisted coding, the author argues that deep understanding of programming language concepts remains essential for engineering, listing key ideas from various languages that expand mental models for problem solving.

Analysis of 2.6 billion sketches from 236 countries reveals hidden cultural variation in how common concepts are visually represented, showing that visual imagery preserves rich semantic and cultural structure that language models compress.

This newsletter explains 30 core agentic engineering concepts, emphasizing learning the ideas behind tools rather than chasing every new tool.

A Twitter thread clarifies the distinct roles of Skills, Subagents, MCP, and Hooks in AI agent design, arguing that confusing them leads to inefficient and costly systems.

Recommending a Huggingface article that explains common terms of AI Agent to help clarify concepts like Harness, Scaffold, Context Engineering, etc.