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Jonathan Mann

@jonathanmann.bsky.social

I'm a forecasting professional with Good Judgment (Superforecaster), RAND (INFER Pro), and Samotsvety. I currently work as a Security Architect and was previously a Data Scientist on Wall Street. I also teach computer science as adjunct faculty at NYU.

81 Followers  |  142 Following  |  5 Posts  |  Joined: 13.09.2023  |  1.4588

Latest posts by jonathanmann.bsky.social on Bluesky

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Abundance Starts with Mobility skip the gridlock and take the faster route to abundance

open.substack.com/pub/abstract...

14.05.2025 11:40 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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Discovering Better World Models separating discernment from delusion

Discovering Better World Models
open.substack.com/pub/abstract...

24.04.2025 17:35 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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AI 2027 A research-backed AI scenario forecast.

"How, exactly, could AI take over by 2027?"

Introducing AI 2027: a deeply researched scenario forecast I wrote with Daniel Kokoatjlo, Scott Alexander, and others.

The scenario: ai-2027.com
PDF version: ai-2027.com/scenario.pdf

03.04.2025 23:16 โ€” ๐Ÿ‘ 9    ๐Ÿ” 6    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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2027 Intelligence Explosion: Month-by-Month Model โ€” Scott Alexander & Daniel Kokotajlo Misaligned hive minds, Xi and Trump waking up, and automated Ilyas accelerating AI progress

Also, check out this podcast with two of the authors: www.dwarkesh.com/p/scott-daniel

03.04.2025 17:46 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Looks like a great start. Are you looking for feedback or just putting it out there for others to build on?

10.03.2025 17:03 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

When you write your post about which experts to trust, make sure to mention exponential weights. Even when the experts select their predictions adversarially, exponential weights is only O(\sqrt{T}) worse than the best expert in hindsight. See the proof here:
www.mit.edu/~9.520/sprin...

17.01.2025 04:42 โ€” ๐Ÿ‘ 1    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

What is everyone wrong about? Exaggerated, unnuanced takes ๐Ÿงต

Forecasting.

Everyone is wrong about why forecasting is good for most people. It's a way to learn if they are bullshitting uncorrelated with the career success or social approval.

x.com/s_r_constan...

15.01.2025 00:41 โ€” ๐Ÿ‘ 4    ๐Ÿ” 1    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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When to Use Forecasting for Decisions seldom needed, but don't neglect it when it is

When should you actually spend time forecasting a decision?
Seldom. But when you should, you really should.
New post on knowing when forecasting matters (and when it doesn't):
abstraction.substack.com/p/when-to-us...

13.12.2024 16:01 โ€” ๐Ÿ‘ 3    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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Examining the replicability of online experiments selected by a decision market - Nature Human Behaviour This study finds that decision markets can be a useful tool for selecting studies for replication. For a sample of 26 online experiments published in PNAS selected by a decision market, the authors fi...

New in NHB: We systematically replicated 26 of 41 PNAS social science studies that used MTurk. The approach provides a proof-of-concept for using decision markets to select findings to replicate.

Replication effect sizes were 45% of original effect sizes.

www.nature.com/articles/s41...

19.11.2024 11:59 โ€” ๐Ÿ‘ 100    ๐Ÿ” 55    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 1

psa: likes are public here

18.11.2024 22:23 โ€” ๐Ÿ‘ 22    ๐Ÿ” 2    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 1
Make a hypothesis about what you expect to see, every step of the way. A manifesto: | Statistical Modeling, Causal Inference, and Social Science

Make a hypothesis about what you expect to see, every step of the way. A manifesto:
statmodeling.stat.columbia.edu/2024/11/13/m...

13.11.2024 14:28 โ€” ๐Ÿ‘ 16    ๐Ÿ” 6    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 1
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In these difficult times, it is worth remembering that the climate outlook, though dark, has improved over the last 10 years. We can change our course.

Source: www.economist.com/interactive/...

15.11.2024 09:13 โ€” ๐Ÿ‘ 615    ๐Ÿ” 156    ๐Ÿ’ฌ 23    ๐Ÿ“Œ 19

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