AI agents are starting to reshape science, from proposing novel hypotheses to writing code. Learn what comes next for scientists and policymakers.

The problem with AI may not be that machines are growing more intelligent. It may be that we are becoming increasingly skilled at amplifying a highly capable, but limited form of cognition.

Newly launched Vita is part of a broader government plan to give China a bigger say in what counts as high-quality science.

arXiv, and the scientific community at large, are facing a watershed moment. Scholarly publishing is currently changing at a rapid pace, and we are seeing a…

From a new NBER working paper: Whether AI assistance builds or erodes professional expertise is unsettled. In a pre-registered three-month randomized controlled trial, we gave 133 practicing patent…

Bank Phrom/Unsplash Studies produced by a suspected paper mill are frequently cited in patents, clinical guidelines and policy documents, according to a new analysis.  The work, posted on arXi…

What if the systems designed to protect scientific rigor are also making it harder for new ideas to emerge? Do different scholarly contributions deserve unique forms of evaluation?

Two rules keep an LLM from pasteurizing your writing: never take a word it suggests, and never let it encourage you. Then hand it all the tedious work.

Today's guest post challenges our community to face tendencies toward groupthink and address the incentive structures that resist adaptation and innovation.

Introduction Unsolicited emails from predatory journals offer a quick opportunity to produce a first author publication for a fee. With increasing emphasis on first author publications for…

Evoking emotions is more likely to prompt people to engage with climate efforts than are data alone.

For Peer Review Week 2026, we asked the Chefs two questions: What is one uncomfortable truth about peer review that the scholarly publishing community doesn’t talk about enough? And, beyond…

New framework provides practical, future-focused guidance for authors, reviewers and editors in an evolving AI landscape London | Berlin | New York |

AI is making science easier to access but harder to trust. Scientific literacy must catch up, writes Giulia Stefenelli

We should adapt AI to how extraverts and introverts think.

Initiatives to attract Indian researchers who are working abroad do not offer long-term income security, some scientists say.

Amid a shortage of human reviewers, tests indicate AI can assist—but is not a savior

OpenAI’s new Astra model will use “recurrent depth,” a technique that allows the model to operate outside of the sequential thinking that characterizes most reasoning models.

This is the opening of a novel that led to a four-way bidding war and a $3.5 million, two-book deal.

Generative AI can produce book-length works of fiction at near-zero cost. These books are often dismissed as low-quality ``slop'' that buyers will ignore, and are assumed to carry little commercial…

An interview with Henriette Thiesen, Publishing Director at Gyldendal and a Ludenso partner, part of Ludenso's series with leaders shaping educational publishing. The conversation explores what's at…

A personal note on hedging, boosters, and a change in the language of scientific writing.

Frontier models have converged. Stanford data shows top systems now score within 5% of each other. Oxylabs SVP Gediminas Rickevičius argues the competitive edge has shifted from model selection to…

Some thoughts on the reader response the Scholarly Kitchen has seen regarding AI use by authors, a recent Nature News article on the efficacy of AI detection tools, and why it's important to keep…

AI is empowering people to ask questions - but the wrong kind

In this AI era, establishing trust and validating article versions with persistent identifiers (PIDs) is more important than ever.

The study of paper mills and similar businesses operating in the market for academic and education fraud services is frustrated by the lack of market price data on their various offerings. Here, we…

Paper mill activity has exploded in recent years, polluting the scientific ecosystem with falsified data and compromising medical research

Elsevier’s International Journal of Biological Macromolecules has issued more than 100 retractions and counting for manipulated peer review in guest-edited special issues. The publisher has said on…

The figure, which is much higher than previous estimates of large-language-model use, is for papers published in December and archived in PubMed.

*This post was written with Claude. Every number and example was verified by a human against the live data. Unlike most scholarly databases, OpenAlex doesn’t start from journals. Other databases pick…

PID strategies are being written around the world right now, and the decisions being made will shape the scholarly record for decades. After 25 years running open scholarly infrastructure—now on…

London | Berlin | New York, 20 July 2026 Global data released in The State of AI Use Among Researchers, a new white paper from Springer Nature1,

A new field report shows how scientists use AI coding agents to modernize scientific computing, accelerating software development and discovery in genomics and beyond.

The technology is proving adept at finding faults in decades-old papers and reference databases.

Research suggests that the combination of incentives to publish and the use of large language models will lead to more papers, but they will be less refined.

Today's guest post warns the community that, in the AI era, we cannot keep building the pieces that lay the foundation and letting someone else own what gets built on top of it.

In an online discussion post, Alcorn State University history professor Dr. Jason Gibson posed a question that represented part of his students' midterm. It was about the...

Researchers say that transparent publishing practices could be associated with research quality, but more evidence is needed.

Project on peer-review platform Pubpeer aims to make replication studies more visible.

Study analysing submissions to elite titles finds scholars based in China, or who have Chinese-sounding names, struggle to get work past ‘gatekeepers’

More than half of AI “unicorns” have never published a paper or preprint

The integration of Large Language Models (LLMs) and Multimodal LLMs (MLLMs) into scientific peer-review workflows introduces novel and significant risks for adversarial manipulation, especially given…