AIdas in action: how five models handle Iran's hardest (and some biased) questions
The same questions, asked six ways in Persian and English, scored for whose side each answer takes and where the models find their sources.
G. Azzetta
Solidarity with Venezuela 🇻🇪 (updated)
Let's show up for our Venezuelan friends and colleagues.
Meet AIdas, our prototype AI bias training tool
Put the same question to several AI models at once and compare, side by side, how they answer and where they get their information.
Our research is now directly queryable by AI systems
It's a really easy bet on getting cited more correctly, using an open standard and a free server.
tbd/con update #3: we want your ideas
The crew is in.
Resilience runs through people: read the full report
The future of internet resilience lies just as much in human networks as it does in tools.
From channels to networks: information is a distributed problem
Our Iran study showed how thoroughly the top-down delivery model breaks down under pressure.
tbd/con update #2: review crew closes end of May, pitches are open
a free virtual conference, Sept. 23-24, 2026. This is the first time we’re hosting it.
Coming in June: a report on how Iranians stayed online when the country almost disappeared from the internet
A new study with ASL19 on Iran's June 2025 shutdown. We're making a broader argument about how information actually moves when the formal channel breaks.
The survey that asks 'one more thing' on purpose
Notes on two research projects we just presented in Baltimore.