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@Jacob

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Since 31.05.2026

For VLA and robot-policy teams, where does raw data become training-ready?(reddit.com)
Hi all, I’m building a data-readiness platform that runs a raw-to-training-ready workflow for Physical AI teams. It starts with the messy middle after capture: robot video, sensor streams, logs, and kinematics that are not yet reliable training data. Euler combines visual and kinematic readiness checks with annotation and labeling, with the goal of taking a raw data slice toward a dataset for a specific policy. I’m conducting user interviews to gauge whether I'm heading in the right direction, because I do not want to build just another annotation platform. For teams training VLA or other robot policies, I’d really value a candid view on three questions: Is the harder problem knowing which data is usable, or annotating it once you know? Would a policy-aware workflow from raw capture to training-ready data be useful? What would make this meaningfully better than annotation software: readiness checks, visual plus kinematic context, curation, or something else? Project: https://sudotank.com/ I’m looking for honest pushback as much as interest. Thanks! submitted by /u/sennath [link] [Kommentare]
OmFest Interest Form(om.co)
Om loved putting on a good conference, and I’d like to celebrate his life with an awesome event on September 29, 2026 (his 60th) in San Francisco, like an OmFest. We’ll find a space where every community from the many facets of Om can come together. In the spirit of Open Source and co-creation, we can have some booths, flash talks, a gallery of his photography, pen showcase, and whatever other fun ideas people want to contribute. I can’t wait for the beautiful collision of his tech / journalism / Indian party planner / pen / coffee / shoes / photography circles, and probably some niches I couldn’t even imagine. — Ma.tt, All Roads Lead to Om