AGI Alignment Experiments: Foundation vs INSTRUCT, various Agent
Por um escritor misterioso
Last updated 29 março 2025

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

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Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models – arXiv Vanity

The Substrata for the AGI Landscape
The Multidisciplinary Approach to Alignment (MATA) and Archetypal Transfer Learning (ATL) — EA Forum

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Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy - ScienceDirect

leewayhertz.com-Auto-GPT Unleashing the power of autonomous AI agents.pdf

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

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