Sireesh Gururaja
PhD student @ltiatcmu.bsky.social. Working on NLP that centers worker agency. Otherwise: coffee, fly fishing, and keeping peach pits around, for...some reason
https://siree.sh
- This is a real banger of a paper. The example of a model being weirdly focused on jasmine (lol) makes me increasingly think that single-point-of-access models don't really consider who their audience is. Jasmine is a super legible cultural marker for people outside, but is so, _so_ generic.
- 🎭 How do LLMs (mis)represent culture? 🧮 How often? 🧠 Misrepresentations = missing knowledge? spoiler: NO! At #CHI2026 we are bringing ✨TALES✨ a participatory evaluation of cultural (mis)reps & knowledge in multilingual LLM-stories for India 📜 arxiv.org/abs/2511.21322 1/10
- Reposted by Sireesh Gururaja[Not loaded yet]
- extremely on brand, love this town
- Reposted by Sireesh GururajaBest use of this meme i’ve ever seen
- Another trip to Bangalore, another time that Google Maps (but no other Google service) turns itself Indian accented and maybe can't be turned back? 🤔
- This is very millennial of me, but I really want a buzzfeed-style article summarizing the gas town discourse
- This is a really interesting paper, and there's an interesting structural angle to the narrowing of focus. ML approaches involve building an infrastructure - data, models, etc. Once that infra exists, it's easy to apply it to similar problems - leading to the kind of clustering described here...
- "We should keep build-and-test empiricism—its speed, openness, and compounding progress are real achievements—but we should supplement it with a second language of empiricism that lets us state and evaluate claims with more precision."
- In a new blog post, I contrast two flavors of empiricism: the one practiced in the social sciences and the one practiced in ML/CS. I argue that we need both, given that CS is increasingly about "claims," and not just constructing artifacts. doomscrollingbabel.manoel.xyz/p/the-empiri...
- Reposted by Sireesh GururajaResearchers: Aside from moderation and safety features, what would you want in a researcher-focused social app? Obviously a feed of shared papers, but what else?
- Reposted by Sireesh GururajaThe two hardest problems in Computer Science are 1. Human communication 2. Getting people in tech to believe that human communication is important
- This is an excellent piece on the way that a culture of repurposed and thin measurement has really warped what it means to do science. The risk of AI here is not just intensifying the use of these metrics, but reifying those flawed standards into systems that make the culture harder to change.
- As a PhD student in computer science, the kind of knowledge production that is being "innovated" away here is exactly what departments like mine could use a lot more of. This is a real loss for CMU.
- No one wants to watch their PhD program be eliminated. It’s nearly the same story when it’s “innovated” away. Me & @seeshespeak.bsky.social in the Chronicle. Read it below ⬇️ www.chronicle.com/article/a-co...
- "the constraint is the feature" is an excellent way to put this. General purpose tools are only general purpose until you use them for something!
- New post: The Electric Motor and the Drill LLM chat bots are like electric motors: can do anything, bad at everything. The problem is UI/UX. AI should be more like power tools. I built a science planner around this philosophy. 10,000 scientists use it now. open.substack.com/pub/kording/...
