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

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

🪙 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.

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…

World-aware Planning Narratives Enhance Large Vision-Language Model Planner
Junhao Shi, Zhaoye Fei, Siyin Wang, Qipeng Guo, Jingjing Gong, Xipeng QIu
https://arxiv.org/abs/2506.21230

World-aware Planning Narratives Enhance Large Vision-Language Model Planner
Large Vision-Language Models (LVLMs) show promise for embodied planning tasks but struggle with complex scenarios involving unfamiliar environments and multi-step goals. Current approaches rely on environment-agnostic imitation learning that disconnects instructions from environmental contexts, causing models to struggle with context-sensitive instructions and rely on supplementary cues rather than visual reasoning during long-horizon interactions. In this work, we propose World-Aware Planning …

Direction Informed Trees (DIT*): Optimal Path Planning via Direction Filter and Direction Cost Heuristic
Liding Zhang, Kejia Chen, Kuanqi Cai, Yu Zhang, Yixuan Dang, Yansong Wu, Zhenshan Bing, Fan Wu, Sami Haddadin, Alois Knoll
https://arxiv.org/abs/2508.19168

Direction Informed Trees (DIT*): Optimal Path Planning via Direction Filter and Direction Cost Heuristic
Optimal path planning requires finding a series of feasible states from the starting point to the goal to optimize objectives. Popular path planning algorithms, such as Effort Informed Trees (EIT*), employ effort heuristics to guide the search. Effective heuristics are accurate and computationally efficient, but achieving both can be challenging due to their conflicting nature. This paper proposes Direction Informed Trees (DIT*), a sampling-based planner that focuses on optimizing the search di…

Communication-Efficient Publication of Sparse Vectors under Differential Privacy
Quentin Hillebrand, Vorapong Suppakitpaisarn, Tetsuo Shibuya
https://arxiv.org/abs/2506.20234

Communication-Efficient Publication of Sparse Vectors under Differential Privacy
In this work, we propose a differentially private algorithm for publishing matrices aggregated from sparse vectors. These matrices include social network adjacency matrices, user-item interaction matrices in recommendation systems, and single nucleotide polymorphisms (SNPs) in DNA data. Traditionally, differential privacy in vector collection relies on randomized response, but this approach incurs high communication costs. Specifically, for a matrix with $N$ users, $n$ columns, and $m$ nonzero …

Sources: Kalshi is raising $100M led by Paradigm at a $1B valuation; Polymarket is completing a $200M investment led by Founders Fund at a ~$1B valuation (Kate Clark/Bloomberg)
https://www.bloomberg.com/news/articles/20

Kalshi raised $185M led by Paradigm at a $2B valuation; sources: Polymarket is completing a $200M investment led by Founders Fund at a ~$1B pre-money valuation (Kate Clark/Bloomberg)
https://www.bloomberg.com/news/articles/20…

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…