IMF Warns of Systemic Risk

Scholar power: 118.8%

Story's scientific field profile

Economics 60%, Business 30%, Political science 10%

Name	Field match	H-index	Scholar power
🎓 International Monetary Fund	56%	50	118.8%

Formula for scholar power: 3 × author's field match × √author's h-index

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

54.0%

9.8 h

28

118.8%

Ranking score

0.535

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

by Prem Sikka

64%

Scholar power: 64.7%

Story's scientific field profile

Economics 60%, Business 30%, Political science 10%

Name	Field match	H-index	Scholar power
🎓 Prem Sikka	35%	38	64.7%

Formula for scholar power: 3 × author's field match × √author's h-index

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

47.0%

18.2 h

197

64.7%

Ranking score

0.29

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

Reposted by Andrea Presbitero

36%

Scholar power: 36.0%

Story's scientific field profile

Economics 60%, Business 30%, Political science 10%

Name	Field match	H-index	Scholar power
🎓 Andrea Presbitero	60%	36	36.0%

Formula for scholar power: sum of each reposter's field match × √reposter's h-index

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

49.0%

11.4 h

1

36.0%

Ranking score

0.036

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

by International Monetary Fund

118%

Scholar power: 118.8%

Story's scientific field profile

Economics 60%, Business 30%, Political science 10%

Name	Field match	H-index	Scholar power
🎓 International Monetary Fund	56%	50	118.8%

Formula for scholar power: 3 × author's field match × √author's h-index

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

50.0%

10.5 h

39

118.8%

Ranking score

0.386

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

Reposted by Rodney Fort

25%

Scholar power: 25.1%

Story's scientific field profile

Economics 60%, Business 30%, Political science 10%

Name	Field match	H-index	Scholar power
🎓 Rodney Fort	45%	31	25.1%

Formula for scholar power: sum of each reposter's field match × √reposter's h-index

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

46.0%

8.4 h

2

25.1%

Ranking score

0.034

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

SIEPR

@siepr.bsky.social

Is #AI the century's third speculative bubble? Yes, say SIEPR's @jaredb-econ.bsky.social and @weakinstrument.bsky.social in a @nytimes.com op-ed. They lay out the reasons and examine whether the fallout could be better or worse than the internet, housing bursts. Free link 👇

tinyurl.com/nhjcm62v

Opinion | The A.I. Bubble Looks Real

The A.I. boom is likely a speculative bubble. Like the dot-com bust and the housing crisis, its pop is going to hurt.

tinyurl.com

2 1

by Patrick Dunleavy

20%

Scholar power: 20.3%

Story's scientific field profile

Economics 60%, Business 30%, Political science 10%

Name	Field match	H-index	Scholar power
🎓 Patrick Dunleavy	10%	46	20.3%

Formula for scholar power: 3 × author's field match × √author's h-index

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

57.0%

11.2 h

2

20.3%

Ranking score

0.032

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

Patrick Dunleavy

@patrickdunleavy.bsky.social

IMF - “Excessively optimistic growth expectations about AI could be revised in light of incoming data from early adopters and could trigger a market correction…
A potential bust of the AI boom could rival the dot-com crash of 2000–01 in severity".
www.bbc.co.uk/news/article...