Mahi Shafiullah
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notmahi.bsky.social
Mahi Shafiullah
@notmahi.bsky.social
Building generally intelligent robots that *just work* everywhere, out of the box, at Berkeley AI Research (BAIR) and Meta FAIR.

Previously at NYU Courant, MIT and visiting researcher at Meta AI.

https://mahis.life/
If you don’t have the capacity to distinguish between what’s true and what’s not, your truths are just as incidental as your lies.
March 2, 2025 at 3:54 AM
Reading comprehension is an important but easily overlooked quality IMO
March 1, 2025 at 3:22 PM
This is super helpful for a non-sim person, thanks for the perspective!
December 21, 2024 at 12:05 AM
I agree, the paper could definitely be clearer. My assumption is “same training loop” ≈ “all else being equal”, but that can be totally incorrect.
December 5, 2024 at 11:56 PM
AFAIK it's the same dataset, they just use the larger pretrained model as the teacher model. Screenshot is from the DinoV2 paper section 5: arxiv.org/abs/2304.07193
December 5, 2024 at 10:43 PM
Dino-v2 is a good recent example in vision –
GitHub - facebookresearch/dinov2: PyTorch code and models for the DINOv2 self-supervised learning method.
PyTorch code and models for the DINOv2 self-supervised learning method. - facebookresearch/dinov2
github.com
December 5, 2024 at 6:46 PM
I wish it were only podcasts, I am seeing form steamrolling over content in academic papers more and more these days.
December 1, 2024 at 4:42 PM
👋
November 30, 2024 at 3:38 PM
Would like to be added!
November 28, 2024 at 11:49 AM
Reposted by Mahi Shafiullah
I collected some folk knowledge for RL and stuck them in my lecture slides a couple weeks back: web.mit.edu/6.7920/www/l... See Appendix B... sorry, I know, appendix of a lecture slide deck is not the best for discovery. Suggestions very welcome.
web.mit.edu
November 27, 2024 at 1:36 PM
We took a bunch of them in robot learning and made a tutorial about them! I tried to put everything that I find myself regularly telling my students there somewhere. Really think it can save some days to months of a new grad students’ life.

supervised-robot-learning.github.io
Supervised Policy Learning for Real Robots
RSS 2024 Tutorial on Supervised Policy Learning for Real Robots. Friday, July 19 Afternoon (2PM - 6PM Central European time, 8AM - 12AM Eastern Time).
supervised-robot-learning.github.io
November 27, 2024 at 1:23 PM