Tootfinder

'Reduce, reuse, recycle' is corporate gaslighting—the real change must come from the fossil fuel industry https://phys.org/news/2025-10-reuse-recycle-corporate-gaslighting-real.html

'Reduce, reuse, recycle' is corporate gaslighting—the real change must come from the fossil fuel industry
"Reduce, reuse, recycle." For more than 50 years, those three Rs have been the world's go-to environmental mantra.

"They know how to eat methane,”
said Josh Silverman, the company’s CEO and founder.
“We’re not creating something new.
We’re not teaching them to do something they don’t normally do.
They’ve evolved for a million years to do this.”
https://www.w…

These pink microbes could help reduce planet-warming methane emissions
Microscopic organisms are being deployed to capture methane from sources such as farms and landfills, with the potential for reuse as fertilizer and fish food.

MISP core format has been updated with a new field to track first-time publication, and a new IETF Internet-Draft has been published.
This minor, fully backward-compatible addition reinforces the long-term stability and extensibility of the MISP standard format.
#cti #opensource

"Reuse and return schemes could help eliminate plastic pollution in 15 years, says report"
#Plastic #Plastics #Environment

An Energy-Efficient Edge Coprocessor for Neural Rendering with Explicit Data Reuse Strategies
Binzhe Yuan, Xiangyu Zhang, Zeyu Zheng, Yuefeng Zhang, Haochuan Wan, Zhechen Yuan, Junsheng Chen, Yunxiang He, Junran Ding, Xiaoming Zhang, Chaolin Rao, Wenyan Su, Pingqiang Zhou, Jingyi Yu, Xin Lou
https://arxiv.org/abs/2510.07667

An Energy-Efficient Edge Coprocessor for Neural Rendering with Explicit Data Reuse Strategies
Neural radiance fields (NeRF) have transformed 3D reconstruction and rendering, facilitating photorealistic image synthesis from sparse viewpoints. This work introduces an explicit data reuse neural rendering (EDR-NR) architecture, which reduces frequent external memory accesses (EMAs) and cache misses by exploiting the spatial locality from three phases, including rays, ray packets (RPs), and samples. The EDR-NR architecture features a four-stage scheduler that clusters rays on the basis of Z-…

Kimi K2 Thinking is impressive, it is as at least as good as other top foundation models, fully openweights, 1 trillion parameters but only using 32B in a MoE setting. Also you can download and reuse it for free.
https://github.com/MoonshotAI/Kimi-K2

GitHub - MoonshotAI/Kimi-K2: Kimi K2 is the large language model series developed by Moonshot AI team
Kimi K2 is the large language model series developed by Moonshot AI team - MoonshotAI/Kimi-K2

Unclear to me why no one ever mentions Strongbox in #PasswordManager reviews. It is a perfectly fine PM for macOS/iOS/iPadOS that has a rich set of sync options, most of which don't involve any 2nd/3rd party storage. It stores its databases in KeePass2.x (kdbx v4) format, so it is data-compatible with the many variations of KeePass.
(I use it with SSH/SCP sync, so as long as I’m at…

There be posts!
They're going to reuse part of the back fence and both gates there since they are still in good shape. The bare posts look so gigantic. lol. The finished fence will be 6.5-7ft... but who wouldn't want a 10ft wall of wire lol
Looks like the pond gained about 12 inches of water over the past few days of rain. I had mostly emptied it on Sunday.
#PoolPond #Fence #BackyardProject

I am once again begging, begging everyone to hold these 3 thoughts in their head at once:
1. Plastics recycling is not very effective. It’s far, far better to not use plastic at all in the first place, and that failing, far better to reuse.
2. Plastics recycling is not worthless or pointless. Don’t just throw it all away because “iT dOEsn’T matTeR.” A miserable 5% reclaimed is still better than 0% reclaimed.
3. Plastics recycling is nonetheless part of a petrochemical greenwashing campaign, per @…’s post below. https://mastodon.social/@CelloMomOnCars/115650231600448649

Where do people publish images such that they are citable, FAIR and browsable?
I‘d like to publish my drawings under a CC-BY license for reuse but I am struggling finding a good place for that.
#FAIRprinciples

@… if/when you revisit things, and if you reuse desktop-installer, there's the option to switch from quarterly to latest for (ports collection) packages.
<https://

Today at #CHR2025, I will be presenting our work on the evaluation of the historical adequacy of masked language models (MLMs) for #Latin. There are several models like this, and they represent the current state of the art for a number of downstream tasks, like semantic change and text reuse detection. However, a h…

Refashion: Reconfigurable Garments via Modular Design
Rebecca Lin, Michal Luk\'a\v{c}, Mackenzie Leake
https://arxiv.org/abs/2510.11941 https://arxiv.o…

Refashion: Reconfigurable Garments via Modular Design
While bodies change over time and trends vary, most store-bought clothing comes in fixed sizes and styles and fails to adapt to these changes. Alterations can enable small changes to otherwise static garments, but these changes often require sewing and are non-reversible. We propose a modular approach to garment design that considers resizing, restyling, and reuse earlier in the design process. Our contributions include a compact set of modules and connectors that form the building blocks of mo…

Clustering Deposit and Withdrawal Activity in Tornado Cash: A Cross-Chain Analysis
Raffaele Cristodaro, Benjamin Kramer, Claudio J. Tessone
https://arxiv.org/abs/2510.09433 http…

Clustering Deposit and Withdrawal Activity in Tornado Cash: A Cross-Chain Analysis
Tornado Cash is a decentralised mixer that uses cryptographic techniques to sever the on-chain trail between depositors and withdrawers. In practice, however, its anonymity can be undermined by user behaviour and operational quirks. We conduct the first cross-chain empirical study of Tornado Cash activity on Ethereum, BNB Smart Chain, and Polygon, introducing three clustering heuristics-(i) address-reuse, (ii) transactional-linkage, and (iii) a novel first-in-first-out (FIFO) temporal-matching …

When Openness Fails: Lessons from System Safety for Assessing Openness in AI
Tamara Paris, Shalaleh Rismani
https://arxiv.org/abs/2510.10732 https://arxiv.…

When Openness Fails: Lessons from System Safety for Assessing Openness in AI
Most frameworks for assessing the openness of AI systems use narrow criteria such as availability of data, model, code, documentation, and licensing terms. However, to evaluate whether the intended effects of openness - such as democratization and autonomy - are realized, we need a more holistic approach that considers the context of release: who will reuse the system, for what purposes, and under what conditions. To this end, we adapt five lessons from system safety that offer guidance on how …

#WritersCoffeeClub Dec
9. Do you reuse certain words as refrain or motif, or avoid repetition altogether?
10. Is it ethical to base characters on real people? What is the limit?
11. How do you keep track of plots and subplots?
---
9. I would love to, intentionally, but I'm not there (yet?). I've seen good examples of it though, so I have rough understanding o…

OTR: Synthesizing Overlay Text Dataset for Text Removal
Jan Zdenek, Wataru Shimoda, Kota Yamaguchi
https://arxiv.org/abs/2510.02787 https://arxiv.org/pdf/2…

OTR: Synthesizing Overlay Text Dataset for Text Removal
Text removal is a crucial task in computer vision with applications such as privacy preservation, image editing, and media reuse. While existing research has primarily focused on scene text removal in natural images, limitations in current datasets hinder out-of-domain generalization or accurate evaluation. In particular, widely used benchmarks such as SCUT-EnsText suffer from ground truth artifacts due to manual editing, overly simplistic text backgrounds, and evaluation metrics that do not ca…

PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations
Sazan Mahbub, Souvik Kundu, Eric P. Xing
https://arxiv.org/abs/2510.11750

PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations
Designing protein sequences that fold into a target three-dimensional structure, known as the inverse folding problem, is central to protein engineering but remains challenging due to the vast sequence space and the importance of local structural constraints. Existing deep learning approaches achieve strong recovery rates, yet they lack explicit mechanisms to reuse fine-grained structure-sequence patterns that are conserved across natural proteins. We present PRISM, a multimodal retrieval-augme…

Relevance-Zone Reduction in Game Solving
Chi-Huang Lin, Ting Han Wei, Chun-Jui Wang, Hung Guei, Chung-Chin Shih, Yun-Jui Tsai, I-Chen Wu, Ti-Rong Wu
https://arxiv.org/abs/2510.00689

Relevance-Zone Reduction in Game Solving
Game solving aims to find the optimal strategies for all players and determine the theoretical outcome of a game. However, due to the exponential growth of game trees, many games remain unsolved, even though methods like AlphaZero have demonstrated super-human level in game playing. The Relevance-Zone (RZ) is a local strategy reuse technique that restricts the search to only the regions relevant to the outcome, significantly reducing the search space. However, RZs are not unique. Different solu…

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs
Yifan Zhao, Egan Johnson, Prasanth Chatarasi, Vikram Adve, Sasa Misailovic
https://arxiv.org/abs/2510.08726

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs
Operator fusion has become a key optimization for deep learning, which combines multiple deep learning operators to improve data reuse and reduce global memory transfers. However, existing tensor compilers struggle to fuse complex reduction computations involving loop-carried dependencies, such as attention mechanisms. The paper introduces Neptune, a tensor compiler for advanced operator fusion for sequences of reduction operators. Neptune presents a new approach for advanced operator fusion,…

On the Complexity of Lower-Order Implementations of Higher-Order Methods
Nikita Doikov, Geovani Nunes Grapiglia
https://arxiv.org/abs/2510.07992 https://ar…

On the Complexity of Lower-Order Implementations of Higher-Order Methods
In this work, we propose a method for minimizing non-convex functions with Lipschitz continuous $p$th-order derivatives, starting from $p \geq 1$. The method, however, only requires derivative information up to order $(p-1)$, since the $p$th-order derivatives are approximated via finite differences. To ensure oracle efficiency, instead of computing finite-difference approximations at every iteration, we reuse each approximation for $m$ consecutive iterations before recomputing it, with $m \geq …

Coordinate Condensation: Subspace-Accelerated Coordinate Descent for Physics-Based Simulation
Ty Trusty
https://arxiv.org/abs/2510.12053 https://arxiv.org/…

Coordinate Condensation: Subspace-Accelerated Coordinate Descent for Physics-Based Simulation
We introduce Coordinate Condensation, a variant of coordinate descent that accelerates physics-based simulation by augmenting local coordinate updates with a Schur-complement-based subspace correction. Recent work by Lan et al. 2025 (JGS2) uses perturbation subspaces to augment local solves to account for global coupling, but their approach introduces damping that can degrade convergence. We reuse this subspace but solve for local and subspace displacements independently, eliminating this dampi…

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Real-Time Long-Horizon Manipulation
Yifei Simon Shao, Yuchen Zheng, Sunan Sun, Pratik Chaudhari, Vijay Kumar, Nadia Figueroa
https://arxiv.org/abs/2510.01661

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Real-Time Long-Horizon Manipulation
Multi-step manipulation in dynamic environments remains challenging. Two major families of methods fail in distinct ways: (i) imitation learning (IL) is reactive but lacks compositional generalization, as monolithic policies do not decide which skill to reuse when scenes change; (ii) classical task-and-motion planning (TAMP) offers compositionality but has prohibitive planning latency, preventing real-time failure recovery. We introduce SymSkill, a unified learning framework that combines the b…

VirDA: Reusing Backbone for Unsupervised Domain Adaptation with Visual Reprogramming
Duy Nguyen, Dat Nguyen
https://arxiv.org/abs/2510.01660 https://arxiv.…

VirDA: Reusing Backbone for Unsupervised Domain Adaptation with Visual Reprogramming
Existing UDA pipelines fine-tune already well-trained backbone parameters for every new source-and-target pair, resulting in the number of training parameters and storage memory growing linearly with each new pair, and also preventing the reuse of these well-trained backbone parameters. Inspired by recent implications that existing backbones have textural biases, we propose making use of domain-specific textural bias for domain adaptation via visual reprogramming, namely VirDA.Instead of fine…

ENLighten: Lighten the Transformer, Enable Efficient Optical Acceleration
Hanqing Zhu, Zhican Zhou, Shupeng Ning, Xuhao Wu, Ray Chen, Yating Wan, David Pan
https://arxiv.org/abs/2510.01673

ENLighten: Lighten the Transformer, Enable Efficient Optical Acceleration
Photonic computing has emerged as a promising substrate for accelerating the dense linear-algebra operations at the heart of AI, yet adoption for large Transformer models remains in its infancy. We identify two bottlenecks: (1) costly electro--optic conversions and data-movement overheads that erode energy efficiency as model sizes scale; (2) a mismatch between limited on-chip photonic resources and Transformer scale, which forces frequent reuse of photonic tensor cores and dilutes throughput g…

"Reduce, Reuse, Recycle: How much packaging waste do EU citizens produce?"
#EU #EuropeanUnion #Climate #ClimateChange

How much packaging waste are EU citizens producing?
Despite packaging waste having risen over the past decade, seven EU countries achieved the 2030 goal of recycling at least 70% of all packaging waste as early as 2023.