A new process for mapping discussions
By Nathan Young @ 2024-09-30T08:57 (+11)
This is a linkpost to https://open.substack.com/pub/nathanpmyoung/p/a-new-process-for-mapping-discussions?r=18mntl&utm_campaign=post&utm_medium=web
This is a crosspost, probably from LessWrong. Try viewing it there.
nullChris Leong @ 2024-09-30T14:37 (+3)
I'd provide an option for figures to opt out of being included in this site.
Nathan Young @ 2024-10-02T09:04 (+2)
Under your model would they be able to opt out of being written about in articles?
Gabe K @ 2024-09-30T19:20 (+1)
This feels incredibly useful in concept... If the goal is to build a sustainable system that you actually want to use, maybe create a library of figures to track, and use a language model to automatically sort statements as pertaining to certain issues and then gauge their stance with sentiment analysis... This could get pushed to you or a team member for approval before actually going on the site, and could save a lot of time.
SummaryBot @ 2024-09-30T14:20 (+1)
Executive summary: The author describes FindingConsensus.AI, a new website that maps public figures' opinions on AI-related questions, aiming to improve discussions and find consensus on complex issues.
Key points:
- The site displays estimated opinions of public figures on specific questions, based on their statements and the author's interpretation.
- This approach helps identify areas of disagreement and deeper underlying models, potentially leading to more productive discussions.
- Challenges include ensuring accuracy of representations and maintaining legitimacy while making editorial decisions.
- The author hopes this tool can create "checkpoints" in discussions, allowing for progress and common knowledge to accumulate over time.
- Future improvements could include polling, prediction markets, and tools for finding mutually agreeable solutions.
- The project highlights the value of building practical tools and the potential for positive-sum solutions in AI discussions.
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