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Greg Veramendi

@greg-veramendi.bsky.social

Labor economist. Assoc. Prof. at @RHULECON . previously experimental particle physicist @Fermilab . He/him/his gregveramendi.github.io

1,521 Followers  |  1,472 Following  |  60 Posts  |  Joined: 29.09.2023  |  1.9122

Latest posts by greg-veramendi.bsky.social on Bluesky

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I read @itsafronomics.bsky.social new book β€œThe Double Tax” this afternoon. It’s engaging and one of the best popular ways to bring social science to the public and policy that I’ve read in a long while. Black women are uniquely disadvantaged in our economy. 😍 she gave Janelle James her flowers!

17.09.2025 02:46 β€” πŸ‘ 68    πŸ” 16    πŸ’¬ 1    πŸ“Œ 1

Saying the quiet part out loud, again.

09.09.2025 20:59 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Please join me in signing and sharing:

27.08.2025 16:37 β€” πŸ‘ 5    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0

For Day 2 of our celebration of work using the Census Tree we highlight @lukestein.com & co's work on the gendered impacts of perceived skin tone. They find that among African Amer. sisters, women perceived to be darker-skinned were disadvantaged.

*They also cite a great QJE pub by Lisa Cook et al*

26.08.2025 14:25 β€” πŸ‘ 9    πŸ” 5    πŸ’¬ 0    πŸ“Œ 0
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SI 2022 Methods Lectures - Empirical Bayes Methods, Theory and Application

Another good place to start: www.nber.org/conferences/...

27.08.2025 10:05 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Worth a read if you don't already follow Phil. TLDR:

17.08.2025 16:51 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Conservative Man Proudly Frightened Of Everything FLOWER MOUND, TXβ€”Condemning the β€œwoke left” for what he called the β€œmodern evisceration of masculinity,” local conservative man Hank Daniels confirmed Monday that he was never going to stop being prou...

theonion.com/conservative...

15.08.2025 01:14 β€” πŸ‘ 206    πŸ” 27    πŸ’¬ 2    πŸ“Œ 2

what gif pops up when you type your name?

15.08.2025 08:46 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 1

Hey Luna, what do you mean when you say "i got too excited"?

07.08.2025 09:58 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Stable genius!

02.08.2025 20:11 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

"Young political vigilantes" have historically been very useful to dictatorships--from Berlin to Beijing--because they gleefully engage in mass violent destruction of social institutions whose value and purpose they do not understand.

Ex: Mao's Red Guard:
www.theguardian.com/world/2023/j...

01.08.2025 04:27 β€” πŸ‘ 134    πŸ” 47    πŸ’¬ 0    πŸ“Œ 0

i understand the american people on average not reading history books what with the failing education system etc but what the fuck is the university leadership's excuse

31.07.2025 11:59 β€” πŸ‘ 19    πŸ” 3    πŸ’¬ 3    πŸ“Œ 0
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πŸ“New @cepeo-ucl.bsky.social working paper

Why are students from elite high schools much more likely to go to high ranked university courses than equally qualified students from the state sector? πŸ€”

w @opmc1.bsky.social @lindseymacmillan.bsky.social & Jo Blanden

econpapers.repec.org/RePEc:ucl:ce...

30.07.2025 11:00 β€” πŸ‘ 16    πŸ” 6    πŸ’¬ 1    πŸ“Œ 3

When an English person shares how they feel about good news: "I feel, um, unnecessarily emotional about it."

from Thames Water documentary. Worth a watch.

19.07.2025 14:32 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

This πŸ‘‡

19.07.2025 14:21 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
UCAS pilots new reports to help teachers strengthen grade predictions and support student choice | UCAS

Recognising the growing difference between predicted grades and achieved grades over time, UCAS are piloting personalised reports to schools

These will show schools how their UCAS predicted grades compare to achieved results

www.ucas.com/corporate/ne...

14.07.2025 14:23 β€” πŸ‘ 5    πŸ” 1    πŸ’¬ 1    πŸ“Œ 2

Author of "One Long Night: A Global History of Concentration Camps"
πŸ‘‡

06.07.2025 12:18 β€” πŸ‘ 53    πŸ” 21    πŸ’¬ 1    πŸ“Œ 1
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I Randomly Decided To Pay Off A School’s Lunch Debt. Then Something Incredible Happened. β€œI immediately wondered if this was real.”

Great article on school lunch debt relief

www.huffpost.com/entry/utah-s...

02.07.2025 13:57 β€” πŸ‘ 15    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
Modern Day Oracles or Bullshit Machines? Seminar with Prof. Carl Bergstrom, University of Washington
YouTube video by UNSW eLearning Modern Day Oracles or Bullshit Machines? Seminar with Prof. Carl Bergstrom, University of Washington

Yesterday, @carlbergstrom.com presented his course "Modern-day Oracles or BS Machines? How to thrive in a ChatGPT world". Neat way to make students aware of the capacities and limitations of LLMsπŸ‘‡πŸŽ°

Recording: www.youtube.com/watch?v=TZC0...

Course: thebullshitmachines.com

@unswbabs.bsky.social

26.06.2025 04:11 β€” πŸ‘ 118    πŸ” 35    πŸ’¬ 20    πŸ“Œ 4
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Is it better to have standardised exams or teacher assessments?

Myself and my colleague @opmc1.bsky.social have read the literature so you don't have to. Our @iza.org world of labour summarises below #econsky

23.06.2025 11:57 β€” πŸ‘ 16    πŸ” 8    πŸ’¬ 1    πŸ“Œ 1

This study by MIT authors shows students using LLMs exhibit decreased cognitive activity. I admit that it is a small sample and confirms my priors. Lots of crazy shit happening atm, but this still worries me a lot as an educator and when thinking about the future. www.brainonllm.com

22.06.2025 18:29 β€” πŸ‘ 4    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Chatbots β€” LLMs β€” do not know facts and are not designed to be able to accurately answer factual questions. They are designed to find and mimic patterns of words, probabilistically. When they’re β€œright” it’s because correct things are often written down, so those patterns are frequent. That’s all.

19.06.2025 11:21 β€” πŸ‘ 29259    πŸ” 8575    πŸ’¬ 563    πŸ“Œ 694
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They Asked an A.I. Chatbot Questions. The Answers Sent Them Spiraling.

This is the third story I've read in a month about how AI chatbots are leading people into psychological crises.

Gift link

14.06.2025 02:45 β€” πŸ‘ 372    πŸ” 126    πŸ’¬ 18    πŸ“Œ 32

I wonder what this guy is thinking as he takes a potshot at a journalists. Where do they find people happy to violate their oath?

09.06.2025 10:06 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
The Illusion of Thinking:
Understanding the Strengths and Limitations of Reasoning Models
via the Lens of Problem Complexity
Parshin Shojaeeβˆ—β€  Iman Mirzadehβˆ— Keivan Alizadeh
Maxwell Horton Samy Bengio Mehrdad Farajtabar
Apple
Abstract
Recent generations of frontier language models have introduced Large Reasoning Models
(LRMs) that generate detailed thinking processes before providing answers. While these models
demonstrate improved performance on reasoning benchmarks, their fundamental capabilities, scal-
ing properties, and limitations remain insufficiently understood. Current evaluations primarily fo-
cus on established mathematical and coding benchmarks, emphasizing final answer accuracy. How-
ever, this evaluation paradigm often suffers from data contamination and does not provide insights
into the reasoning traces’ structure and quality. In this work, we systematically investigate these
gaps with the help of controllable puzzle environments that allow precise manipulation of composi-
tional complexity while maintaining consistent logical structures. This setup enables the analysis
of not only final answers but also the internal reasoning traces, offering insights into how LRMs
β€œthink”. Through extensive experimentation across diverse puzzles, we show that frontier LRMs
face a complete accuracy collapse beyond certain complexities. Moreover, they exhibit a counter-
intuitive scaling limit: their reasoning effort increases with problem complexity up to a point, then
declines despite having an adequate token budget. By comparing LRMs with their standard LLM
counterparts under equivalent inference compute, we identify three performance regimes: (1) low-
complexity tasks where standard models surprisingly outperform LRMs, (2) medium-complexity
tasks where additional thinking in LRMs demonstrates advantage, and (3) high-complexity tasks
where both models experience complete collapse. We found that LRMs have limitations in exact
computation: they fail to use explicit …

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity Parshin Shojaeeβˆ—β€  Iman Mirzadehβˆ— Keivan Alizadeh Maxwell Horton Samy Bengio Mehrdad Farajtabar Apple Abstract Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed thinking processes before providing answers. While these models demonstrate improved performance on reasoning benchmarks, their fundamental capabilities, scal- ing properties, and limitations remain insufficiently understood. Current evaluations primarily fo- cus on established mathematical and coding benchmarks, emphasizing final answer accuracy. How- ever, this evaluation paradigm often suffers from data contamination and does not provide insights into the reasoning traces’ structure and quality. In this work, we systematically investigate these gaps with the help of controllable puzzle environments that allow precise manipulation of composi- tional complexity while maintaining consistent logical structures. This setup enables the analysis of not only final answers but also the internal reasoning traces, offering insights into how LRMs β€œthink”. Through extensive experimentation across diverse puzzles, we show that frontier LRMs face a complete accuracy collapse beyond certain complexities. Moreover, they exhibit a counter- intuitive scaling limit: their reasoning effort increases with problem complexity up to a point, then declines despite having an adequate token budget. By comparing LRMs with their standard LLM counterparts under equivalent inference compute, we identify three performance regimes: (1) low- complexity tasks where standard models surprisingly outperform LRMs, (2) medium-complexity tasks where additional thinking in LRMs demonstrates advantage, and (3) high-complexity tasks where both models experience complete collapse. We found that LRMs have limitations in exact computation: they fail to use explicit …

If I have time I'll put together a more detailed thread tomorrow, but for now, I think this new paper about limitations of Chain-of-Thought models could be quite important. Worth a look if you're interested in these sorts of things.

ml-site.cdn-apple.com/papers/the-i...

08.06.2025 06:35 β€” πŸ‘ 334    πŸ” 65    πŸ’¬ 17    πŸ“Œ 9

@luhrmann.bsky.social @absidd.bsky.social @gafap.bsky.social

07.06.2025 17:00 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

@causalinf.bsky.social @pfallesen.bsky.social @paulhufe.net @pietrobiroli.bsky.social

07.06.2025 16:47 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Postdoctoral Research Associate in Youth Mental Health at Royal Holloway, University of London Discover an exciting academic career path as a Postdoctoral Research Associate in Youth Mental Health at jobs.ac.uk. Don't miss out on this job opportunity - apply today!

I am happy to share a 3-year postdoc opening. My fantastic colleagues @kailirimfeld.bsky.social and Dan Anderberg recently won a grant to work on youth mental health at the intersection of psychology, genetics, and education. It is open to economics PhDs, among other fields. #EconSky #econ_ra

07.06.2025 16:39 β€” πŸ‘ 18    πŸ” 12    πŸ’¬ 2    πŸ“Œ 1

This is such a great demonstration of how LLMs function.

04.06.2025 08:07 β€” πŸ‘ 4    πŸ” 0    πŸ’¬ 1    πŸ“Œ 1
Gen Z Doesn't Want to Start a Bar Tab

Gen Z Doesn't Want to Start a Bar Tab

Above the fold at

The Guardian: Ukraine launches major drone attack against Russian bombers

Wall Street Journal: Breaking
FBI Investigating Possible Terror Attack in Boulder, Colorado

New York Times:

01.06.2025 23:23 β€” πŸ‘ 394    πŸ” 68    πŸ’¬ 20    πŸ“Œ 4

@greg-veramendi is following 20 prominent accounts