Tootfinder

Do. Not. Use. Telegram.
Just don't.
https://mastodon.cloud/@OCCRP/114658534580027225

This https://arxiv.org/abs/2411.02829 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration
Large Language Models (LLMs) exhibit remarkable human-like predictive capabilities. However, it is challenging to deploy LLMs to provide efficient and adaptive inference services at the edge. This paper proposes a novel Cloud-Edge Collaboration framework for LLMs (CE-CoLLM) to tackle these challenges. First, we identify the transmission of LLM contextual data between the cloud and edge as a key performance bottleneck, which introduces substantial communication overhead that dominates overall in…

In Europe and other regions we have laws mandating that electronic devices must be properly labelled with information about their energy consumption and some other externalities...
We should demand equivalent or at least similar measures for commercially distributed software, same for cloud services.
It would be a fun experience for us, software devs, being forced to acknowledge how terribly bad is the software we create.
We should be held accountable.
#software #ecologism

AWS = Amazon = Jeff Bezos, auf dem Schoß von Trump.
Corporate Presence.
European sovereign cloud.
Merkste selbst.
Souverän? Wer ist da souverän? Was bedeutet dieses sinnentleerte Wort? Nichts.
AWS establishes new German corporate presence to advance European sovereign cloud | TechCrunch

OpenAI rolls out connectors for services like Dropbox and OneDrive for ChatGPT Team, Enterprise, and Edu users; MCP support is coming to Pro, Team, Enterprise (Ivan Mehta/TechCrunch)
https://techcrunch.com/2025/06/04/chat

ChatGPT introduces meeting recording and connectors for Google Drive, Box, and more | TechCrunch
OpenAI's ChatGPT is adding new features for business users, including integrations with different cloud services, meeting recording, and MCP connection

(1/2) Here is the link to a webpage featuring the 32 InfoPics my 7th grade students created to advertise our local “World Refugee Day” on Saturday, June 21, 2025, as well as the overall, important work of Refugee Support Services (RSS) of Charlotte, North Carolina:
https://lessons.wesfryer.com/courses/c

Lessons by Dr. Wesley Fryer (wesfryer.com) - RSS
These are InfoPics 7th graders at Providence Day School in Charlotte, North Carolina, created in May 2025 to support and amplify the work of Refugee Support Services (RSS) of Charlotte, a local non-profit connected with our office of community engagement. Please use them to share about RSS, amplify

Cloud-Based Interoperability in Residential Energy Systems
Darren Leniston, David Ryan, Ammar Malik, Jack Jackman, Terence O'Donnell
https://arxiv.org/abs/2506.05076

Cloud-Based Interoperability in Residential Energy Systems
As distributed energy resources (DERs) such as solar PV, batteries and electric vehicles become increasingly prevalent at the edge, maintaining grid stability requires advanced monitoring and control mechanisms. This paper presents a scalable smart grid gateway architecture that enables interoperability between Modbus-based inverters and IEEE 2030.5 cloud-based control systems. The proposed solution leverages Azure cloud services and edge-computing gateway devices to support dynamic configurati…

Interested in how "sovereign EU" AWS will work with Cloudfront and Trust Services (certificates) as these still currently require the use of us-east-1... and the subsequent agreement to submit to US courts for disputes.
https://www.theregister.com/2025/06/03/aws

AWS forms EU-based cloud unit as customers fret about Trump 2.0
: Locally run, Euro-controlled, ‘legally independent,' and ready by the end of 2025

Offenbar ist #Brandenburg mit Tesla noch nicht genug gestraft. Amazon will auch was vom Wasser.
Und nein, mit 'Souveränität' hat es nichts zu tun, wenn einer von Trumps Buddys hier mehr Geld verdienen will.
Ort ist noch geheim: Internet, kriegen wir das raus?
Amazon will als Cloud-Anbieter 8 Milliarden Euro in Brandenburg investieren | rbb24

SECNEURON: Reliable and Flexible Abuse Control in Local LLMs via Hybrid Neuron Encryption
Zhiqiang Wang, Haohua Du, Junyang Wang, Haifeng Sun, Kaiwen Guo, Haikuo Yu, Chao Liu, Xiang-Yang Li
https://arxiv.org/abs/2506.05242

SECNEURON: Reliable and Flexible Abuse Control in Local LLMs via Hybrid Neuron Encryption
Large language models (LLMs) with diverse capabilities are increasingly being deployed in local environments, presenting significant security and controllability challenges. These locally deployed LLMs operate outside the direct control of developers, rendering them more susceptible to abuse. Existing mitigation techniques mainly designed for cloud-based LLM services are frequently circumvented or ineffective in deployer-controlled environments. We propose SECNEURON, the first framework that se…

Does anyone have an IEEE DataPort subscription through your work or institution and would be open to sharing some files?
I'd love to get https://ieee-dataport.org/documents/cloud-telescope-internet-background-radiation-may-2023…

This https://arxiv.org/abs/2501.07849 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation
Large Language Models (LLMs) have emerged as the new recommendation engines, surpassing traditional methods in both capability and scope, particularly in code generation. In this paper, we reveal a novel provider bias in LLMs: without explicit directives, these models show systematic preferences for services from specific providers in their recommendations (e.g., favoring Google Cloud over Microsoft Azure). To systematically investigate this bias, we develop an automated pipeline to construct t…

A Global-scale Database of Seismic Phases from Cloud-based Picking at Petabyte Scale
Yiyu Ni, Marine A. Denolle, Amanda M. Thomas, Alex Hamilton, Jannes M\"unchmeyer, Yinzhi Wang, Lo\"ic Bachelot, Chad Trabant, David Mencin
https://arxiv.org/abs/2505.18874

A Global-scale Database of Seismic Phases from Cloud-based Picking at Petabyte Scale
We present the first global-scale database of 4.3 billion P- and S-wave picks extracted from 1.3 PB continuous seismic data via a cloud-native workflow. Using cloud computing services on Amazon Web Services, we launched ~145,000 containerized jobs on continuous records from 47,354 stations spanning 2002-2025, completing in under three days. Phase arrivals were identified with a deep learning model, PhaseNet, through an open-source Python ecosystem for deep learning, SeisBench. To visualize and …

Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives
Ander Artola Velasco, Stratis Tsirtsis, Nastaran Okati, Manuel Gomez-Rodriguez
https://arxiv.org/abs/2505.21627

Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives
State-of-the-art large language models require specialized hardware and substantial energy to operate. As a consequence, cloud-based services that provide access to large language models have become very popular. In these services, the price users pay for an output provided by a model depends on the number of tokens the model uses to generate it -- they pay a fixed price per token. In this work, we show that this pricing mechanism creates a financial incentive for providers to strategize and mi…

While searching for an AWS alternative, I just stumbled upon the website #EuropeanAlternatives https://european-alternatives.eu/ which lists digital services and products from the EU. …

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
Chen Liu, Hengyu Tang, Zhixiao Yang, Ke Zhou, Sangwhan Cha
https://arxiv.org/abs/2506.02008 …

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
In the age of digital finance, detecting fraudulent transactions and money laundering is critical for financial institutions. This paper presents a scalable and efficient solution using Big Data tools and machine learning models. We utilize realtime data streaming platforms like Apache Kafka and Flink, distributed processing frameworks such as Apache Spark, and cloud storage services AWS S3 and RDS. A synthetic dataset representing real-world Anti-Money Laundering (AML) challenges is employed t…

This type of reasoning is always baffling to me. When climate change is discussed these people always say that there is some magical technological solution that will pop up to save us (usually handed to us by the AI gods).
Why then, in the the several decades that it takes to scale up nuclear, can we not account for the possibility that AI could become more energy efficient?
That sounds like something you could solve for the cost of a few power plants...

UK needs more nuclear to power AI, says Amazon Web Services boss
The world's largest cloud computing company plans to spend £8bn on new data centres in the UK over the next four years.

This https://arxiv.org/abs/2505.22862 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Optimal Auction Design for Dynamic Stochastic Environments: Myerson Meets Naor
Allocation of goods and services often involves both stochastic supply and stochastic demand. Motivated by applications such as cloud computing, gig platforms, and blockchain auctions, we study the design of optimal selling mechanisms in an environment where buyers with private valuations arrive stochastically and are assigned goods that also arrive stochastically, and either buyers or goods can be held in a queue at costs until allocation. The optimal mechanism dynamically leverages competitiv…

If you ask your technical team to migrate off US cloud infrastructure, they’ll pull faces and ask “to where!?”
https://www.theregister.com/2025/05/22/ditching_us_clouds_for_local/

'Close to impossible' for Europe to escape clutches of US hyperscalers
: Barriers stack up: Datacenter capacity, egress fees, platform skills, variety of cloud services. It won't happen, say analysts

This https://arxiv.org/abs/2505.16508 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Edge-First Language Model Inference: Models, Metrics, and Tradeoffs
The widespread adoption of Language Models (LMs) across industries is driving interest in deploying these services across the computing continuum, from the cloud to the network edge. This shift aims to reduce costs, lower latency, and improve reliability and privacy. Small Language Models (SLMs), enabled by advances in model compression, are central to this shift, offering a path to on-device inference on resource-constrained edge platforms. This work examines the interplay between edge and clo…

Optimal Auction Design for Dynamic Stochastic Environments: Myerson Meets Naor
Yeon-Koo Che, Andrew B. Choi
https://arxiv.org/abs/2505.22862 https://

Optimal Auction Design for Dynamic Stochastic Environments: Myerson Meets Naor
Allocation of goods and services often involves both stochastic supply and stochastic demand. Motivated by applications such as cloud computing, gig platforms, and blockchain auctions, we study the design of optimal selling mechanisms in an environment where buyers with private valuations arrive stochastically and are assigned goods that also arrive stochastically, and either buyers or goods can be held in a queue at costs until allocation. The optimal mechanism dynamically leverages competitiv…