Joined September 2025
- Tweets 23
- Following 367
- Followers 54
- Likes 34
Photos and videos
Hasith Vattikuti retweeted
May 15
AI compute and inference are increasingly $$$. How can we change the unit economics of AI to improve accessibility? It's been fun working with @prlnet to release the first model endpoint that simultaneously generates tokens **and** a digital asset that can subsidize inference! 🪙 Check it out, links below 🚀
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Loved working on this project, super proud of it! Thank you @AwesomeBao, @bialjail, and @wgilpin0 for being such a great team that I learned so much from.
Excited to share our work at ICML!
May 1
Our ICML spotlight paper discovers universal redundancies in time series foundation models: the middle layers of many models can be removed without sacrificing performance 1/
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Hasith Vattikuti retweeted
Apr 17
We trained LoRA adapters of different ranks to understand training dynamics, finding that adapters for GSM8k live in a surprisingly vast, low-rank solution space.
This hints that some model skills are easy to learn, and training is more forgiving than we think. @hasith_v 1/6 🧵
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Hasith Vattikuti retweeted
Apr 15
Congratulations to @BaigYasa on his well-deserved selection as a PD Soros fellow!
Apr 15
Today, we announced the 2026 Fellows—we hope you will read their incredible stories and learn about their work! Selected from 3,000 applications, it was the most competitive year in our history.
pdsoros.org/meet-the-class-o…
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Hasith Vattikuti retweeted
We post-trained MedGemma to be SoTA in visual medicine ddx, outperforming Opus 4.6, Gemini 3.1 and GPT-5.4 while running at ~1/30th the cost. @getnolla Part 1 - improving visual reasoning 🧵1/6
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Hasith Vattikuti retweeted
Feb 25
How do time series foundation models forecast unseen dynamical systems? In new experiments, we find that small transformers learn to approximate transfer operators in-context. (1/N)
arxiv.org/abs/2602.18679
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Hasith Vattikuti retweeted
Feb 17
Soooo proud of this one! I'll make a post w more details shortly
Feb 17
What governs the geometry of time and space embeddings in LLMs?
We show it follows from translation symmetry in language statistics.
With Dhruva Karkada, @DanKorchinski, Andres Nava, @yasamanbb
arxiv.org/abs/2602.15029
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Great to see high quality software dev in comp bio. It still amazes me how much of computational biology is based on single-thread processing of large .txt files with minimal application-specific-optimization.
Jan 22
Arc bioinformatics scientists @noamteyssier and @a_dobin have just released cyto, an ultra-high throughput processor specifically optimized for @10xGenomics Flex single-cell data.
We are excited to make this resource open source: biorxiv.org/content/10.64898…
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