Blog
Insights, commentary, and updates from the replication community.
The AI Replication Engine V2: Reading the Page, Mapping the Literature
V2 of the AI Replication Engine reads papers with a vision-language model to recover the reported quantities our text-layer parser was missing, and writes engine output into a knowledge graph linking papers by shared data, shared code, and shared failure modes.
August 3, 2026 · Bruno Barbarioli
Replication Comes with Responsibility
On the most important safeguard in replication
August 2, 2026 · Lenka Fiala
A Week in Barcelona - and a Reminder Not to Work Alone
Work from home vs work in person: reflections from Barcelona
July 22, 2026 · Juan P. Aparicio
The Bermuda Triangle of Open Science: Where Data and Code Disappear
Somewhere between the author's hard drive, the journal's editorial pipeline, and the repository link in the availability statement lies a kind of Bermuda Triangle: a region into which promised data and code enter and are never seen again.
July 20, 2026 · Ghina Abdul Baki
Coding Errors as Cause or Effect
Reflection on coding discrepancies (errors).
July 7, 2026 · Derek Mikola
The conversation we all seem to be having right now
A brief collection of perspectives on knowledge work and 'AI'
June 22, 2026 · Luna Fazio
Replication Soundtrack vol. 1
A fun look back at the Utrecht Replication Games
June 15, 2026 · Lenka Fiala
The AI Replication Engine: Inside the Benchmark Behind the Beta
A new paper, currently under peer review, tests the Engine on 74 economics and political-science papers across three distinct verification tasks, using two frontier models (GPT-5.5 and Claude Opus 4.7).
June 10, 2026 · Bruno Barbarioli