
Jonathan Scholz
@JonathanScholz2
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Joined September 2018
I’ve been looking forward to seeing what @peteflorence and @andyzeng_ would cook up ever since they left DM last spring, and they did not disappoint!. These are some of the prettiest behaviours I’ve seen from a robot yet.
Today we're excited to share a glimpse of what we're building at Generalist. As a first step towards our mission of making general-purpose robots a reality, we're pushing the frontiers of what end-to-end AI models can achieve in the real world. Here's a preview of our early
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These guys are crushing it. If anyone gets the ethos of a proper picks-and-shovels startup, they do.
🚀 Rerun 0.23 is out!. The highlights:. 🔸Backwards-compatible .rrd – open today’s recordings with tomorrow’s viewer. 🔸 Viewer callbacks – wire the viewer into your notebooks or web apps and react to selections and time-scrubs in real-time, e.g., to build annotation tools. 👇
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This is *so* cool. Does anyone not believe at this point that general-purpose robotics is coming?.
We got a robot to clean up homes that were never seen in its training data! Our new model, π-0.5, aims to tackle open-world generalization. We took our robot into homes that were not in the training data and asked it to clean kitchens and bedrooms. More below⤵️
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Great new take on the Track-Anything problem from some of my fav former colleagues at DM! .It's been amazing to see this work mature from bespoke architectures to such an elegant and general formulation.
We're very excited to introduce TAPNext: a model that sets a new state-of-art for Tracking Any Point in videos, by formulating the task as Next Token Prediction. For more, see: đź§µ
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RT @CarlDoersch: We're very excited to introduce TAPNext: a model that sets a new state-of-art for Tracking Any Point in videos, by formula….
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Huge congrats to my former DeepMind colleagues! Big step towards interactive robotics, and no feet required 👏.
Super excited to finally be able to share some of the really exciting work we have been cooking up @GoogleDeepMind! . Interactivity, Dexterity, Generalization and Multi-Embodiment seem far less far-fetched than before!. Reach out if this excites you too!.
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This was heartbreaking. I didn’t know Felix well, but we crossed paths many times and he always struck me as smart, happy, and engaged. That this was his internal world is terrifying, and makes me worry for all the others who are struggling with depression.
I worked with Felix on a paper in 2021. I remember Felix as a consistently kind person, and as a brilliant thinker. I'm sharing his farewell letter, as I think it's what he would have wanted. Please be mindful, it's not an easy read: Rest in peace.
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RT @rodneyabrooks: I recommend being kind to everyone rather than demonizing them. I try to be kind to people I disagree with, even if they….
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great article from @svlevine about the real-world being the ultimate place to harvest data for robotics . I've argued for this for years at Google, not particularly successfully. Hopefully articles like this can help shift the attitude.
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I'm with David on this one. Great paper!. The key bit is "Having to attack all resolutions & all abstractions at once leads naturally to human-interpretable attacks" . All the adversarial generation stuff flows from there.
I think this is possibly the biggest step forward in adversarial robustness in years. So much churn in the ML space and it's hard to tell from one twitter thread what's worth paying attention to, but this one deserves a close read.
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