Germany quadruples AI capacity, lagging

Scholar power: 29.7%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Margaret Mitchell	14%	50	29.7%

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

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

47.0%

4.8 h

37

29.7%

Ranking score

0.175

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

Margaret Mitchell

@mmitchell.bsky.social

Love the phrases "Cognitive Cost" and "Executive Function Theft" to pinpoint how exhausting it is to be constantly bombarded with apps telling you to use AI. I've been calling it "Corporate pressure" and "Force feeding". It's quite a lot right now. Seems a bit desperate tbh.

Abigail Goben @hedgielib.bsky.social · 5h

The #ExecutiveFunctionTheft of having to opt out.

Emily M. Bender @emilymbender.bsky.social · 5h

Feeling annoyed at the cognitive cost of having to dismiss all the offers of "AI" assitance every time I use Acrobat to provide feedback on documents my students wrote. (NO I do NOT want an "AI" summary of this. In what world???)

Decided to check settings:

November 10, 2025 at 6:53 PM

Reposted by Julie L. Lockwood

10%

Scholar power: 10.6%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Julie L. Lockwood	14%	57	10.6%

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

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

61.0%

4.5 h

43

10.6%

Ranking score

0.167

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

molly taft

@mollytaft.com

new from me today: not all data centers are created environmentally equal — and building them in states with cleaner grids and more access to water could go a long way in preventing environmental catastrophe

If the US Has to Build Data Centers, Here’s Where They Should Go

A new analysis tries to calculate the coming environmental footprint of AI in the US and finds that the ideal sites for data centers aren’t where they’re being built.

www.wired.com

November 10, 2025 at 7:11 PM

by Serge Belongie

45%

Scholar power: 45.9%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Serge Belongie	15%	104	45.9%

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

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

45.0%

6.3 h

1

45.9%

Ranking score

0.058

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

Serge Belongie

@serge.belongie.com

Interview from last week’s AI in Science summit in Copenhagen ais25.eu

Europe’s Win and Worry with Artificial Intelligence

Launch of RAISE – the Resource for AI Science in Europe.

www.sciencestories.dk

November 10, 2025 at 5:26 PM

Reposted by Matthew E. Kahn

5%

Scholar power: 5.9%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Matthew E. Kahn	8%	54	5.9%

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

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

48.0%

3.3 h

4

5.9%

Ranking score

0.027

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

by Michael J. Hicks

1%

Scholar power: 1.3%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Michael J. Hicks	1%	18	1.3%

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

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

54.0%

4.2 h

2

1.3%

Ranking score

0.025

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

Michael Hicks

@profhicks.bsky.social

My newest post on the local labor market effects of Data Centers . . .

#DataCenters @profweinstein.bsky.social

michaeljhicks.substack.com/p/data-cente...

November 10, 2025 at 7:27 PM

Reposted by Nuria Oliver

6%

Scholar power: 6.6%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Nuria Oliver	9%	53	6.6%

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

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

56.0%

23.4 h

98

6.6%

Ranking score

0.021

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

Reposted by Avi Goldfarb

1%

Scholar power: 1.5%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Avi Goldfarb	2%	56	1.5%

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%

9.7 h

37

1.5%

Ranking score

0.015

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

Reposted by Mark Graham, Prokla Redaktion

0%

Scholar power: 0.9%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Mark Graham	2%	19	0.9%
🎓 Prokla Redaktion	-	6	-
Total			0.9%

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

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

56.0%

15.0 h

41

0.9%

Ranking score

0.013

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

Nina Scholz

@ninascholz.bsky.social

KI klingt nach Zukunft – aber sie lebt von menschlicher, unsichtbarer Arbeit. Ich habe für @freitag.de mit @geoplace.bsky.social über sein Buch „Feeding the Machine“ gesprochen – und darüber, was KI wirklich kostet. Leseempfehlung für alle, die hinter die Kulissen der "KI-Unternehmen" schauen wollen

„Die Arbeitsbedingungen sind brutal“: Über die geheimen Malocher hinter ChatGPT

Hinter jedem KI-Bild steckt Handarbeit: Menschen in Kenia, Indien oder auf den Philippinen schuften stundenlang für Hungerlöhne, um Maschinen klüger zu machen. Im Gespräch enthüllt Mark Graham die uns...

www.freitag.de

November 10, 2025 at 8:39 AM

Reposted by Dean Baker

0%

Scholar power: 0.5%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Dean Baker	1%	21	0.5%

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%

13.0 h

203

0.5%

Ranking score

0.012

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

Reposted by Robb Willer

0%

Scholar power: 0.0%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Robb Willer	0%	54	0.0%

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

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

48.0%

9.1 h

23

0.0%

Ranking score

0.012

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

by Daniel J. Solove

0%

Scholar power: 0.0%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Daniel J. Solove	0%	30	0.0%

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

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

46.0%

6.7 h

1

0.0%

Ranking score

0.011

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

Daniel Solove

@daniel-solove.bsky.social

“AI is trained based on a massive taking of people’s data without consent, oversight, limitation, or any consideration of the harms it might create.” – from “The Great Scrape” FINAL PUBLISHED ARTICLE papers.ssrn.com/sol3/papers....

November 10, 2025 at 4:57 PM

by Kate Jackson

4%

Scholar power: 4%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Kate Jackson	-	7	-

Kate Jackson

@katejackson.bsky.social

Can't get the government to promise to bail out AI? Well, entangle AI in Wall Street so much that the government will be forced to bail out both to preserve...the financial system itself.

Jacob Rosenberg @jacobrosenberg.bsky.social · 7h

This is insane. This is *literally* doing the same mechanics of the housing crisis and 2008 recession but to create debt to finance construction of AI data centers

www.nytimes.com/2025/11/08/b...

November 10, 2025 at 5:17 PM

by Libby Robin

15%

Scholar power: 15.1%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Libby Robin	11%	21	15.1%

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

Ranking score inputs

Relevance

Recency

Reposts

Scholar power

51.0%

20.9 h

0

15.1%

Ranking score

0.009

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

Libby Robin

@libbydeq.bsky.social

There is also something about outsourced AI billing systems. Greater Western Water and the Melbourne Museum have now gone well over half a year late with "new systems". I don't want monthly apologies for this. Just get a human system. It's astonishing how consultants stall ... and charge for this!

November 10, 2025 at 2:50 AM

Reposted by Kate Jackson

1%

Scholar power: 1%

Story's scientific field profile

Energy 32%, Environmental science 23%, Computer science 18%, Engineering 14%, Geography 9%

Name	Field match	H-index	Scholar power
🎓 Kate Jackson	-	7	-

Jacob Rosenberg

@jacobrosenberg.bsky.social

This is insane. This is *literally* doing the same mechanics of the housing crisis and 2008 recession but to create debt to finance construction of AI data centers

www.nytimes.com/2025/11/08/b...

November 10, 2025 at 4:19 PM

Light upyour news

Germany quadruples AI capacity, lagging

Scholar power: 29.7%

Scholar power: 10.6%

Scholar power: 45.9%

Scholar power: 5.9%

Scholar power: 1.3%

Scholar power: 6.6%

Scholar power: 1.5%

Scholar power: 0.9%

Scholar power: 0.5%

Scholar power: 0.0%

Scholar power: 0.0%

Scholar power: 4%

Scholar power: 15.1%

Scholar power: 1%

Sign in to Lightnews

Sign up to start reading

Connect Bluesky

Connect with Bluesky

Light up
your news