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dipankarsarkar
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sebastientaylor's profile picture fromthesky's profile picture DualityAI-RebekahBogdanoff's profile picture
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https://www.dipankar.cc

AI & ML interests

Building the AI-native stack. Agents as infrastructure, safety as architecture, performance as plumbing. I publish the receipts: papers, datasets, demos.

Recent Activity

reacted to Bc-AI's post with ā¤ļø about 1 hour ago
SmilyAI Weekly Update Hello everyone, I have some unfortunate news to share with everyone. My earlier estimate for the launch of G1 in late October was inaccurate. We sincerely apologise for any inconvenience this may cause, but with our current compute resources, pretraining a 20B MoE model is not realistically possible within two months. G1-MINI will also be postponed, but not for nearly as long ā€” only by a few extra months. This is disappointing, as I know I was excited to launch G1, and I know many people were also watching the model and looking forward to it. However in my view, I would rather be honest about our limitations than be overly optimistic about something we currently cannot guarantee. G1 is not cancelled but uh it will be postponed indefinitely until I have the resources needed to train it. This could be next month, or it could take years. For now, I don't want to give another estimated launch date until I know we have the resources to actually make it happen. In the meantime, SmilyAI will continue developing AI and experimenting with new ideas, and we will provide updates as we go. Thank you for sticking with us and supporting SmilyAI. We will continue working towards better models in the future. Also, if you do have the hardware, to run it aka 8xH200s or better, my codebase is fully open under my very permissive license: i-have-no-idea-just-use-this. Basically, do whatever just mention me. https://huggingface.co/datasets/Bc-AI/train-g1/edit/main/train.py ā€” Bc-AI, on behalf of SmilyAI-Labs
reacted to branikita's post with šŸ”„ about 1 hour ago
SO-ARM 102 goes open source in the next few weeks. What's new: - A parallel gripper: the jaws stay parallel through the whole stroke instead of pivoting around the object as they close. - PET-CF instead of PLA+ for a much stiffer frame. - A topology-optimized structure. - Wider joint rotation and folding range. - STS3250 servos on the first shoulder joint. Compared with the SO-ARM 101, that adds up to 2.5x the payload, roughly 2x better positioning accuracy, roughly 1.6x the movement speed, and about 36 mm more reach. It runs on Hugging Face LeRobot, so the same tooling, training pipeline and tutorials for the SO-ARM 101 work on it from day one.
upvoted a paper about 1 hour ago
Group Adaptive Clipping Policy Optimization
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