Tootfinder

Mistral releases Mistral Code, a "vibe coding" client forked from open source project Continue, in private beta on JetBrains platforms and VS Code (Kyle Wiggers/TechCrunch)
https://techcrunch.com/2025/06/04/mistral-releases-a-vibe-co…

Mistral releases a vibe coding client, Mistral Code | TechCrunch
French AI startup Mistral is releasing its own 'vibe coding' client, Mistral Code, to compete with incumbents like Windsurf, Anysphere's Cursor, and GitHub Copilot.

SAKURAONE: Empowering Transparent and Open AI Platforms through Private-Sector HPC Investment in Japan
Fumikazu Konishi
https://arxiv.org/abs/2507.02124 ht…

SAKURAONE: Empowering Transparent and Open AI Platforms through Private-Sector HPC Investment in Japan
SAKURAONE is a managed high performance computing (HPC) cluster developed and operated by the SAKURA Internet Research Center. It reinforces the ``KOKARYOKU PHY'' configuration of bare-metal GPU servers and is designed as a cluster computing resource optimized for advanced workloads, including large language model (LLM) training. In the ISC 2025 edition of the TOP500 list, SAKURAONE was ranked \textbf{49th} in the world based on its High Performance Linpack (HPL) score, demonstrating its glob…

Deterministic Equations for Feedback Control of Open Quantum Systems
Alberto J. B. Rosal, Patrick P. Potts, Gabriel T. Landi
https://arxiv.org/abs/2507.01934

Deterministic Equations for Feedback Control of Open Quantum Systems
Feedback control in open quantum dynamics is crucial for the advancement of various coherent platforms. For a proper theoretical description, however, most feedback schemes rely on stochastic trajectories, which require significant statistical sampling and lack analytical insight. Currently, only a handful of deterministic feedback master equations exist in the literature. In this letter we derive a set of deterministic equations for describing feedback schemes based on generic causal signals. …

Open Source, Open Threats? Investigating Security Challenges in Open-Source Software
Seyed Ali Akhavani, Behzad Ousat, Amin Kharraz
https://arxiv.org/abs/2506.12995

Open Source, Open Threats? Investigating Security Challenges in Open-Source Software
Open-source software (OSS) has become increasingly more popular across different domains. However, this rapid development and widespread adoption come with a security cost. The growing complexity and openness of OSS ecosystems have led to increased exposure to vulnerabilities and attack surfaces. This paper investigates the trends and patterns of reported vulnerabilities within OSS platforms, focusing on the implications of these findings for security practices. To understand the dynamics of OS…

This https://arxiv.org/abs/2412.18407 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

A Statistical Framework for Ranking LLM-Based Chatbots
Large language models (LLMs) have transformed natural language processing, with frameworks like Chatbot Arena providing pioneering platforms for evaluating these models. By facilitating millions of pairwise comparisons based on human judgments, Chatbot Arena has become a cornerstone in LLM evaluation, offering rich datasets for ranking models in open-ended conversational tasks. Building upon this foundation, we propose a statistical framework that incorporates key advancements to address specif…

A Full-Stack Platform Architecture for Self-Organised Social Coordination
Matthew Scott, Jeremy Pitt
https://arxiv.org/abs/2507.01239 https://

A Full-Stack Platform Architecture for Self-Organised Social Coordination
To mitigate the restrictive centralising and monopolistic tendencies of platformisation, we aim to empower local communities by democratising platforms for self-organised social coordination. Our approach is to develop an open-source, full-stack architecture for platform development that supports ease of distribution and cloning, generativity, and a variety of hosting options. The architecture consists of a meta-platform that is used to instantiate a base platform with supporting libraries for …

An open-source Modular Online Psychophysics Platform (MOPP)
Yuval Samoilov-Kats, Matan Noach, Noam Beer, Yuval Efrati, Adam Zaidel
https://arxiv.org/abs/2505.23137

An open-source Modular Online Psychophysics Platform (MOPP)
In recent years, there is a growing need and opportunity to use online platforms for psychophysics research. Online experiments make it possible to evaluate large and diverse populations remotely and quickly, complementing laboratory-based research. However, developing and running online psychophysics experiments poses several challenges: i) a high barrier-to-entry for researchers who often need to learn complex code-based platforms, ii) an uncontrolled experimental environment, and iii) questi…

Works-magnet: Accelerating Metadata Curation for Open Science
Eric Jeangirard
https://arxiv.org/abs/2506.14430 https://arxiv.org/pdf/…

Works-magnet: Accelerating Metadata Curation for Open Science
The transition to Open Science necessitates robust and reliable metadata. While national initiatives, such as the French Open Science Monitor, aim to track this evolution using open data, reliance on proprietary databases persists in many places. Open platforms like OpenAlex still require significant human intervention for data accuracy. This paper introduces Works-magnet, a project by the French Ministry of Higher Education and Research (MESR) Data Science & Engineering Team. Works-magnet is d…

Visualizing Cloud-native Applications with KubeDiagrams
Philippe Merle, Fabio Petrillo
https://arxiv.org/abs/2505.22879 https://arxiv…

Visualizing Cloud-native Applications with KubeDiagrams
Modern distributed applications increasingly rely on cloud-native platforms to abstract the complexity of deployment and scalability. As the de facto orchestration standard, Kubernetes enables this abstraction, but its declarative configuration model makes the architectural understanding difficult. Developers, operators, and architects struggle to form accurate mental models from raw manifests, Helm charts, or cluster state descriptions. We introduce KubeDiagrams, an open-source tool that trans…

This is your regular reminder that open source, self-hosting tools are great AND you don't actually have to host them yourself most of the time! Plenty of great companies offer these tools as a paid-for service - exactly like the subscriptions you have on those other platforms, except more ethical.
I'll share my favourites in the thread - please add yours!

Open Source, Open Threats? Investigating Security Challenges in Open-Source Software
Seyed Ali Akhavani, Behzad Ousat, Amin Kharraz
https://arxiv.org/abs/2506.12995

Open Source, Open Threats? Investigating Security Challenges in Open-Source Software
Open-source software (OSS) has become increasingly more popular across different domains. However, this rapid development and widespread adoption come with a security cost. The growing complexity and openness of OSS ecosystems have led to increased exposure to vulnerabilities and attack surfaces. This paper investigates the trends and patterns of reported vulnerabilities within OSS platforms, focusing on the implications of these findings for security practices. To understand the dynamics of OS…

UAIbot: Beginner-friendly web-based simulator for interactive robotics learning and research
Johnata Brayan, Armando Alves Neto, Pavel Petrovi\v{c}, Gustavo M Freitas, Vinicius Mariano Gon\c{c}alves
https://arxiv.org/abs/2506.21178

UAIbot: Beginner-friendly web-based simulator for interactive robotics learning and research
This paper presents UAIbot, a free and open-source web-based robotics simulator designed to address the educational and research challenges conventional simulation platforms generally face. The Python and JavaScript interfaces of UAIbot enable accessible hands-on learning experiences without cumbersome installations. By allowing users to explore fundamental mathematical and physical principles interactively, ranging from manipulator kinematics to pedestrian flow dynamics, UAIbot provides an eff…

I wish DoubleBlind would join the Fediverse, where censorship is much less of an issue compared to platforms like Twitter, Facebook, and Instagram.
It baffles me that they talk about censorship on major platforms but haven’t moved to the free and open world of the Fediverse yet.
https://doubleblindmag.com

"And we are doing it all with backward compatibility, so gamers could access their favourite titles across platforms." I guess they felt it should be stated even more clearly, since no one was really sure if Xbox console games would be included in this open strategy ->
AMD & Xbox | Advancing the Future of Gaming
https://w…

ClearerVoice-Studio: Bridging Advanced Speech Processing Research and Practical Deployment
Shengkui Zhao, Zexu Pan, Bin Ma
https://arxiv.org/abs/2506.19398

ClearerVoice-Studio: Bridging Advanced Speech Processing Research and Practical Deployment
This paper introduces ClearerVoice-Studio, an open-source, AI-powered speech processing toolkit designed to bridge cutting-edge research and practical application. Unlike broad platforms like SpeechBrain and ESPnet, ClearerVoice-Studio focuses on interconnected speech tasks of speech enhancement, separation, super-resolution, and multimodal target speaker extraction. A key advantage is its state-of-the-art pretrained models, including FRCRN with 3 million uses and MossFormer with 2.5 million us…

Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News
Prachnachai Meakpaiboonwattana, Warittha Tarntong, Thai Mekratanavorakul, Chaiyong Ragkhitwetsagul, Pattaraporn Sangaroonsilp, Raula Kula, Morakot Choetkiertikul, Kenichi Matsumoto, Thanwadee Sunetnanta
https://arxiv.org/abs/2506.12643

Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News
Social media platforms have become more influential than traditional news sources, shaping public discourse and accelerating the spread of information. With the rapid advancement of artificial intelligence (AI), open-source software (OSS) projects can leverage these platforms to gain visibility and attract contributors. In this study, we investigate the relationship between Hacker News, a social news site focused on computer science and entrepreneurship, and the extent to which it influences de…

This https://arxiv.org/abs/2502.00874 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

Paper Copilot Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Process
The rapid growth of submissions to top-tier Artificial Intelligence (AI) and Machine Learning (ML) conferences has prompted many venues to transition from closed to open review platforms. Some have fully embraced open peer reviews, allowing public visibility throughout the process, while others adopt hybrid approaches, such as releasing reviews only after final decisions or keeping reviews private despite using open peer review systems. In this work, we analyze the strengths and limitations of …

NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning
Ashish Gautam, Prasanna Date, Shruti Kulkarni, Robert Patton, Thomas Potok
https://arxiv.org/abs/2506.14138

NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning
Spiking Neural Networks (SNNs) are computational models inspired by the structure and dynamics of biological neuronal networks. Their event-driven nature enables them to achieve high energy efficiency, particularly when deployed on neuromorphic hardware platforms. Unlike conventional Artificial Neural Networks (ANNs), which primarily rely on layered architectures, SNNs naturally support a wide range of connectivity patterns, from traditional layered structures to small-world graphs characterize…

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models
Zenghui Yuan, Yangming Xu, Jiawen Shi, Pan Zhou, Lichao Sun
https://arxiv.org/abs/2505.23561

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models
Model merging for Large Language Models (LLMs) directly fuses the parameters of different models finetuned on various tasks, creating a unified model for multi-domain tasks. However, due to potential vulnerabilities in models available on open-source platforms, model merging is susceptible to backdoor attacks. In this paper, we propose Merge Hijacking, the first backdoor attack targeting model merging in LLMs. The attacker constructs a malicious upload model and releases it. Once a victim user …

This https://arxiv.org/abs/2207.03997 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Tutorial on Event Detection using Social Media Data Analysis: Applications, Challenges, and Open Problems
In recent years, social media has become one of the most popular platforms for communication. These platforms allow users to report real-world incidents that might swiftly and widely circulate throughout the whole social network. A social event is a real-world incident that is documented on social media. Social gatherings could contain vital documentation of crisis scenarios. Monitoring and analyzing this rich content can produce information that is extraordinarily valuable and help people and …

NR4DER: Neural Re-ranking for Diversified Exercise Recommendation
Xinghe Cheng, Xufang Zhou, Liangda Fang, Chaobo He, Yuyu Zhou, Weiqi Luo, Zhiguo Gong, Quanlong Guan
https://arxiv.org/abs/2506.06341

NR4DER: Neural Re-ranking for Diversified Exercise Recommendation
With the widespread adoption of online education platforms, an increasing number of students are gaining new knowledge through Massive Open Online Courses (MOOCs). Exercise recommendation have made strides toward improving student learning outcomes. However, existing methods not only struggle with high dropout rates but also fail to match the diverse learning pace of students. They frequently face difficulties in adjusting to inactive students' learning patterns and in accommodating individuali…

Dissecting the SWE-Bench Leaderboards: Profiling Submitters and Architectures of LLM- and Agent-Based Repair Systems
Matias Martinez, Xavier Franch
https://arxiv.org/abs/2506.17208

Dissecting the SWE-Bench Leaderboards: Profiling Submitters and Architectures of LLM- and Agent-Based Repair Systems
The rapid progress in Automated Program Repair (APR) has been driven by advances in AI, particularly large language models (LLMs) and agent-based systems. SWE-Bench is a recent benchmark designed to evaluate LLM-based repair systems using real issues and pull requests mined from 12 popular open-source Python repositories. Its public leaderboards, SWE-Bench Lite and SWE-Bench Verified, have become central platforms for tracking progress and comparing solutions. However, because the submission pr…

"But there were technologists and open source projects in attendance. Notably, representatives from the Mastodon and Bluesky teams were at the Festival. The Newsmast Foundation was also present, incisively taking part in conversations to help newsrooms onboard themselves onto both of them. I got to hang out with them all, connecting with people I’d spoken with but never interacted with in person. Mastodon has undergone a transformation, has doubled its team, and is working on smoothing out some of its rough edges, while not letting go of its core ethos. It’s also beginning to position itself as a European alternative to American social media platforms, with a community-first values system and new services to directly help organizations join the network.
Bluesky, on the other hand, has done an able job of bringing journalists onto its existing social app, and is now hard at work explaining why its underlying protocol matters. Both want to engage with newsrooms and journalists and do the right thing by them. They each have something different to prove: Mastodon that it can be usable and accessible, and Bluesky that it can provide a return to its investors and truly decentralize while holding onto its values. I’m rooting for both of them.
These platforms’ messages dovetail with my own: news can own the platforms that support them. Lots of people at the Festival were worried about the impact of US big tech on their businesses — particularly in a world where tech moguls seem to be aligning themselves with a Presidential administration that has positioned itself as being adversarial to news, journalists, sources, and, arguably, the truth. The good news is that the technology is out there, the values-aligned technologists are out there, and there’s a strong path forward. The only thing left is to follow it."
#media #Mastodon #BlueSky #Journalism
https://werd.io/2025/notes-from-perugia-journalism-values-and-building-the-web-we