Tootfinder

WTF.....
"Extremely disturbing and unethical’: new rules allow VA doctors to refuse to treat Democrats, unmarried veterans"
https://www.theguardian.com/us-news/2025/jun/16/va-doctors-refuse-treat-patients

'Extremely disturbing and unethical': new rules allow VA doctors to refuse to treat Democrats, unmarried veterans (Aaron Glantz/The Guardian)
https://www.theguardian.com/us-news/2025/jun/16/va-doctors-refuse-treat-patients
http://www.memeorandum.com/250616/p29#a250616p29

Horrifying:
https://www.theguardian.com/us-news/2025/jun/16/va-doctors-refuse-treat-patients?CMP=Share_AndroidApp_Other

Eccentricity, extendable choice and descending distributive forcing
Calliope Ryan-Smith
https://arxiv.org/abs/2506.11607 https://arxi…

Eccentricity, extendable choice and descending distributive forcing
We introduce the forcing property of descending distributivity. A forcing $\mathbb{P}$ is $κ$-descending distributive if for all decreasing sequences $(D_α)_{α<κ}$ of open dense sets, $\bigcap_αD_α$ is open dense. This generalises the informal idea that $\mathbb{P}$ doesn't affect much on the scale of $κ$, such as if $\mathbb{P}$ is $κ$-distributive or if $κ> \lvert \mathbb{P} \rvert$. For example, a $κ$-descending distributive forcing will not change the cofinality of $κ$ or introdu…

stop the cycle ❌

High Probability Convergence of Distributed Clipped Stochastic Gradient Descent with Heavy-tailed Noise
Yuchen Yang, Kaihong Lu, Long Wang
https://arxiv.org/abs/2506.11647

High Probability Convergence of Distributed Clipped Stochastic Gradient Descent with Heavy-tailed Noise
In this paper, the problem of distributed optimization is studied via a network of agents. Each agent only has access to a noisy gradient of its own objective function, and can communicate with its neighbors via a network. To handle this problem, a distributed clipped stochastic gradient descent algorithm is proposed, and the high probability convergence of the algorithm is studied. Existing works on distributed algorithms involving stochastic gradients only consider the light-tailed noises. Di…

ExoStart: Efficient learning for dexterous manipulation with sensorized exoskeleton demonstrations
Zilin Si, Jose Enrique Chen, M. Emre Karagozler, Antonia Bronars, Jonathan Hutchinson, Thomas Lampe, Nimrod Gileadi, Taylor Howell, Stefano Saliceti, Lukasz Barczyk, Ilan Olivarez Correa, Tom Erez, Mohit Shridhar, Murilo Fernandes Martins, Konstantinos Bousmalis, Nicolas Heess, Francesco Nori, Maria Bauza Villalonga

ExoStart: Efficient learning for dexterous manipulation with sensorized exoskeleton demonstrations
Recent advancements in teleoperation systems have enabled high-quality data collection for robotic manipulators, showing impressive results in learning manipulation at scale. This progress suggests that extending these capabilities to robotic hands could unlock an even broader range of manipulation skills, especially if we could achieve the same level of dexterity that human hands exhibit. However, teleoperating robotic hands is far from a solved problem, as it presents a significant challenge …

If the Iranian leadership has the feeling that Israel wants to completely destroy Iran's military capabilities, why wouldn't they do something extreme like attacking US bases in the region, destroy oil installations in the neighbourhood , close Hormuz etc, while they still have the capabilities... 🤔
There doesn't seem to be an opening for de-escalation for Iran?
#iran

Dynamic Collaborative Material Distribution System for Intelligent Robots In Smart Manufacturing
Ziren Xiao, Ruxin Xiao, Chang Liu, Xinheng Wang
https://arxiv.org/abs/2506.11723

Dynamic Collaborative Material Distribution System for Intelligent Robots In Smart Manufacturing
The collaboration and interaction of multiple robots have become integral aspects of smart manufacturing. Effective planning and management play a crucial role in achieving energy savings and minimising overall costs. This paper addresses the real-time Dynamic Multiple Sources to Single Destination (DMS-SD) navigation problem, particularly with a material distribution case for multiple intelligent robots in smart manufacturing. Enumerated solutions, such as in \cite{xiao2022efficient}, tackle t…

mimic-one: a Scalable Model Recipe for General Purpose Robot Dexterity
Elvis Nava, Victoriano Montesinos, Erik Bauer, Benedek Forrai, Jonas Pai, Stefan Weirich, Stephan-Daniel Gravert, Philipp Wand, Stephan Polinski, Benjamin F. Grewe, Robert K. Katzschmann
https://arxiv.org/abs/2506.11916…

mimic-one: a Scalable Model Recipe for General Purpose Robot Dexterity
We present a diffusion-based model recipe for real-world control of a highly dexterous humanoid robotic hand, designed for sample-efficient learning and smooth fine-motor action inference. Our system features a newly designed 16-DoF tendon-driven hand, equipped with wide angle wrist cameras and mounted on a Franka Emika Panda arm. We develop a versatile teleoperation pipeline and data collection protocol using both glove-based and VR interfaces, enabling high-quality data collection across dive…