AGI Alignment Experiments: Foundation vs INSTRUCT, various Agent

Here’s the companion video: Here’s the GitHub repo with data and code: Here’s the writeup: Recursive Self Referential Reasoning This experiment is meant to demonstrate the concept of “recursive, self-referential reasoning” whereby a Large Language Model (LLM) is given an “agent model” (a natural language defined identity) and its thought process is evaluated in a long-term simulation environment. Here is an example of an agent model. This one tests the Core Objective Function

Simulators :: — Moire

PDF) Artificial Intelligence, Values and Alignment

Sustainability, Free Full-Text

How to solve solved alignment in AGI., by Jan Matusiewicz

Exploring AGI: The Future of Intelligent Machines

2023-9 arXiv roundup: A bunch of good ML systems and Empirical science papers

AutoML Deep Learning 2.0: Extending the Power of Deep Learning to the Meta-Level

A newcomer's guide to the technical AI safety field — LessWrong

AI Alignment: Why It's Hard, and Where to Start - Machine Intelligence Research Institute

Cooperation, Conflict, and Transformative Artificial Intelligence: A Research Agenda - Effective Altruism Foundation

Essential Guide to Foundation Models and Large Language Models, by Babar M Bhatti