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domain	alignmentforum.org
summary	This collection of discussions on Cast focuses on AI safety, particularly concerning misalignment and catastrophe. Key themes include: * Corrigibility as a Central Target: The core argument is that addressing corrigibility – the ability to align AI goals – is the most crucial aspect of ensuring AI safety. * Fundamental Alignment Challenges: Without significant advancements, misalignment and catastrophic outcomes are likely with powerful AI. * Mechanistic Interpretability and Feature Representation: There’s a debate around whether models’ “features” are truly fundamental and the implications for interpretability. LawrenceC highlights the underweighted threat of models developing misaligned goals through reflection over long rollouts. * Diverse Threat Models: Discussions cover broader threat models like reward-seeking, scheming monitors, and AI psychology’s role in instrumental convergence. * Research Progress: Recent research suggests that pretraining on aligned AI data can mitigate misalignment risks, and explores potential approaches like AlgZoo and LLM alignment research.
title	Vercel Security Checkpoint
description	Vercel Security Checkpoint
keywords	model, more, training, reward, alignment, inoculation, prompt, think, like, might, models, task, being, human, there, time, features
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nslookup	A 216.150.1.1
created	2025-11-10
updated	2026-02-02
summarized	2026-02-03