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www.lesswrong.com | ||
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www.alignmentforum.org
This is the fourth of seven posts in the Conditioning Predictive Models Sequence based on the paper "Conditioning Predictive Models: Risks and Strate... |
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www.greaterwrong.com
This is the third annual review of what's going on in technical AI safety. You could stop reading here and instead explore the data on the shallow review website. It's shallow in the sense that 1) we are not specialists in almost any of it and that 2) we only spent about two hours on each entry. Still, among other things, we processed every arXiv paper on alignment, all Alignment Forum posts, as well as a year's worth of Twitter. It is substantially a list of lists structuring 800 links. The point is to produce stylised facts, forests out of trees; to help you look up what's happening, or that thing you vaguely remember reading about; to help new researchers orient, know some of their options and the standing critiques; and to help you find who to talk to fo... |
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www.greaterwrong.com
TL;DR:Strong problem-solving systems can be built from AI systems that play diverse roles, LLMs can readily play diverse roles in role architectures, and AI systems based on role architectures can be practical, safe, and effective in undertaking complex and consequential tasks. This article explores the practicalities and challenges of aligning large language models (LLMs[1]) to play central roles in performing tasks safely and effectively. It highlights the potential value of Open Agency and related role architectures in aligning AI for general applications while mitigating risks. |
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dennybritz.com
Deep Learning is such a fast-moving field and the huge number of research papers and ideas can be overwhelming. |
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