Chris Leonard

Something big is happening in AI — and most people will be blindsided | Fortune It’s not like a light switch... more like the moment you realize the water has been rising around you and is now at your chest.

This piece really nails how I have been feeling in the last couple of weeks. fortune.com/2026/02/11/s...

Can you justify using (and paying for) a service that generates a ready to submit paper with just one prompt?
🧵

Terrifying that such powerful people have mad and dangerous religious extremist views.

Ahhh you mean you. I was wondering if I’d missed the launch of Nestle’s Honey Coutts.

Greenland and Denmark should sell it to China.

We've got ISSUES. Literally.

We scraped >100k special issues & over 1 million articles to bring you a PISS-poor paper. We quantify just how many excess papers are published by guest editors abusing special issues to boost their CVs. How bad is it & what can we do?

arxiv.org/abs/2601.07563

A 🧵 1/n

I guess we’ll see a few years whether this wouldn’t happen in the uk too. A scenario where we had a Prime Minister Farage would be a test of our laissez-faire attitude to politicians. But I fear we’d be exactly the same.

To bring in the New Year, here's a proposal for external regulation of academic publishing, through a voluntary system of journal certification to the ISO 9001 quality management standard. 🧪 #ResearchIntegrity (1/2) www.nature.com/articles/d41...

Closing out my year with a journal editor shocker 🧵

Checking new manuscripts today I reviewed a paper attributing 2 papers to me I did not write. A daft thing for an author to do of course. But intrigued I web searched up one of the titles and that's when it got real weird...

Scopus tracks your submissions???

Wow Amazon prime video sucks. I pay for Prime, and then I get to watch stuff packed with adverts?

A table showing profit margins of major publishers. A snippet of text related to this table is below. 1. The four-fold drain 1.1 Money Currently, academic publishing is dominated by profit-oriented, multinational companies for whom scientific knowledge is a commodity to be sold back to the academic community who created it. The dominant four are Elsevier, Springer Nature, Wiley and Taylor & Francis, which collectively generated over US$7.1 billion in revenue from journal publishing in 2024 alone, and over US$12 billion in profits between 2019 and 2024 (Table 1A). Their profit margins have always been over 30% in the last five years, and for the largest publisher (Elsevier) always over 37%. Against many comparators, across many sectors, scientific publishing is one of the most consistently profitable industries (Table S1). These financial arrangements make a substantial difference to science budgets. In 2024, 46% of Elsevier revenues and 53% of Taylor & Francis revenues were generated in North America, meaning that North American researchers were charged over US$2.27 billion by just two for-profit publishers. The Canadian research councils and the US National Science Foundation were allocated US$9.3 billion in that year.

A figure detailing the drain on researcher time. 1. The four-fold drain 1.2 Time The number of papers published each year is growing faster than the scientific workforce, with the number of papers per researcher almost doubling between 1996 and 2022 (Figure 1A). This reflects the fact that publishers’ commercial desire to publish (sell) more material has aligned well with the competitive prestige culture in which publications help secure jobs, grants, promotions, and awards. To the extent that this growth is driven by a pressure for profit, rather than scholarly imperatives, it distorts the way researchers spend their time. The publishing system depends on unpaid reviewer labour, estimated to be over 130 million unpaid hours annually in 2020 alone (9). Researchers have complained about the demands of peer-review for decades, but the scale of the problem is now worse, with editors reporting widespread difficulties recruiting reviewers. The growth in publications involves not only the authors’ time, but that of academic editors and reviewers who are dealing with so many review demands. Even more seriously, the imperative to produce ever more articles reshapes the nature of scientific inquiry. Evidence across multiple fields shows that more papers result in ‘ossification’, not new ideas (10). It may seem paradoxical that more papers can slow progress until one considers how it affects researchers’ time. While rewards remain tied to volume, prestige, and impact of publications, researchers will be nudged away from riskier, local, interdisciplinary, and long-term work. The result is a treadmill of constant activity with limited progress whereas core scholarly practices – such as reading, reflecting and engaging with others’ contributions – is de-prioritized. What looks like productivity often masks intellectual exhaustion built on a demoralizing, narrowing scientific vision.

A table of profit margins across industries. The section of text related to this table is below: 1. The four-fold drain 1.1 Money Currently, academic publishing is dominated by profit-oriented, multinational companies for whom scientific knowledge is a commodity to be sold back to the academic community who created it. The dominant four are Elsevier, Springer Nature, Wiley and Taylor & Francis, which collectively generated over US$7.1 billion in revenue from journal publishing in 2024 alone, and over US$12 billion in profits between 2019 and 2024 (Table 1A). Their profit margins have always been over 30% in the last five years, and for the largest publisher (Elsevier) always over 37%. Against many comparators, across many sectors, scientific publishing is one of the most consistently profitable industries (Table S1). These financial arrangements make a substantial difference to science budgets. In 2024, 46% of Elsevier revenues and 53% of Taylor & Francis revenues were generated in North America, meaning that North American researchers were charged over US$2.27 billion by just two for-profit publishers. The Canadian research councils and the US National Science Foundation were allocated US$9.3 billion in that year.

The costs of inaction are plain: wasted public funds, lost researcher time, compromised scientific integrity and eroded public trust. Today, the system rewards commercial publishers first, and science second. Without bold action from the funders we risk continuing to pour resources into a system that prioritizes profit over the advancement of scientific knowledge.

We wrote the Strain on scientific publishing to highlight the problems of time & trust. With a fantastic group of co-authors, we present The Drain of Scientific Publishing:

a 🧵 1/n

Drain: arxiv.org/abs/2511.04820
Strain: direct.mit.edu/qss/article/...
Oligopoly: direct.mit.edu/qss/article/...

Apple Cider Vinegar For Weight Loss - A Study That May Never Have Happened At All Some fascinating insights into the world of scientific integrity.

The importance of scientific sleuthing (although, why was this paper published at all?)

Apple Cider Vinegar For Weight Loss - A Study That May Never Have Happened At All open.substack.com/pub/gidmk/p/...

Shared Knowledge, Shared Impact: A New Era for Research Evaluation | Editage Insights This Open Access Week, experts explore how the research community can move beyond journal impact factors to measure real-world, community-driven impact through openness and equity.

EASE have contributed to an @editageinsights.bsky.social article for #OpenAccessWeek

Read comments from @ivagaeditor.bsky.social, @dnjournals.bsky.social @roohighosh.bsky.social @rachinams.bsky.social and @hoohar.bsky.social on the meanings of community impact

www.editage.com/insights/ope...

Mathematical discovery in the age of artificial intelligence - Nature Physics In this comment, we consider how artificial intelligence tools are reshaping the way mathematical research is conducted and discuss how future developments of this technology will transform mathematical practice.

Mathematical discovery in the age of artificial intelligence

They consider how artificial intelligence tools are reshaping the way mathematical research is conducted and discuss how future developments of this technology will transform mathematical practice.

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

Statistics in the era of AI How do we mentor, teach, and do stats when AI can do so much of the work?

Y'all. I just got ChatGPT to do everything in R for this manuscript. I mean EVERYTHING. And it's all legit and reproducible. I'm shook.

How are we mentoring our trainees in statistics now? Who needs to learn coding in R line by line, and who doesn't?

scienceforeveryone.science/statistics-i...

My co-author Lennart Meincke had GPT-5 Pro look over a paper before we submitted it to a journal. It caught a tiny error in the citations that we missed (apparently it estimated the volume)

A big difference from constant hallucinations, especially GPT5 Pro; though not error-free.

In general I think it's hard to combat scientific misinformation when some of the best research is locked behind an academic paywall, while lots of nonsense gets published free for everyone to read in predatory journals.

This is why I say patience is key when working with language models. If the output is directionally correct, or even just wrong in an interesting way, let it keep iterating and see where it goes!

scottaaronson.blog?p=9183

The cover makes me want to read this .

We need new rules for publishing AI-generated research. The teams developing automated AI scientists have customarily submitted their papers to standard refereed venues (journals and conferences) and to arXiv. Often, acceptance has been treated as the dependent variable. 1/

Evaluating the visual design of science publications—a quantitative approach comparing legitimate and predatory journal papers - Scientometrics The rise of predatory publishing poses a significant challenge to the integrity of scientific research, potentially undermining the credibility of scholarly communications. As parts of the academic co...

#PredatoryJournals just look different.

But the biggest difference in #GraphicDesign was that PDFs from legitimate journals were much more likely to be made with Adobe apps.

PDFs from predatory journals much more likely to be made with Microsoft Office.

doi.org/10.1007/s111...

A variation of the "Epic Handshake" meme from the 1987 sci-fi movie Predator, showing a close-up of four men (instead of the original 2) greeting each other with an arm-wrestle handshake. Each arm is labeled with the following text: - Blind and vision-impaired people - People with temporarily impaired vision - People with slow internet connection - People wondering WTF they're looking at The words "alt text" are shown in the center where all four hands meet.

Everyone wins!

#AltText #accessibility

Partnership Alert!

Cactus Communications has partnered with CSIRO Publishing, Australia’s leading science publisher, to support authors with access to expert language and writing services through our flagship brand, Editage.

Read the full announcement here: cactusglobal.com/media-center...

Guest Post – Code Plagiarism and AI Create New Challenges for Publishing Integrity - The Scholarly Kitchen This post explores author, reviewer, and publisher ethics and responsibilities related to the use of AI in coding and publishing research software.

Guest Post – Code Plagiarism and AI Create New Challenges for Publishing Integrity - The Scholarly Kitchen

Authors could perform their own AI peer review before submitting to correct obvious errors/omissions and refine their arguments.

I'm going to be in Chicago the first week of September - come and find me and talk peer review, the ethics & implementation of AI, and turning submission backlogs into $$$.

💯 This is exactly what I've been trying to say in like 100 workshops and videos on research posters.

State a conclusion, then defend it.

Versus working up to it over 500 words that people won't spend the time to read.

My conclusion from this is that preprint servers (and journals!) are entering a new phase of cat and mouse trying to contain AI slop (n.b., not mundane AI use, but nonsense generation). Peer review as a filter scarcely does better to ID this stuff. We need new & better tools to ID trustworthy works.

Amazingly this is a Stock Aitken Waterman production.