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Series
A scientific reading series exploring world models, physical reasoning, causal AI and the emerging foundations of embodied intelligence.
Understanding the benchmark that evaluates whether large language models can truly reason through physical processes, equations and constraints Large language models can solve equations, explain scien
Understanding the foundations of world models through the influential 2018 paper by David Ha and Jürgen Schmidhuber Artificial intelligence has made impressive progress in recognising images, generati
For the past few years, the world has been amazed by the rapid evolution of Artificial Intelligence. Millions of people now use Large Language Models (LLMs) every day. Whether it is writing code, solv
Large Language Models (LLMs) like OpenAI GPT systems or models from Google DeepMind and Meta have shown incredible capabilities in language, coding, reasoning, and content generation. Yet, despite the
World models are internal simulations that let AI reason and plan about the environment [1, 2]. To work well, such models must understand objects and their interactions, not just pixels [1, 2]. Causal
