AGI Alignment Experiments: Foundation vs INSTRUCT, various Agent
Por um escritor misterioso
Last updated 24 abril 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
My understanding of) What Everyone in Technical Alignment is Doing and Why — AI Alignment Forum

Sensors, Free Full-Text

Philosophies, Free Full-Text

Artificial Intelligence, Values, and Alignment

Simulators :: — Moire

Science Cast

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

Generative pre-trained transformer - Wikipedia

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

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

Survey XII: What Is the Future of Ethical AI Design?, Imagining the Internet

OpenAI Launches Superalignment Taskforce

The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions - ScienceDirect

AGI Alignment Experiments: Foundation vs INSTRUCT, various Agent Models - Community - OpenAI Developer Forum

WizardLM (@WizardLM_AI) / X
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