Jimmy Lin
@lintool
I profess CS-ly at @UWaterloo. Previously, I monkeyed code for @Twitter, slides for @Cloudera, and scienced for @yupp_ai.
I always tell this joke in my classes about IR, and it goes something like: well, short of inventing telepathic retrieval, we remain stuck with some form of query formulation, be it a few keywords (before) or a prompt (now)... little did I know... 😜Two weeks ago, I resigned from OpenAI to join Conduit as a founding researcher, where we're training models to non-invasively read the human mind. I've written some thoughts about what telepathy could look like by 2035 and how to get there:- 🪠 Belatedly plugging a paper that attempts to bridge information nuggets and side-by-side comparisons with @arena data for complex LLM responses (tl;dr - pointwise vs. pairwise evaluations) dl.acm.org/doi/10.1145/38… Paper led by @Sahel_Sharify @Ushivani3 @beirmug!
- This was fun. Humans need powerful search tools, but even exact-match Boolean queries can work for agentic search. Our Boolean ranking uses only match proximity and density. No learning, vectors, or even term statistics required. arxiv.org/pdf/2607.11362
