Tootfinder

The Rise of Spotify and the Costs of the Perfect Playlist https://sonicstate.com/news/2025/06/10/the-rise-of-spotify-and-the-costs-of…

The Rise of Spotify and the Costs of the Perfect Playlist - 'Mood Machine' by Liz Pelly
Mood Machine' by Liz Pelly

A 75% reduction in charging costs compared to immediate charging, and 60% compared to charging during off-peak hours at a standard rate. Per truck 🚛 , an annual saving of €3,000 by purchasing market electricity. This is demonstrated by this successful French project.
https:/…

Une première en France : une flotte de camions électriques pilotée par l’intelligence énergétique - Chargepoly
Avec la réduction inédite du TCO (“Total Cost of Ownership” soit Coût Total de Possession) pour une flotte de camions électriques, Bert&You, Chargepoly et Dreev concrétisent un projet innovant qui trace la voie vers une électrification rentable du transport routier de marchandises. Bert&You montre la voie pour deux de ses dépôts, situés à Sorgues et […]

Poles care more about costs than emissions https://www.sciencedirect.com/science/article/pii/S0140988325005249 @…

Brilliant! Save $150 billion at a cost of $135 billion…not counting legal costs, and real damage to lives and programs.
Elon Musk and DOGE’s Savings May Be Erased by New Costs

Apple claims that the App Store is in their customer interests and protects them from being scammed.
1) Are there no scamming apps in the App Store?
2) When I look at the potential costs of using an application it looks like this. I honestly cannot tell how much it costs. I do not feel that the App Store is protecting me.

Investment Risk for Energy Infrastructure Construction Is Highest for #NuclearPower Plants, Lowest for #Solar

Investment Risk for Energy Infrastructure Construction Is Highest for Nuclear Power Plants, Lowest for Solar - CleanTechnica
A new study from the Boston University Institute for Global Sustainability finds that construction costs run over budget for more than 60% of energy infrastructure projects worldwide. By Laura Hurley Between now and 2050, the International Energy Agency projects that more than $100 trillion will be spent on building net-zero energy infrastructure globally. ... [continued]

In other news I FINALLY after days and weeks of searching found a problem that costs us literally hundreds of dollars in server costs a day 🥲🥲🥲🥲🥲

A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
Songsoo Kim, Seungtae Lee, See Young Lee, Joonho Kim, Keechan Kan, Dukyong Yoon
https://arxiv.org/abs/2506.20112

A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
Background: The positive predictive value (PPV) of large language model (LLM)-based proofreading for radiology reports is limited due to the low error prevalence. Purpose: To assess whether a three-pass LLM framework enhances PPV and reduces operational costs compared with baseline approaches. Materials and Methods: A retrospective analysis was performed on 1,000 consecutive radiology reports (250 each: radiography, ultrasonography, CT, MRI) from the MIMIC-III database. Two external datasets (C…

Why UUIDs are bad, and why you should consider the alternative
TL;DR: Use Cuid2 instead of UUID.
🧑‍💻 #code

Why UUIDs are bad, and why you should consider the alternative
Universally Unique Identifier, or UUID for short, is widely used as a unique identifier across systems. Their appeal lies in their simplicity and universality. But they come with costs (and they are huge).

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 …

The Climate Costs of War (Mark Hertsgaard/The Nation)
https://www.thenation.com/article/environment/climate-costs-war-military-emissions/
http://www.memeorandum.com/250620/p86#a250620p86

Surprise, surprise.
This is not an industrial strategy.
Whatever it is, it isn't fit for the coming era of energy descent and ecosystem collapse.
Lower energy costs part of government's 10-year plan for industry - BBC News
https://www.bbc.co.uk/news/articles/c1ljnr

Lower energy costs part of government's 10-year plan for industry
Plans to slash energy bills by up to 25% for over 7,000 UK businesses will be announced alongside other plans to boost growth.

Sanmai, which wants to build an AI-powered ultrasound device that costs less than $500 to help treat mental health conditions, raised $12M led by Reid Hoffman (Bloomberg)

Speed-Aware Network Design: A Parametric Optimization Approach
Ugo Rosolia, Marc Bataillou Almagro, George Iosifidis, Martin Gross, Georgios Paschos
https://arxiv.org/abs/2506.20216

Speed-Aware Network Design: A Parametric Optimization Approach
Network design problems have been studied from the 1950s, as they can be used in a wide range of real-world applications, e.g., design of communication and transportation networks. In classical network design problems, the objective is to minimize the cost of routing the demand flow through a graph. In this paper, we introduce a generalized version of such a problem, where the objective is to tradeoff routing costs and delivery speed; we introduce the concept of speed-coverage, which is defined…

Deciphering GunType Hierarchy through Acoustic Analysis of Gunshot Recordings
Ankit Shah, Rita Singh, Bhiksha Raj, Alexander Hauptmann
https://arxiv.org/abs/2506.20609

Deciphering GunType Hierarchy through Acoustic Analysis of Gunshot Recordings
The escalating rates of gun-related violence and mass shootings represent a significant threat to public safety. Timely and accurate information for law enforcement agencies is crucial in mitigating these incidents. Current commercial gunshot detection systems, while effective, often come with prohibitive costs. This research explores a cost-effective alternative by leveraging acoustic analysis of gunshot recordings, potentially obtainable from ubiquitous devices like cell phones, to not only d…

DiT-SGCR: Directed Temporal Structural Representation with Global-Cluster Awareness for Ethereum Malicious Account Detection
Ye Tian, Liangliang Song, Peng Qian, Yanbin Wang, Jianguo Sun, Yifan Jia
https://arxiv.org/abs/2506.20123

DiT-SGCR: Directed Temporal Structural Representation with Global-Cluster Awareness for Ethereum Malicious Account Detection
The detection of malicious accounts on Ethereum - the preeminent DeFi platform - is critical for protecting digital assets and maintaining trust in decentralized finance. Recent advances highlight that temporal transaction evolution reveals more attack signatures than static graphs. However, current methods either fail to model continuous transaction dynamics or incur high computational costs that limit scalability to large-scale transaction networks. Furthermore, current methods fail to consid…

Semantic Caching for Improving Web Affordability
Hafsa Akbar, Danish Athar, Muhammad Ayain Fida Rana, Chaudhary Hammad Javed, Zartash Afzal Uzmi, Ihsan Ayyub Qazi, Zafar Ayyub Qazi
https://arxiv.org/abs/2506.20420

Semantic Caching for Improving Web Affordability
The rapid growth of web content has led to increasingly large webpages, posing significant challenges for Internet affordability, especially in developing countries where data costs remain prohibitively high. We propose semantic caching using Large Language Models (LLMs) to improve web affordability by enabling reuse of semantically similar images within webpages. Analyzing 50 leading news and media websites, encompassing 4,264 images and over 40,000 image pairs, we demonstrate potential for si…

Diagnosing electron-neutrino lepton number crossings in core-collapse supernovae: a comparison of methods
Marie Cornelius (NBIA,DARK, Niels Bohr Institute), Irene Tamborra (NBIA,DARK, Niels Bohr Institute), Malte Heinlein (MPI Astrophysics, Garching,TUM, Garching), Hans-Thomas Janka (MPI Astrophysics, Garching)
https://arxiv.org…

Diagnosing electron-neutrino lepton number crossings in core-collapse supernovae: a comparison of methods
Fast neutrino flavor conversion may impact the explosion mechanism and nucleosynthesis in core-collapse supernovae. A necessary condition for fast flavor conversion is the presence of crossings in the angular distribution of the electron-neutrino lepton number (ELN crossing). Because of the computational costs, flavor-dependent angular distributions are not computed by the vast majority of state-of-the-art hydrodynamical simulations; instead, angular distributions are reconstructed employing ap…

yearly costs from car crashes: $500 million
stopping Muni cuts that would make people buy cars: $7.2 million
someone please help me budget this, my city is dying
https://sfba.social/@MLNow/114389440475044251

Unpack AI’s environmental impact today at 11am EDT, from local vs global effects to how it stacks up against Netflix flights. Try out a new student-friendly tool brainstorm classroom ideas in this #MyFest25 webinar HT @…

Trump on Monday began to confront the potential economic blowback from his military strikes on Iran,
which threatens to send oil and gas prices soaring at a moment when U.S. consumers are already facing significant financial strains.
The mere prospect of rising energy costs appeared to spook even Trump, who took to social media to push for more domestic drilling
-- while demanding that companies “KEEP OIL PRICES DOWN”; otherwise, they would be “PLAYING RIGHT INTO THE HANDS O…

White House Faces Risk of Economic Fallout From Iran Strike
President Trump, aware of how high gas prices could affect his popularity, demanded on social media that the U.S. “KEEP OIL PRICES DOWN.”

Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs
Shuang Ao, Yi Dong, Jinwei Hu, Sarvapali Ramchurn
https://arxiv.org/abs/2506.18931

Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs
Fine-tuning Large Language Models (LLMs) with Low-Rank Adaptation (LoRA) enhances adaptability while reducing computational costs. However, fine-tuning can compromise safety alignment, even with benign data, increasing susceptibility to harmful outputs. Existing safety alignment methods struggle to capture complex parameter shifts, leading to suboptimal safety-utility trade-offs. To address this issue, we propose Safe Pruning LoRA (SPLoRA), a novel pruning-based approach that selectively remove…

Multimodal large language models and physics visual tasks: comparative analysis of performance and costs
Giulia Polverini, Bor Gregorcic
https://arxiv.org/abs/2506.19662

Multimodal large language models and physics visual tasks: comparative analysis of performance and costs
Multimodal large language models (MLLMs) capable of processing both text and visual inputs are increasingly being explored for uses in physics education, such as tutoring, formative assessment, and grading. This study evaluates a range of publicly available MLLMs on a set of standardized, image-based physics research-based conceptual assessments (concept inventories). We benchmark 15 models from three major providers (Anthropic, Google, and OpenAI) across 102 physics items, focusing on two main…

Radial Attention: $O(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation
Xingyang Li, Muyang Li, Tianle Cai, Haocheng Xi, Shuo Yang, Yujun Lin, Lvmin Zhang, Songlin Yang, Jinbo Hu, Kelly Peng, Maneesh Agrawala, Ion Stoica, Kurt Keutzer, Song Han
https://arxiv.org/abs/2506.19852…

Radial Attention: $O(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation
Recent advances in diffusion models have enabled high-quality video generation, but the additional temporal dimension significantly increases computational costs, making training and inference on long videos prohibitively expensive. In this paper, we identify a phenomenon we term Spatiotemporal Energy Decay in video diffusion models: post-softmax attention scores diminish as spatial and temporal distance between tokens increase, akin to the physical decay of signal or waves over space and time …

Schr\"odinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Samuel Howard, Peter Potaptchik, George Deligiannidis
https://arxiv.org/abs/2506.17197

Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Recent advances in flow-based generative modelling have provided scalable methods for computing the Schrödinger Bridge (SB) between distributions, a dynamic form of entropy-regularised Optimal Transport (OT) for the quadratic cost. The successful Iterative Markovian Fitting (IMF) procedure solves the SB problem via sequential bridge-matching steps, presenting an elegant and practical approach with many favourable properties over the more traditional Iterative Proportional Fitting (IPF) procedu…

Non-Discriminatory Personalized Pricing
Philipp Strack, Kai Hao Yang
https://arxiv.org/abs/2506.20925 https://arxiv.org/pdf/2506.2092…

Non-Discriminatory Personalized Pricing
A monopolist offers personalized prices to consumers with unit demand, heterogeneous values, and idiosyncratic costs, who differ in a protected characteristic, such as race or gender. The seller is subject to a non-discrimination constraint: consumers with the same cost, but different characteristics must face identical prices. Such constraints arise in regulated markets like credit or insurance. The setting reduces to an optimal transport, and we characterize the optimal pricing rule. Under th…

GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching
Guinan Su, Li Shen, Lu Yin, Shiwei Liu, Yanwu Yang, Jonas Geiping
https://arxiv.org/abs/2506.20480

GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching
Large language models (LLMs) have shown remarkable capabilities in language understanding and generation. However, such impressive capability typically comes with a substantial model size, which presents significant challenges in deployment and inference. While structured pruning of model parameters offers a promising way to reduce computational costs at deployment time, current methods primarily focus on single model pruning. In this work, we develop a novel strategy to compress models by stra…

Black-Box Test Code Fault Localization Driven by Large Language Models and Execution Estimation
Ahmadreza Saboor Yaraghi, Golnaz Gharachorlu, Sakina Fatima, Lionel C. Briand, Ruiyuan Wan, Ruifeng Gao
https://arxiv.org/abs/2506.19045

Black-Box Test Code Fault Localization Driven by Large Language Models and Execution Estimation
Fault localization (FL) is a critical step in debugging which typically relies on repeated executions to pinpoint faulty code regions. However, repeated executions can be impractical in the presence of non-deterministic failures or high execution costs. While recent efforts have leveraged Large Language Models (LLMs) to aid execution-free FL, these have primarily focused on identifying faults in the system under test (SUT) rather than in the often complex system test code. However, the latter i…

Chispún. Amazon pone fin a La Rueda del Tiempo tras tres temporadas.
https://www.theverge.com/news/673899/amazon-wheel-of-time-canceled
Os dejo de regalo este vídeo sobre esta épica saga de libros.

The near-total repeal of the #InflationReductionAct, as passed by the US House, would increase USA carbon emissions by 150 MtCO2eq/year by 2030 (for power generation alone) and 1 Gt/y by 2035. (While also increasing costs nearly everywhere.)
http…

Filling of incomplete sinograms from sparse PET detector configurations using a residual U-Net
Klara Leffler, Luigi Tommaso Luppino, Samuel Kuttner, Karin S\"oderkvist, Jan Axelsson
https://arxiv.org/abs/2506.19600

Filling of incomplete sinograms from sparse PET detector configurations using a residual U-Net
Long axial field-of-view PET scanners offer increased field-of-view and sensitivity compared to traditional PET scanners. However, a significant cost is associated with the densely packed photodetectors required for the extended-coverage systems, limiting clinical utilisation. To mitigate the cost limitations, alternative sparse system configurations have been proposed, allowing an extended field-of-view PET design with detector costs similar to a standard PET system, albeit at the expense of i…

We need to reclaim the tradition of imposing taxes on the rich to cover the costs of war. It’s why we got the income tax in the first place.

War is a mechanism that concentrates wealth at the top. If that is not countered with policy, it suggests that part of the purpose of the war is that concentration.
(see the past 25 years as an example)

SIM-Enabled Hybrid Digital-Wave Beamforming for Fronthaul-Constrained Cell-Free Massive MIMO Systems
Eunhyuk Park, Seok-Hwan Park, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai
https://arxiv.org/abs/2506.19090

SIM-Enabled Hybrid Digital-Wave Beamforming for Fronthaul-Constrained Cell-Free Massive MIMO Systems
As the dense deployment of access points (APs) in cell-free massive multiple-input multiple-output (CF-mMIMO) systems presents significant challenges, per-AP coverage can be expanded using large-scale antenna arrays (LAAs). However, this approach incurs high implementation costs and substantial fronthaul demands due to the need for dedicated RF chains for all antennas. To address these challenges, we propose a hybrid beamforming framework that integrates wave-domain beamforming via stacked inte…

The Rise of Spotify and the Costs of the Perfect Playlist
https://sonicstate.com/news/2025/06/10/the-rise-of-spotify-and-the-costs-of-the-perfect-playlis…

The Rise of Spotify and the Costs of the Perfect Playlist - 'Mood Machine' by Liz Pelly
Mood Machine' by Liz Pelly

Beyond Syntax: Action Semantics Learning for App Agents
Bohan Tang, Dezhao Luo, Jingxuan Chen, Shaogang Gong, Jianye Hao, Jun Wang, Kun Shao
https://arxiv.org/abs/2506.17697

Beyond Syntax: Action Semantics Learning for App Agents
The advent of Large Language Models (LLMs) enables the rise of App agents that interpret user intent and operate smartphone Apps through actions such as clicking and scrolling. While prompt-based solutions with closed LLM APIs show promising ability, they incur heavy compute costs and external API dependency. Fine-tuning smaller open-source LLMs solves these limitations. However, current fine-tuning methods use a syntax learning paradigm that forces agents to reproduce exactly the ground truth …

I only read this to see if it was David Mitchell (author) or David Mitchell (comedian).
https://www.gov.uk/government/news/david-mitchell-convicted-for-covering-road-with-potatoes-and-silt

David Mitchell convicted for covering road with potatoes and silt
Huge loss of soil from potato field costs farmer over £40,000 for polluting river, with potatoes and silt escaping into the road.

Extreme Learning Machines for Exoplanet Simulations: A Faster, Lightweight Alternative to Deep Learning
Tara P. A. Tahseen, Lu\'is F. Sim\~oes, Kai Hou Yip, Nikolaos Nikolaou, Jo\~ao M. Mendon\c{c}a, Ingo P. Waldmann
https://arxiv.org/abs/2506.19679

Extreme Learning Machines for Exoplanet Simulations: A Faster, Lightweight Alternative to Deep Learning
Increasing resolution and coverage of astrophysical and climate data necessitates increasingly sophisticated models, often pushing the limits of computational feasibility. While emulation methods can reduce calculation costs, the neural architectures typically used--optimised via gradient descent--are themselves computationally expensive to train, particularly in terms of data generation requirements. This paper investigates the utility of the Extreme Learning Machine (ELM) as a lightweight, no…

Trump’s ‘gas-guzzling’ parade will produce planet-heating pollution costs, analysis says https://www.theguardian.com/us-news/2025/jun/13/trump-military-parade-pollution-emissions

Combative Hegseth Repeatedly Refuses To Answer Questions About Costs Of Deploying Marines To LA - Joe.My.God.
https://www.joemygod.com/2025/06/combative-hegseth-repeatedly-refuses-to-answer-questions-about-costs-of-deploying-marines-to-la/

DHL, UPS, FedEx, and Walmart are using robots to boost warehouse efficiency and cut costs, including automating the physically demanding task of loading trucks (Esther Fung/Wall Street Journal)
https://www.

Estimating Deprivation Cost Functions for Power Outages During Disasters: A Discrete Choice Modeling Approach
Xiangpeng Li, Mona Ahmadiani, Richard Woodward, Bo Li, Arnold Vedlitz, Ali Mostafavi
https://arxiv.org/abs/2506.16993

Estimating Deprivation Cost Functions for Power Outages During Disasters: A Discrete Choice Modeling Approach
Systems for the generation and distribution of electrical power represents critical infrastructure and, when extreme weather events disrupt such systems, this imposes substantial costs on consumers. These costs can be conceptualized as deprivation costs, an increasing function of time without service, quantifiable through individuals' willingness to pay for power restoration. Despite widespread recognition of outage impacts, a gap in the research literature exists regarding the systematic measu…

PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching
Haotong Du, Yaqing Wang, Fei Xiong, Lei Shao, Ming Liu, Hao Gu, Quanming Yao, Zhen Wang
https://arxiv.org/abs/2506.18382

PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching
With the expansion of business scales and scopes on online platforms, multi-scenario matching has become a mainstream solution to reduce maintenance costs and alleviate data sparsity. The key to effective multi-scenario recommendation lies in capturing both user preferences shared across all scenarios and scenario-aware preferences specific to each scenario. However, existing methods often overlook user-specific modeling, limiting the generation of personalized user representations. To address …

HI-SQL: Optimizing Text-to-SQL Systems through Dynamic Hint Integration
Ganesh Parab, Zishan Ahmad, Dagnachew Birru
https://arxiv.org/abs/2506.18916 https:…

HI-SQL: Optimizing Text-to-SQL Systems through Dynamic Hint Integration
Text-to-SQL generation bridges the gap between natural language and databases, enabling users to query data without requiring SQL expertise. While large language models (LLMs) have significantly advanced the field, challenges remain in handling complex queries that involve multi-table joins, nested conditions, and intricate operations. Existing methods often rely on multi-step pipelines that incur high computational costs, increase latency, and are prone to error propagation. To address these l…

We see cops going crazy.
There will be lawsuits.
Cops and the places that hire them will incur legal costs and even higher payouts for damages.
This is likely to force cities to raise taxes to cover those costs or, more likely, to cover the massive increase in insurance premiums that cities will have to pay in the future.
Of course, ultimately it will be you and me - taxpayers - who foot these bills for the insane excesses of cops.

Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control
Adrian Caspari, Thomas Bierweiler, Sarah Fadda, Daniel Labisch, Maarten Nauta, Franzisko Wagner, Merle Warmbold, Constantinos C. Pantelides
https://arxiv.org/abs/2506.18344

Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control
Mathematical models are crucial for optimizing and controlling chemical processes, yet they often face significant limitations in terms of computational time, algorithm complexity, and development costs. Hybrid models, which combine mechanistic models with data-driven models (i.e. models derived via the application of machine learning to experimental data), have emerged as a promising solution to these challenges. However, the identification of dynamic hybrid models remains difficult due to the…

Continuous Map Matching to Paths under Travel Time Constraints
Yannick Bosch, Sabine Storandt
https://arxiv.org/abs/2506.18354 https://

Continuous Map Matching to Paths under Travel Time Constraints
In this paper, we study the problem of map matching with travel time constraints. Given a sequence of $k$ spatio-temporal measurements and an embedded path graph with travel time costs, the goal is to snap each measurement to a close-by location in the graph, such that consecutive locations can be reached from one another along the path within the timestamp difference of the respective measurements. This problem arises in public transit data processing as well as in map matching of movement tra…

Cost for research -- how cost data of research can be included in open metadata to be reused and evaluated
Julia Bartlewski, Christoph Broschinski, Gernot Deinzer, Cornelia Lang, Dirk Pieper, Bianca Schweighofer, Colin Sippl, Lisa-Marie Stein, Alexander Wagner, Silke Weisheit
https://arxiv.org/abs/2506.18517

Cost for research -- how cost data of research can be included in open metadata to be reused and evaluated
The openCost project aims to enhance transparency in research funding by making publication-related costs publicly accessible, following FAIR principles. It introduces a metadata schema for cost data, allowing aggregation and analysis across institutions. The project promotes open access and cost-efficient models, benefiting academic institutions, funders, and policymakers.

Katie Porter for California Governor
Deadline June 30
https://katieporter.com
https://www.instagra…

Katie Porter for Governor | Official Campaign Website
What California needs is a little bit of hope and a whole lot of grit. Join our team today to help Katie Porter stand up to Donald Trump and lower costs for Californians.

Another data point - flights to/from #Japan and the #UnitedStates #US are the cheapest I've seen since, basically, the border reopened to tourism back in 2022.

TrainVerify: Equivalence-Based Verification for Distributed LLM Training
Yunchi Lu, Youshan Miao, Cheng Tan, Peng Huang, Yi Zhu, Xian Zhang, Fan Yang
https://arxiv.org/abs/2506.15961

TrainVerify: Equivalence-Based Verification for Distributed LLM Training
Training large language models (LLMs) at scale requires parallel execution across thousands of devices, incurring enormous computational costs. Yet, these costly distributed trainings are rarely verified, leaving them prone to silent errors and potentially wasting millions of GPU hours. We introduce TrainVerify, a system for verifiable distributed training of LLMs. Given a deep learning model's logical specification as the ground truth, TrainVerify formally verifies that a distributed parallel …

Extraordinarily Expensive Costs Force Getty to Pick Its AI Legal Battles (Ars Technica, 28 May 2025)
https://arstechnica.com/tech-policy/2025/05/extraordinarily-expensive-costs-force-getty-to-pick-its-ai-legal-battles/…

It’s too expensive to fight every AI copyright battle, Getty CEO says
Getty dumped “millions and millions” into just one AI copyright fight, CEO says.

A family of graph GOSPA metrics for graphs with different sizes
Jinhao Gu, \'Angel F. Garc\'ia-Fern\'andez, Robert E. Firth, Lennart Svensson
https://arxiv.org/abs/2506.17316

A family of graph GOSPA metrics for graphs with different sizes
This paper proposes a family of graph metrics for measuring distances between graphs of different sizes. The proposed metric family defines a general form of the graph generalised optimal sub-pattern assignment (GOSPA) metric and is also proved to satisfy the metric properties. Similarly to the graph GOSPA metric, the proposed graph GOSPA metric family also penalises the node attribute costs for assigned nodes between the two graphs, and the number of unassigned nodes. However, the proposed fam…

Did you know Australia exports 70% of its agricultural production, yet 3.4 million Australian suffered from food insecurity last year? # FoodSecurity # CSIRO
https://www.csiro.au/en/news/All/News/2025

First national stocktake of Australia's food system reveals hidden costs and big opportunities
A new report shines a light on the complex challenges and opportunities facing Australia's $800 billion food system.

With my MastodonFedivers character I gathered for 30 minutes after consuming a pork pie( 15% yield in everything gathered!) I got these:
* 143 ore 5.0 - 35k
* 192 ore 4.0 - 16k
* 16 logs 4.2 - 9k
* 38 ore 4.1 - 7k
* 14 logs 4.1 - 1k
profit after selling it all:
* 68k
costs:
* 10k in repair costs(or 13k)
* 4k tp to ML
* 1 pork pie 5.3k
full T5 ore gear including Avalonian Pickaxe was used.

Expectations high for $8 million Cowboys FA, former first-round pick to work out issues https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/06/11/dallas-cowboys-trade-costs-kenneth-murray/84054658007/…

Octopus is scaling up #V2G with a bundled package that includes electric vehicle (BYD Dolphin) leasing, a bidirectional AC wallbox and a smart tariff. This guarantees 'zero charging costs' for the entire lease period.
https://octopusev.c…

Power Pack Bundle
Octopus Electric Vehicles - home of electric vehicle leasing for personal or business, and the electric car bundle, including charging and cheap renewable electricity to help you on your journey to electric.

Data warehouses, lakes, lakehouses, and more – our choices significantly affect operational costs and development speed. Join Lars Albertsson at Berlin Buzzwords to explore how different data processing paradigms impact deployment, failure handling, and data quality. Learn strategies to minimise costs and latency, bridge between paradigms, and enhance development iteration and operational efficiency.
Learn more:

„While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four months, #LLM users consistently underperformed at neural, linguistic, and behavioral levels.“ #AI

Delta: A Learned Mixed Cost-based Query Optimization Framework
Jiazhen Peng, Zheng Qu, Xiaoye Miao, Rong Zhu
https://arxiv.org/abs/2506.15848 https://

Delta: A Learned Mixed Cost-based Query Optimization Framework
Query optimizer is a crucial module for database management systems. Existing optimizers exhibit two flawed paradigms: (1) cost-based optimizers use dynamic programming with cost models but face search space explosion and heuristic pruning constraints; (2) value-based ones train value networks to enable efficient beam search, but incur higher training costs and lower accuracy. They also lack mechanisms to detect queries where they may perform poorly. To determine more efficient plans, we propos…

New study on the effects of LLM use (in this case on essay writing):
https://arxiv.org/abs/2506.08872
Quote:
"LLM users also struggled to accurately quote their own work. While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four month…

Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task
This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition. In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM). A total of 54 participants took part in Sessions 1-3, with 18 completing session 4. We used electroencephalo…

I shy away from the "Apple philosophy" with all my might, but there are many companies that apply it. I have a high-end 3D printer with a closed ecosystem, nothing that frightens an Apple user, but it terrifies me. Why? Because a simple (bad) printing bed costs more than 120 euros.
It's not a question of whether I can afford it, it's that I don't want to do it.
Fuck them, I'm going to get a Chinese one (and probably better) for half the price.

MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration
Yucheng Zhou, Lingran Song, Jianbing Shen
https://arxiv.org/abs/2506.19835 …

MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration
Recent advancements in medical Large Language Models (LLMs) have showcased their powerful reasoning and diagnostic capabilities. Despite their success, current unified multimodal medical LLMs face limitations in knowledge update costs, comprehensiveness, and flexibility. To address these challenges, we introduce the Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis (MAM). Inspired by our empirical findings highlighting the benefits of role assignment and diagnostic discernment in …

#WristCheck for an insanely good value watch. The brand is Militado and modelled on US field watches. It cost me $47.53🇺🇸 with all tax and delivery costs included. 38mm, with double domed, sapphire crystal ( AR coating), steel sand blasted case, screw down crown providing 200m water resistance and a Seiko VH31 movement with higher than average quartz accuracy plus 4 ticks per second hand …

"Poland pilots solar arrays near major highway"
#Poland #Solar #SolarPower #Energy

Poland pilots solar arrays near major highway
Poland has installed solar arrays along the S5 expressway as part of a project to cut infrastructure operating costs. Surplus electricity will feed the grid or supply electric vehicle charging stations.

If 1/2 of the road space would be reserved for slow traffic:
👉 1/2 of the passenger kilometres travelled by car can be shifted to public transport, e-bikes, bicycles & walking
👉 CO₂ emissions could be cut by 40%
👉 a reduction in accidents could save up to 76 million Swiss francs annually
👉 Mobility will also become cheaper for households
👉 from current damages of around 500 million Swiss francs into long-term benefits of around 1 billion
Nice visualisations…

“The lack of vision has led transport policy down a dead end.”
Cities can expand their bike lane networks significantly without causing additional congestion on the roads. That is the conclusion reached by the ETH research project E-Bike City. Project lead and transport researcher Kay Axhausen explains the implications for traffic, the environment and costs. 

Role, cost, and complexity of software in the real-world: a case for formal methods
Giovanni Bernardi, Adrian Francalanza, Marco Peressotti, Mohammad Reza Mousavi
https://arxiv.org/abs/2506.13821

Role, cost, and complexity of software in the real-world: a case for formal methods
In this chapter we outline the role that software has in modern society, along with the staggering costs of poor software quality. To lay this bare, we recall the costs of some of the major software failures that happened during the last~$40$ years. We argue that these costs justify researching, studying and applying formal software verification and in particular program analysis. This position is supported by successful industrial experiences.

Delays, reshoots, and inflation have driven up the budgets of this year's summer blockbusters, with Superman costing $400M when including marketing spends (Pamela McClintock/The Hollywood Reporter)
https://www.hollywoodreporter.co…

Would You Pay $400 Million for This Movie?
Between delays, reshoots and rising costs, this year's summer blockbusters are racking up astronomically high price tags when factoring in marketing costs. Can the box office keep up?

Senate GOP's plan to push food aid costs onto states axed from megabill (Grace Yarrow/Politico)
https://www.politico.com/news/2025/06/21/senate-republicans-snap-cost-share-plan-axed-megabill-00416367
http://www.memeorandum.com/250621/p20#a250621p20

Spain-based Multiverse Computing, which makes tools to compress LLMs by up to 95% using "quantum-inspired" networks, raised a €189M Series B and has 100 clients (Julie Bort/TechCrunch)
https://techcrunch.com/2025/06/12/mult

Multiverse Computing raises $215M for tech that could radically slim AI costs | TechCrunch
Spanish startup Multiverse Computing announced that it raised an enormous Series B round on the strength of a technology it calls “CompactifAI.”

Efficient and Generalizable Speaker Diarization via Structured Pruning of Self-Supervised Models
Jiangyu Han, Petr P\'alka, Marc Delcroix, Federico Landini, Johan Rohdin, Jan Cernock\'y, Luk\'a\v{s} Burget
https://arxiv.org/abs/2506.18623

Efficient and Generalizable Speaker Diarization via Structured Pruning of Self-Supervised Models
Self-supervised learning (SSL) models such as WavLM have brought substantial improvements to speaker diarization by providing rich contextual representations. However, the high computational and memory costs of these models hinder their deployment in real-time and resource-constrained scenarios. In this work, we present a comprehensive study on compressing SSL-based diarization models through structured pruning guided by knowledge distillation. Building upon our previous work, we extend the ana…

"Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task"
https://doi.org/10.48550/arXiv.2506.08872
"[…] While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four mont…

"The [Tesla] owners are demanding that their lease contracts be terminated and reimbursed for the accrued legal costs."
☑️ Tesla Drivers Sue Elon Musk for Turning Their Cars Into "Extreme" Right-Wing Symbols
https://futurism.com/the-byte/tesla-dr

Tesla Drivers Sue Elon Musk for Turning Their Cars Into "Extreme" Right-Wing Symbols
Tesla drivers in France are suing Elon Musk's EV maker for turning their vehicles into what they characterize as "extreme-right" symbols.

A Digital Twin Framework for Generation-IV Reactors with Reinforcement Learning-Enabled Health-Aware Supervisory Control
Jasmin Y. Lim, Dimitrios Pylorof, Humberto E. Garcia, Karthik Duraisamy
https://arxiv.org/abs/2506.17258

A Digital Twin Framework for Generation-IV Reactors with Reinforcement Learning-Enabled Health-Aware Supervisory Control
Generation IV (Gen-IV) nuclear power plants are envisioned to replace the current reactor fleet, bringing improvements in performance, safety, reliability, and sustainability. However, large cost investments currently inhibit the deployment of these advanced reactor concepts. Digital twins bridge real-world systems with digital tools to reduce costs, enhance decision-making, and boost operational efficiency. In this work, a digital twin framework is designed to operate the Gen-IV Fluoride-salt-…

Micah Parsons loses his mind over the price of a chocolate-covered strawberry https://www.si.com/nfl/cowboys/news/micah-parsons-loses-his-mind-over-the-price-of-a-chocolate-covered-strawberry

Refining Ray-Tracing Accuracy and Efficiency in the Context of FRMCS Urban Railway Channel Predictions
Romain Charbonnier, Thierry Tenoux, Yoann Corre
https://arxiv.org/abs/2506.16236

Refining Ray-Tracing Accuracy and Efficiency in the Context of FRMCS Urban Railway Channel Predictions
The upcoming roll-out of the new wireless communication standard for wireless railway services, FRMCS, requires a thorough understanding of the system performance in real-world conditions, since this will strongly influence the deployment costs and the effectiveness of an infrastructure planned for decades. The virtual testing of the equipment and network performance in realistic simulated scenarios is key; its accuracy depends on the reliability of the predicted radio channel properties. In th…

Communication Architecture for Autonomous Power-to-X Platforms: Enhancing Inspection and Operation With Legged Robots and 5G
Peter Frank, Falk Dettinger, Daniel Dittler, Pascal H\"abig, Nasser Jazdi, Kai Hufendiek, Michael Weyrich
https://arxiv.org/abs/2506.18572

Communication Architecture for Autonomous Power-to-X Platforms: Enhancing Inspection and Operation With Legged Robots and 5G
Inspection and maintenance of offshore platforms are associated with high costs, primarily due to the significant personnel requirements and challenging operational conditions. This paper first presents a classification of Power to X platforms. Building upon this foundation, a communication architecture is proposed to enable monitoring, control, and teleoperation for a Power to X platform. To reduce the demand for human labor, a robotic system is integrated to autonomously perform inspection an…

I just got a request from the US FAA to sign an addendum on a purchase of one of our products.
This seems weird and redundant - kinda like something triggered by the DOG-E gang. But I have not yet found any actual explanation.
"Nothing contained in the Agreement will obligate the United States Government to indemnify any indemnified
person(s) for damages, costs, fees, or any other loss or liability that would create an Anti-Deficiency Act
violation (31 U.S.C. §134…

The Real Costs of Trump's Parade (Will Selber/The Bulwark)
https://www.thebulwark.com/p/the-real-costs-of-trump-parade
http://www.memeorandum.com/250613/p36#a250613p36

Spatial Optimization of Autonomous Vehicle Assignment Based on Distance-Driven Demand and Customer Patience
Niloufar Mirzavand Boroujeni, Nasim Mirzavand Boroujeni, Nima Moradi, Saeed Jamalzadeh
https://arxiv.org/abs/2506.12671

Spatial Optimization of Autonomous Vehicle Assignment Based on Distance-Driven Demand and Customer Patience
Autonomous vehicles (AVs) can improve efficiency, reduce costs, and enhance road safety. They optimize traffic flow, minimize congestion, and support sustainability through shared mobility and reduced fuel consumption. A key challenge in AV deployment is allocating vehicles to parking lots across regions to meet fluctuating demand. Proper allocation reduces delays, lowers costs, and boosts user satisfaction by ensuring timely vehicle availability. This paper explores the impact of customer wait…

AI-Driven Tools in Modern Software Quality Assurance: An Assessment of Benefits, Challenges, and Future Directions
Ihor Pysmennyi, Roman Kyslyi, Kyrylo Kleshch
https://arxiv.org/abs/2506.16586

AI-Driven Tools in Modern Software Quality Assurance: An Assessment of Benefits, Challenges, and Future Directions
Traditional quality assurance (QA) methods face significant challenges in addressing the complexity, scale, and rapid iteration cycles of modern software systems and are strained by limited resources available, leading to substantial costs associated with poor quality. The object of this research is the Quality Assurance processes for modern distributed software applications. The subject of the research is the assessment of the benefits, challenges, and prospects of integrating modern AI-orient…

Very early in the commercial registrar era, some registrars priced domains in harmony with their costs: no teaser marketing, just discounts on buying multiple future years at once. Even after everyone stopped giving out-year discounts explicitly, the fact of inflation in upstream fees made it wise for legitimate domain holders to buy many years in advance.
I am close to wanting a return to the InterNIC model. DNS Marxism.

The Spamhaus Project (@spamhaus@infosec.exchange)
Attached: 1 image Over the past 30 days, six gTLDs have ranked in the Top 10 for being associated with botnet C2s - all showing significant increases in detections 📈: .tech (+4,000%), .icu (+433%), .today (+429%), .fun (+400%), .digital (+314%), and .life (+258%). 🌐 Full stats over at: https://www.spamhaus.org/reputation-statistics/gtlds/domains/ These TLDs are all cheap to register (as low as $0.98 using a promo code 🤑), but expensive to renew. Perfect conditions for throwaway dom…

How flexible do we need to be? Using electricity systems models to identify optimal designs for flexible carbon capture storage system for gas-fired power plants
Fangwei Cheng, Qian Luo, Jesse Jenkins
https://arxiv.org/abs/2506.18626

How flexible do we need to be? Using electricity systems models to identify optimal designs for flexible carbon capture storage system for gas-fired power plants
As the share of variable renewable energy in power systems grows, enhancing the operational flexibility of combined cycle gas turbines with carbon capture and storage (CCGT-CCS) becomes increasingly valuable. This study integrates techno-economic analysis with capacity expansion modeling to quantify the value of improved CCGT-CCS flexibility-such as lower start-up costs, reduced minimum generation, faster ramping, and shorter up/down times-at both plant and system levels. Using the Texas power …

Paris s'éveille
Hype, the world’s largest hydrogen taxi operator, is to cease operating its fleet of hydrogen taxis in the Paris area
When the reality of #hydrogen costs hits home (and you still don't want to believe it)

'A form of oligopoly' | World’s largest hydrogen taxi operator hurls accusations at supply giants as it quits H2 in Paris
Hype argues that Air Liquide and TotalEnergies have presided over doubling of H2 prices in four years — which it says is blocking a credible path to green hydrogen use

"Study Says Clean Energy Rollbacks Will Cost Economy $1.1 Trillion by 2035"
#Energy #Renewables

Study Says Clean Energy Rollbacks Will Cost Economy $1.1 Trillion by 2035 - Inside Climate News
As the Trump administration makes the economic case for the repeal of climate policies, sobering numbers emerge on health and energy costs.

Israel-Iran conflict could last only as long as their missiles hold out
The intensity of Iran’s barrages seems to be waning nas it uses up its stock of missiles.
Israel, meantime, is running through its supply of expensive missile interceptors.
The Marker, a leading Israeli financial newspaper, reported that missile defense costs Israel as much as 1 billion shekels,
or roughly $285 million, a night.

Israel-Iran conflict could last only as long as their missiles hold out
The intensity of Iran’s barrages seems to waning as it uses up its stock. Israel, meantime, is running through its supply of expensive missile interceptors.

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
Zijian Zhou, Ao Qu, Zhaoxuan Wu, Sunghwan Kim, Alok Prakash, Daniela Rus, Jinhua Zhao, Bryan Kian Hsiang Low, Paul Pu Liang
https://arxiv.org/abs/2506.15841

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
Modern language agents must operate over long-horizon, multi-turn interactions, where they retrieve external information, adapt to observations, and answer interdependent queries. Yet, most LLM systems rely on full-context prompting, appending all past turns regardless of their relevance. This leads to unbounded memory growth, increased computational costs, and degraded reasoning performance on out-of-distribution input lengths. We introduce MEM1, an end-to-end reinforcement learning framework …

Towards Real-time Structural Dynamics Simulation with Graph-based Digital Twin Modelling
Jun Zhang, Tong Zhang, Ying Wang
https://arxiv.org/abs/2506.18724 …

Towards Real-time Structural Dynamics Simulation with Graph-based Digital Twin Modelling
Precise and timely simulation of a structure's dynamic behavior is crucial for evaluating its performance and assessing its health status. Traditional numerical methods are often limited by high computational costs and low efficiency, while deep learning approaches offer a promising alternative. However, these data-driven methods still face challenges, such as limited physical interpretability and difficulty in adapting to diverse structural configurations. To address these issues, this study p…

Boston-based cloud cost management startup CloudZero raised a $56M Series C led by BlueCrest Capital Management and Innovius Capital (Chris Metinko/Axios)
https://www.axios.com/pro/enterprise-software-deals/2025/05/…

Exclusive: CloudZero raises $56M to tame cloud costs
Companies' cloud spending has shot up because of AI rollouts.

On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention
Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella
https://arxiv.org/abs/2506.09316

On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention
Large language models (LLMs) excel at capturing global token dependencies via self-attention but face prohibitive compute and memory costs on lengthy inputs. While sub-quadratic methods (e.g., linear attention) can reduce these costs, they often degrade accuracy due to overemphasizing recent tokens. In this work, we first propose \textit{dual-state linear attention} (\textbf{\dsla}), a novel design that maintains two specialized hidden states-one for preserving historical context and one for tr…

Great example of how ⚡ (delivery) fleets can be made smarter by optimising charging based on dynamic energy prices and renewables, as well as providing FRR grid support.
This saves operating costs for the fleet operator and lowers energy system costs for all.
https://www.autosense.ch/blog/med…

It is not AI that is driving tech layoffs. It’s the massive change in R&D writeoff rules that kicked in for TY2022, from the 2017 Trump tax bill.
The ability to “expense” R&D costs was in place for decades and arguably drove US innovation by making it cheap. Now R&D is amortized over 5 years for US work, 15 years for non-US work. The current reconciliation bill would bring back expensing of domestic R&D costs.

Neural-operator element method: Efficient and scalable finite element method enabled by reusable neural operators
Weihang Ouyang, Yeonjong Shin, Si-Wei Liu, Lu Lu
https://arxiv.org/abs/2506.18427

Neural-operator element method: Efficient and scalable finite element method enabled by reusable neural operators
The finite element method (FEM) is a well-established numerical method for solving partial differential equations (PDEs). However, its mesh-based nature gives rise to substantial computational costs, especially for complex multiscale simulations. Emerging machine learning-based methods (e.g., neural operators) provide data-driven solutions to PDEs, yet they present challenges, including high training cost and low model reusability. Here, we propose the neural-operator element method (NOEM) by s…

Sources: xAI is burning through $1B/month and expects to burn through ~$13B in 2025; revenues are expected to be just $500M this year, rising to $2B next year (Bloomberg)

"Spain aims to ban flushing of wet wipes, with manufacturers paying for cleanup"
#Spain #Pollution

Exact Conditional Score-Guided Generative Modeling for Amortized Inference in Uncertainty Quantification
Zezhong Zhang, Caroline Tatsuoka, Dongbin Xiu, Guannan Zhang
https://arxiv.org/abs/2506.18227

Exact Conditional Score-Guided Generative Modeling for Amortized Inference in Uncertainty Quantification
We propose an efficient framework for amortized conditional inference by leveraging exact conditional score-guided diffusion models to train a non-reversible neural network as a conditional generative model. Traditional normalizing flow methods require reversible architectures, which can limit their expressiveness and efficiency. Although diffusion models offer greater flexibility, they often suffer from high computational costs during inference. To combine the strengths of both approaches, we …

Techno-economic optimization of hybrid steam-electric energy systems with excess heat utilization and reserve market participation
Olav Galteland, Jacob Hadler-Jacobsen, Hanne Kauko
https://arxiv.org/abs/2506.14252

Techno-economic optimization of hybrid steam-electric energy systems with excess heat utilization and reserve market participation
This study investigates the economic viability and optimal configuration of a hybrid industrial energy system combining an electrode boiler, steam accumulator, and battery energy storage system (BESS). This study optimizes system operation for a specific configuration to minimize net energy costs, defined as energy costs minus profits from price arbitrage and reserve markets. The optimization uses load shifting, peak shaving, and frequency containment reserve market participation with hourly 20…

For Trump,
“it’s no billionaire left behind
— and good luck to everyone else.”
“It’s telling that President Trump has chosen to release his budget on a Friday night with no fanfare whatsoever,”
said Sen. Patty Murray (D-Wash.), ranking member of the Senate Budget Committee,
following the administration’s release of approximately 1,200 pages of budget documents.
“That’s probably because his budget would raise costs for working people,
destroy basic s…

'No Billionaire Left Behind' in Trump Budget Request That Trashes Workers, Struggling Families | Common Dreams
One expert critic said the updated request "confirms once again that the president continues to break his promises to lower families' costs and help people who are struggling to make ends meet."

NYC-based Zorro, whose AI-powered software helps clients' workers navigate health insurance and benefits options, raised a $20M Series A led by Entrée Capital (Erin Brodwin/Axios)
https://www.axios.com/pro/health-tech-deals/2…

Exclusive: Zorro clinches $20M Series A for ICHRA health plans
As employers wrestle with rising costs, the group plan alternative is gaining steam.

Garmin unveils the $799 Venu X1 smartwatch with a 2" square AMOLED screen, a titanium body, an eight-day battery, and a blood oxygen monitor, coming on June 18 (Emma Roth/The Verge)
https://www.theverge.com/news/686325/garmin-venu-x1-smart…

Garmin’s Venu X1 smartwatch has its biggest display and smallest case yet
Garmin has revealed the Venu X1, a premium smartwatch that features a two-inch display and its thinnest case yet. The watch costs $799.99 and launches on June 18th, 2025.