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

My understanding of) What Everyone in Technical Alignment is Doing and Why — AI Alignment Forum

Specialized LLMs: ChatGPT, LaMDA, Galactica, Codex, Sparrow, and More, by Cameron R. Wolfe, Ph.D.

Frontiers On the Commoditization of Artificial Intelligence

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

A High-level Overview of Large Language Models - Borealis AI

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents – arXiv Vanity

PDF) Metaverse: A Solution to the Multi-Agent Value Alignment Problem

Future Internet, Free Full-Text

My understanding of) What Everyone in Technical Alignment is Doing and Why — AI Alignment Forum

OpenAI Launches Superalignment Taskforce

Specialized LLMs: ChatGPT, LaMDA, Galactica, Codex, Sparrow, and More