EDIT: We've stopped answering questions for now, sorry if we didn't get to your question! We're still really interested in what kinds of questions people want forecasted, feedback on how useful it is to delegate forecasts, and Elicit as a tool, so feel free to keep commenting these thoughts. We also forecasted questions on the EA Forum version of this post.
Hi everyone! We, Ought, have been working on Elicit, a tool to express beliefs in probability distributions. This is an extension of our previous work on delegating reasoning. We’re experimenting with breaking down the reasoning process in forecasting into smaller steps and building tools that support and automate these steps.
In this specific post, we’re exploring the dynamics of Q&A with distributions by offering to make a forecast for a question you want answered. Our goal is to learn:
Whether people would appreciate delegating predictions to a third party, and what types of predictions they want to delegate
Whether a distribution can more efficiently convey information (or convey different types of information) than text-based interactions
Whether conversing in distributions isolates disagreements or assumptions that may be obscured in text
How to translate the questions people care about or think about naturally into more precise distributions (and what gets lost in that translation)
We also think that making forecasts is quite fun. In that spirit, you can ask us (mainly Amanda Ngo and Eli Lifland) to forecast any continuous question that you want answered. Just make a comment on this post with a question, and we’ll make a distribution to answer it.
Some examples of questions you could ask:
When will I be able to trust a virtual personal assistant to make important decisions for me?
I live in the US. How much happier will I be if I move to Germany?
How many EA organizations will be founded in 2021?
I live in New York. When will I be able to go to the gym again?
We’ll spend <=1 hour on each one, so you should expect about that much rigor and information density. If there’s context on you or the question that we won’t be able to find online, you can include it in the comment to help us out.
We’ll answer as many questions as we can from now until Monday 8/3. We expect to spend about 10-15 hours on this, so we may not get to all the questions. We’ll post our distributions in the comments below. If you disagree or think we missed something, you can respond with your own distribution for the question.
We’d love to hear people’s thoughts and feedback on outsourcing forecasts, providing beliefs in probability distribution, or Elicit generally as a tool. If you’re interested in more of what we’re working on, you can also check out the competition we’re currently running on LessWrong to amplify Rohin Shah’s forecast on when the majority of AGI researchers will agree with safety concerns.
In what year would more than 30% of US adults own a device whose primary interaction mode is through augmented reality (such as google glass or the rumored apple AR glasses)?
Tablet: iPad launched in 2010, tablets reached 30% penetration in 2013 (3 years, not a perfect reference point because iPads are just a subset of tablets)
EDIT: We've stopped answering questions for now, sorry if we didn't get to your question! We're still really interested in what kinds of questions people want forecasted, feedback on how useful it is to delegate forecasts, and Elicit as a tool, so feel free to keep commenting these thoughts. We also forecasted questions on the EA Forum version of this post.
Hi everyone! We, Ought, have been working on Elicit, a tool to express beliefs in probability distributions. This is an extension of our previous work on delegating reasoning. We’re experimenting with breaking down the reasoning process in forecasting into smaller steps and building tools that support and automate these steps.
In this specific post, we’re exploring the dynamics of Q&A with distributions by offering to make a forecast for a question you want answered. Our goal is to learn:
We also think that making forecasts is quite fun. In that spirit, you can ask us (mainly Amanda Ngo and Eli Lifland) to forecast any continuous question that you want answered. Just make a comment on this post with a question, and we’ll make a distribution to answer it.
Some examples of questions you could ask:
We’ll spend <=1 hour on each one, so you should expect about that much rigor and information density. If there’s context on you or the question that we won’t be able to find online, you can include it in the comment to help us out.
We’ll answer as many questions as we can from now until Monday 8/3. We expect to spend about 10-15 hours on this, so we may not get to all the questions. We’ll post our distributions in the comments below. If you disagree or think we missed something, you can respond with your own distribution for the question.
We’d love to hear people’s thoughts and feedback on outsourcing forecasts, providing beliefs in probability distribution, or Elicit generally as a tool. If you’re interested in more of what we’re working on, you can also check out the competition we’re currently running on LessWrong to amplify Rohin Shah’s forecast on when the majority of AGI researchers will agree with safety concerns.