Our new paper in #PNAS (bit.ly/4fcWfma) presents a surprising finding—when words change meaning, older speakers rapidly adopt the new usage; inter-generational differences are often minor.

w/ Michelle Yang, ‪@sivareddyg.bsky.social‬ , @msonderegger.bsky.social‬ and @dallascard.bsky.social‬👇(1/12)

Started a new podcast with @tomvergara.bsky.social !

Behind the Research of AI:
We look behind the scenes, beyond the polished papers 🧐🧪

If this sounds fun, check out our first "official" episode with the awesome Gauthier Gidel
from @mila-quebec.bsky.social :

open.spotify.com/episode/7oTc...

Overall I loved the paper, got lots of inspiration from it and would love to be part of a similar project in the future: for example an empirical investigation of many AI papers to answer "To what extent is AI is a science?"

Models like DeepSeek-R1 🐋 mark a fundamental shift in how LLMs approach complex problems. In our preprint on R1 Thoughtology, we study R1’s reasoning chains across a variety of tasks; investigating its capabilities, limitations, and behaviour.
🔗: mcgill-nlp.github.io/thoughtology/

Instruction-following retrievers can efficiently and accurately search for harmful and sensitive information on the internet! 🌐💣

Retrievers need to be aligned too! 🚨🚨🚨

Work done with the wonderful Nick and @sivareddyg.bsky.social

🔗 mcgill-nlp.github.io/malicious-ir/
Thread: 🧵👇

Agents like OpenAI Operator can solve complex computer tasks, but what happens when users use them to cause harm, e.g. spread misinformation?

To find out, we introduce SafeArena (safearena.github.io), a benchmark to assess the capabilities of web agents to complete harmful web tasks. A thread 👇

After a fun and long #EMNLP2024 I'm now travelling AGAIN to Uppsala 🇸🇪, to speak at the Transdisciplinary Queer Futures of AI Conference! Any Sweden/Uppsala recs?