that's a wrap on tbd/con! 👾
woohoo!
G. Azzetta
This was tbd/con
30 sessions across information, practice, thought and the garage.
The engine behind the answer: our updated audit of how AI models handle Iran in Persian
Earlier this year we published on how AI models source and frame Persian-language answers about Iran. Here's how our understanding of the testing infrastructure has evolved since then.
tbd/con update #4: meet the review crew
Keep the pitches coming.
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.
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.
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.