Ground the model, or it invents the evidence arXiv now bans authors for unchecked LLM output. The real fix is trusted, curated, subject-specific models rather than more policy.
Preprints.ai: How Much of Peer Review Can We Automate? A large share of peer review is mechanical checking. Preprints.ai tests how much of it can be scored automatically, at preprint scale.
Have we already hit the peer review breaking point? Notes from the Royal Society's Future of Scientific Publishing: what does review look like when every paper is AI-generated or co-authored?
Innovating Academia From The Outside - The Web3 Solution to Academia’s Peer Review Problem ResearchHub pays for peer review in crypto. That terrifies plenty of researchers, but the rate of innovation on the platform is hard to ignore.
Open Access: Mo money, mo problems From discovering PLOS ONE in a stem cell lab to today's article processing charges: how Open Access got expensive, and what that cost us.
OpenResearch WTF - February 2024 February 2024: eLife's new model one year on with 6,200 submissions and 1,300 reviewed preprints, plus the launch of TL;DR Shorts.
All of the knowledge for all of the machines Two slow revolutions in publishing, blurred peer review and universal Open Access, decide what machines can legally read and actually trust.
Why fast but good publishing matters If we are to enter the world of fast and good academic publishing, we need a dataset curation model that scales.