Tootfinder

Polymarket raised "double-digit millions" from 1789 Capital, which Donald Trump Jr. joined as a partner in 2024; Trump Jr. will join Polymarket's advisory board (Dan Primack/Axios)
https://www.axios.com/2025/08/26/trump-jr-vc-fund-polymarket

Scoop: Donald Trump Jr.'s VC firm bets on Polymarket
1789 Capital invested double-digit millions of dollars into Polymarket

🪙 Polymer-protected DNA sensors enable two-month storage for 50-cent disease diagnostics
#dna…

Polymer-protected DNA sensors enable two-month storage for 50-cent disease diagnostics
Using an inexpensive electrode coated with DNA, MIT researchers have designed disposable diagnostics that could be adapted to detect a variety of diseases, including cancer or infectious diseases such as influenza and HIV.

Highly anisotropic 1D materials supported in exfoliable 2D coordination polymers with optical anisotropy switching via twist-engineering
Eleni C. Mazarakioti, Carla Boix-Constant, Iv\'an G\'omez-Mu\~noz, Diego L\'opez-Alcal\'a, Sergio Revuelta, Marco Ballabio, Vasileios Balos, Jos\'e J. Baldov\'i, Enrique C\'anovas, Josep Canet-Ferrer, Guillermo M\'inguez Espallargas, Samuel Ma\~nas-Valero, Eugenio Coronado

Highly anisotropic 1D materials supported in exfoliable 2D coordination polymers with optical anisotropy switching via twist-engineering
Van der Waals (vdW) materials provide a platform to study and control the physical properties of low-dimensional materials. While strategies developed for two-dimensional (2D) crystals are not directly transferable to one-dimensional (1D) systems, we can benefit from them by creating layers formed by interconnected chains. Here, we develop a molecular strategy to illustrate this concept consisting of assembling 1D materials in 2D metal-organic frameworks (MOFs). Crystals of [FeX(pzX)(bpy)] (X =…

STEP Planner: Constructing cross-hierarchical subgoal tree as an embodied long-horizon task planner
Zhou Tianxing, Wang Zhirui, Ao Haojia, Chen Guangyan, Xing Boyang, Cheng Jingwen, Yang Yi, Yue Yufeng
https://arxiv.org/abs/2506.21030

STEP Planner: Constructing cross-hierarchical subgoal tree as an embodied long-horizon task planner
The ability to perform reliable long-horizon task planning is crucial for deploying robots in real-world environments. However, directly employing Large Language Models (LLMs) as action sequence generators often results in low success rates due to their limited reasoning ability for long-horizon embodied tasks. In the STEP framework, we construct a subgoal tree through a pair of closed-loop models: a subgoal decomposition model and a leaf node termination model. Within this framework, we develo…

MAGA Candidate Torches the Quran in Deranged Flamethrower Ad (Ewan Palmer/The Daily Beast)
https://www.thedailybeast.com/maga-candidate-valentina-gomez-flamethrowers-the-quran-in-deranged-campaign-ad/
http://www.memeorandum.com/250826/p79#a250826p79

Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
Hugo Attali, Thomas Papastergiou, Nathalie Pernelle, Fragkiskos D. Malliaros
https://arxiv.org/abs/2508.19071

Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
Graph Neural Networks (GNNs) have emerged as the leading paradigm for learning over graph-structured data. However, their performance is limited by issues inherent to graph topology, most notably oversquashing and oversmoothing. Recent advances in graph rewiring aim to mitigate these limitations by modifying the graph topology to promote more effective information propagation. In this work, we introduce TRIGON, a novel framework that constructs enriched, non-planar triangulations by learning to…

That shithead Palmer Luckey is considering making fully US-made laptops and wants to know if people would spend 20% more for an American made laptop. Sure, Palmer. But not for your racist ass. I'd never give you a cent https…

Palmer Luckey considering entering laptop market with fully US-made model, wants to know if you'd spend 20% more for an American-made PC
It seems Luckey's military technology startup is considering a product slightly different from its current portfolio.

IMA-Catcher: An IMpact-Aware Nonprehensile Catching Framework based on Combined Optimization and Learning
Francesco Tassi (Human-Robot Interfaces and Interaction Lab., Istituto Italiano di Tecnologia, Italy), Jianzhuang Zhao (Human-Robot Interfaces and Interaction Lab., Istituto Italiano di Tecnologia, Italy), Gustavo J. G. Lahr (Human-Robot Interfaces and Interaction Lab., Istituto Italiano di Tecnologia, Italy), Luna Gava (Event-Driven Perception for Robotics Lab, Istituto Italiano d…

IMA-Catcher: An IMpact-Aware Nonprehensile Catching Framework based on Combined Optimization and Learning
Robotic catching of flying objects typically generates high impact forces that might lead to task failure and potential hardware damages. This is accentuated when the object mass to robot payload ratio increases, given the strong inertial components characterizing this task. This paper aims to address this problem by proposing an implicitly impact-aware framework that accomplishes the catching task in both pre- and post-catching phases. In the first phase, a motion planner generates optimal tra…

Diverse polymorphs and phase transitions in van der Waals In$_2$Se$_3$
Mingfeng Liu, Jiantao Wang, Peitao Liu, Qiang Wang, Zhibo Liu, Yan Sun, Xing-Qiu Chen
https://arxiv.org/abs/2506.21248

Diverse polymorphs and phase transitions in van der Waals In$_2$Se$_3$
Van der Waals In$_2$Se$_3$ has garnered significant attention due to its unique properties and wide applications associated with its rich polymorphs and polymorphic phase transitions. Despite extensive studies, the vast complex polymorphic phase space remains largely unexplored, and the underlying microscopic mechanism for their phase transformations remains elusive. Here, we develop a highly accurate, efficient, and reliable machine-learning potential (MLP), which not only facilitates accurate…

Finding the Easy Way Through -- the Probabilistic Gap Planner for Social Robot Navigation
Malte Probst, Raphael Wenzel, Tim Puphal, Monica Dasi, Nico A. Steinhardt, Sango Matsuzaki, Misa Komuro
https://arxiv.org/abs/2506.20320

Finding the Easy Way Through -- the Probabilistic Gap Planner for Social Robot Navigation
In Social Robot Navigation, autonomous agents need to resolve many sequential interactions with other agents. State-of-the art planners can efficiently resolve the next, imminent interaction cooperatively and do not focus on longer planning horizons. This makes it hard to maneuver scenarios where the agent needs to select a good strategy to find gaps or channels in the crowd. We propose to decompose trajectory planning into two separate steps: Conflict avoidance for finding good, macroscopic tr…