The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better decisions.

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

This is an important contribution that largely confirms prior evidence that word recognition - a cornerstone of development - improves across early childhood and is related to vocabulary growth. This ...

National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...

What is the neuropsychological basis for the brain's ever-changing contextualized goals? I explore this question from the perspective of the Affect Management Framework (AMF).

So many productivity methods ask you to prioritize your daily tasks by considering how much time or effort they'll require, then tackling the resource-heavy ones first. For some people, that's a solid ...