Thanks, I’ve reinserted them and seems like they’re working now.
Adam B
Karma: 247
FYI @jefftk, the link from your site for this post goes to https://www.lesswrong.com/posts/slug/qNJnXBFzninFT5m3nkids which is a 404 for me
Thanks Raemon – I’m a fan of ~all these ideas! I’m not spending much time on Fatebook specifically these days (busy with various other projects), but your feedback is and has been super useful.
Here’s what the question creation interface looks like – you can create any question, and there’s a bunch of suggestions to help you get started:
Here’s what it looks like when you’ve created some questions. I made these predictions with my partner, so you can see her predictions on the question that’s expanded:
For more info, I’d suggest just using the website itself. It is designed to be super easy to use and self-describing!
The website is part of Fatebook, a tool for rapidly tracking predictions. Predict Your Year is a specialised page for creating yearly predictions (which is a popular activity for many people, e.g. inspired by Scott Alexander’s annual prediction posts). You can read more about Fatebook in this LessWrong post.
Predict your 2025: a website for recording probabilistic forecasts about your life and the world in the next year.
Thanks for the suggestion—you can now sign in to Fatebook with email!
my current guess is 15-20% of new users are already referred to the site because ChatGPT or Claude told them to read things here
Wow, this is higher than I would have expected! Do you have metrics showing this or otherwise what makes you think so?
Thank you!
Currently tags seem to only be useful for filtering your track record. I’d like to be able to filter the forecast list by tag.
I agree this would be nice. But try clicking on a tag to see all of your forecasts under it!
I think it’s still very useful to be able to predict your own behaviour (including in the case where you know you’ve made a prediction about it).
Things can get weird if you care more about the outcome of the prediction than the outcome of the event in itself, but this should rarely be the case—and is worth avoiding, I think.
Cool idea! I am not sure you’d be able to move to real money betting given that cheating is trivial (just google the text of the article).
Here’s an alpha version of a Firefox version!
If you run into any problems, it would be great to hear about them (e.g. by email).
most potentially dangerous capabilities should be highly correlated, such that measuring any of them should be okay. Thus, I think it should be fine to mostly focus on measuring the capabilities that are most salient to policymakers and most clearly demonstrate risks.
Once labs are trying to pass capability evaluations, they will spend effort trying to suppress the specific capabilities being evaluated*, so I think we’d expect them to stop being so highly correlated.
* If they try methods of more generally suppressing the kinds of capabilities that might be dangerous, I think they’re likely to test them most on the capabilities being evaluated by RSPs.
We’ve added a new deck of questions to the calibration training app—The World, then and now.
What was the world like 200 years ago, and how has it changed? Featuring charts from Our World in Data.
Thanks to Johanna Einsiedler and Jakob Graabak for helping build this deck!
We’ve also split the existing questions into decks, so you can focus on the topics you’re most interested in:
This should be fixed now (it was a timezone-related bug!)
I’ve made a basic version of Fatebook for Discord—you can install it here!
I’ve also added the ability to import your forecasts from a spreadsheet/CSV file, which I think is also useful for switching tools: fatebook.io/import-from-spreadsheet
This is now added (see below)
I’ve now added this! You can also see your track record for questions with specific tags, e.g.:
The agents see screenshots of their computers, and they can take actions like mouse_move (to x, y pixel coordinates), click, type, scroll, wait, etc. Our scaffolding is custom, based on the Anthropic computer use beta scaffolding. This is roughly the same system that OpenAI’s Computer Use Agent uses.