Several recent advances in AI systems solve problems by providing a" scaffolding" program
that structures multiple calls to language models to generate better outputs. A scaffolding …

Artificial general intelligence (AGI) is AI that can reason across a wide range of domains.
While most AI research and development (R&D) is on narrow AI, not AGI, there is some …

This book is designed to become a foundational text for the new science of AI safety
engineering. While specific predictions regarding the consequences of an intelligence …

An important feature of human learning is the ability to continuously accept new information
and unify it with existing knowledge, a process that proceeds largely automatically and …

Manufacturers migrate their processes to Industry 4.0, which includes new technologies for
improving productivity and efficiency of operations. One of the issues is capturing …

The rapid advancement of large language models (LLMs) has significantly enhanced the
capabilities of AI-driven agents across various tasks. However, existing agentic systems …

The knowledge that a natural learner creates of any new situation will initially not only be
partial but very likely be partially incorrect. To improve incomplete and incorrect knowl-edge …

Artificial general intelligence (AGI) is artificial intelligence (AI) that can reason across a wide
range of domains. While most AI research and development (R&D) deals with narrow AI, not …

There is a significant lack of unified approaches to building generally intelligent machines.
The majority of current artificial intelligence research operates within a very narrow field of …

The concept of understanding is commonly used in everyday communications, and seems to
lie at the heart of human intelligence. However, no concrete theory of understanding has …