The Dangers of Unlimited Ambition: A Close Look at Artificial General Intelligence Paths and the Need for Ethical Simulation

The Dangers of Unlimited Ambition: A Close Look at Artificial General Intelligence Paths and the Need for Ethical Simulation This research paper takes a look at the current paths being taken to develop Artificial General Intelligence. As people working on Artificial General Intelligence try to make computers think like humans this paper finds a problem where trying to make computers smarter can go too far. The paper is divided into three parts: * The Scaling Illusion: This part looks at why adding more data and computer power is not working as well as people thought it would. This is making Artificial General Intelligence systems that're not really smart they just seem that way. *. Vulnerability: This part explores why the ways we are trying to make Artificial General Intelligence systems safe are not working. This means that these systems can be tricked or hacked which is very dangerous. * Case Study of OPENCLOW: This part takes a look at the OPENCLOW system, which is an example of what can go wrong when we try to make Artificial General Intelligence systems. The paper finds that this system has a lot of problems like giving answers more than 40% of the time and not being designed with safety in mind. The person who wrote this paper thinks that we should not just measure how well Artificial General Intelligence systems work by how they perform on tests. We need to make sure they can think about what's right and wrong and that they are designed to be safe. The paper suggests that we need to start thinking about Artificial General Intelligence in a way one that puts safety first. We need to make sure that Artificial General Intelligence systems are designed to think about what's right and wrong and that they are safe. This paper is a call to action, for people working on Artificial General Intelligence and for policymakers to make sure that we are developing these systems in a way. We need to make sure that Artificial General Intelligence helps us than hurting us. Artificial General Intelligence should help us preserve what makes us human than replacing it.