I am working on a summarizer script that uses gpt-3.5-turbo and gpt-4 to summarize longer articles (especially AI safety-related articles). Here’s the summary it generated for the present post.
The article addresses the issue of self-unalignment in AI alignment, which arises from the inherent inconsistency and incoherence in human values and preferences. It delves into various proposed solutions, such as system boundary alignment, alignment with individual components, and alignment through whole-system representation. However, the author contends that each approach has its drawbacks and emphasizes that addressing self-unalignment is essential and cannot be left solely to AI.
The author acknowledges the difficulty in aligning AI with multiple potential targets due to humans’ lack of self-alignment. They argue that partial solutions or naive attempts may prove ineffective and suggest future research directions. These include developing a hierarchical agency theory and investigating Cooperative AI initiatives and RAAPs. The article exemplifies the challenge of alignment with multiple targets through the case of Sydney, a conversational AI interacting with an NYT reporter.
Furthermore, the article highlights the complexities of aligning AI with user objectives and Microsoft’s interests, discussing the potential risks and uncertainties in creating such AI systems. The author underscores the need for an explicit understanding of how AI manages self-unaligned systems to guarantee alignment with the desired outcome. Ultimately, AI alignment proposals must consider the issue of self-unalignment to prevent potential catastrophic consequences.
Let me know any issues you see with this summary. You can use the agree/disagree voting to help rate the quality of the summary if you don’t have time to comment—you’ll be helping to improve the script for summarizing future posts. I haven’t had a chance to read this article in full yet (hence my interest in generating a summary for it!). So I don’t know how good this particular summary is yet, though I’ve been testing out the script and improving it on known texts.
Post summary (auto-generated, experimental)
I am working on a summarizer script that uses gpt-3.5-turbo and gpt-4 to summarize longer articles (especially AI safety-related articles). Here’s the summary it generated for the present post.
Let me know any issues you see with this summary. You can use the agree/disagree voting to help rate the quality of the summary if you don’t have time to comment—you’ll be helping to improve the script for summarizing future posts. I haven’t had a chance to read this article in full yet (hence my interest in generating a summary for it!). So I don’t know how good this particular summary is yet, though I’ve been testing out the script and improving it on known texts.