FRI
Article
FRI is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between July 20, 2023 and March 12, 2024. The archive places it in contexts such as “FRI called back a few XPT forecasters in May 2023”; “challenged FRI’s research”. It most often appears alongside GPT-4, Metaculus, OpenAI.
Metadata
- Category: Organizations
- Mention count: 2
- Issue count: 2
- First seen: July 20, 2023
- Last seen: March 12, 2024
Appears In
Related Pages
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- GPT-4 (2 shared issues)
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- Metaculus (2 shared issues)
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- OpenAI (2 shared issues)
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- ACX MEETUP (1 shared issues)
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- AGI (1 shared issues)
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- AI (1 shared issues)
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- Asterisk (1 shared issues)
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- Bard (1 shared issues)
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- Berkeley (1 shared issues)
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- Bitcoin (1 shared issues)
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- Black Plague (1 shared issues)
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- ChaosGPT (1 shared issues)
External Links
Source Context
Recovered passages from the original issue text. When the raw archive preserved outbound links inside the source passage, they are listed directly under the quote.
In summer 2022, the Metaculus estimate was 30%, compared to the XPT superforecasters’ 9% (why the difference? maybe because Metaculus is especially popular with x-risk-pilled rationalists). Since then it’s gone up to 38%. Over the same period, Metaculus estimates of AI catastrophe risk went from 6% to 15%. If the XPT superforecasters’ probabilities rose linearly by the same factor as Metaculus forecasters’, they might be willing to update total global catastrophe risk to 11% and AI catastrophe risk to 5%. But the main thing we’ve updated on since 2022 is that AI might be sooner. But most people in the tournament already agreed we would get AGI by 2100. The main disagreement was over whether it would cause a catastrophe once we got it. You could argue that getting it sooner increases that risk, since we’ll have less time to work on alignment. But I would be surprised if the kind of people saying the risk of AI extinction is 0.4% are thinking about arguments like that. So maybe we shouldn’t expect much change. FRI called back a few XPT forecasters in May 2023 to see if any of them wanted to change their minds, but they mostly didn’t. Overall I don’t think this was just a problem of the incentives being bad or the forecasters being stupid. This is a real, strong disagreement. We may be able to slightly increase their forecast based on recent events, but this would only change the estimate a little. Breaking Down The AI Estimate How did the forecasters arrive at their AI estimate? What were the cruxes between the people who thought AI was very dangerous, and the people who thought it wasn’t? You can think of AI extinction as happening in a series of steps: We get human-level AI by 2100.
The most pessimistic domain experts were pretty annoyed by this, and challenged FRI’s research. Maybe AI is an especially tough subject to understand. Maybe if you forced the superforecasters to do really deep dives and hear all the arguments and become domain experts themselves, they would change their minds.