Tootfinder

Social Media Clones: Exploring the Impact of Social Delegation with AI Clones through a Design Workbook Study
Jackie Liu, Mehrnoosh Sadat Shirvani, Hwajung Hong, Ig-Jae Kim, Dongwook Yoon
https://arxiv.org/abs/2509.07502

Social Media Clones: Exploring the Impact of Social Delegation with AI Clones through a Design Workbook Study
Social media clones are AI-powered social delegates of ourselves created using our personal data. As our identities and online personas intertwine, these technologies have the potential to greatly enhance our social media experience. If mismanaged, however, these clones may also pose new risks to our social reputation and online relationships. To set the foundation for a productive and responsible integration, we set out to understand how social media clones will impact our online behavior and …

Identifying Imperfect Clones in Elections
Piotr Faliszewski, Lukasz Janeczko, Grzegorz Lisowski, Kristyna Pekarkova, Ildiko Schlotter
https://arxiv.org/abs/2509.11261 https://…

Identifying Imperfect Clones in Elections
A perfect clone in an ordinal election (i.e., an election where the voters rank the candidates in a strict linear order) is a set of candidates that each voter ranks consecutively. We consider different relaxations of this notion: independent or subelection clones are sets of candidates that only some of the voters recognize as a perfect clone, whereas approximate clones are sets of candidates such that every voter ranks their members close to each other, but not necessarily consecutively. We e…

How Synthesia is combining multiple AI voice and video models to improve avatar realism with natural gestures and accent preservation (Rhiannon Williams/MIT Technology Review)
https://www.technologyreview.com/2025/09/0

Synthesia’s AI clones are more expressive than ever. Soon they’ll be able to talk back.
The uncanny valley is narrowing. Are we ready for what comes next?

Sir Lucian Grainge Just Drew the Brightest Line Yet on AI http://musictechpolicy.com/2025/10/14/sir-lucian-grainge-just-drew-the-brightest-line-yet-on-ai/

Sir Lucian Grainge Just Drew the Brightest Line Yet on AI
Sir Lucian Grainge just set the norm: no consent, no license. UMG won’t greenlight AI that clones voices or rebuilds songs without permission. That stance rejects “opt-out” loopholes, aligns with g…

Anyone else getting these ridiculous repo scraping spikes? A clean checkout of the https://thi.ng/umbrella monorepo is ~370MB. Over the past 14 days there were 222k clones (only 117 unique) of this repo which have caused downloads of a whopping ~78TB. WTF! 🤯

thi.ng/umbrella

I Know Who Clones Your Code: Interpretable Smart Contract Similarity Detection
Zhenguang Liu, Lixun Ma, Zhongzheng Mu, Chengkun Wei, Xiaojun Xu, Yingying Jiao, Kui Ren
https://arxiv.org/abs/2509.09630 …

I Know Who Clones Your Code: Interpretable Smart Contract Similarity Detection
Widespread reuse of open-source code in smart contract development boosts programming efficiency but significantly amplifies bug propagation across contracts, while dedicated methods for detecting similar smart contract functions remain very limited. Conventional abstract-syntax-tree (AST) based methods for smart contract similarity detection face challenges in handling intricate tree structures, which impedes detailed semantic comparison of code. Recent deep-learning based approaches tend to o…

Google launches its asynchronous coding agent Jules out of beta, with a free plan capped at 15 daily tasks and higher limits for Google AI Pro and Ultra users (Jagmeet Singh/TechCrunch)
https://techcrunch.com/2025/08/06/googles-ai-coding-agent-jules-is-now…

Google's AI coding agent Jules is now out of beta | TechCrunch
Powered by Gemini 2.5 Pro, Jules is an asynchronous, agent-based coding tool that integrates with GitHub, clones codebases into Google Cloud virtual machines, and uses AI to fix or update code while developers focus on other tasks.

When you have so many watches and straps, it does get hard to pick a combination! 🤔
#WristCheck

Happy Birthday, Linux!
🎁🎂🎈 🥳
I first installed Linux on my computer many months after that announcement, in December 1992. I have memories of swapping an almost endless pack of floppy disks during the lengthy install at a Chaos Communication Congress in Hamburg, Germany. The album “Connected” by Stereo MC's was playing several times until I was finally greeted with a shell prompt.

StoneDetector: Conventional and versatile code clone detection for Java
Thomas S. Heinze, Andr\'e Sch\"afer, Wolfram Amme
https://arxiv.org/abs/2508.03435 https://

StoneDetector: Conventional and versatile code clone detection for Java
Copy & paste is a widespread practice when developing software and, thus, duplicated and subsequently modified code occurs frequently in software projects. Since such code clones, i.e., identical or similar fragments of code, can bloat software projects and cause issues like bug or vulnerability propagation, their identification is of importance. In this paper, we present the StoneDetector platform and its underlying method for finding code clones in Java source and Bytecode. StoneDetector impl…

Spotify updates its AI policy, including adopting the upcoming DDEX standard to label and identify AI music and rolling out a new music spam filter (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/09/25/spotify-updates-ai-policy-to-label-trac…

Spotify to label AI music, filter spam and more in AI policy change | TechCrunch
Spotify is launching a music spam filter, labeling AI tracks, and clarifying its rules around AI voice clones.

Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation
Hayat Ullah, Syed Muhammad Talha Zaidi, Arslan Munir
https://arxiv.org/abs/2507.20996

Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation
Convolutional neural networks (CNNs) excel in computer vision but are susceptible to adversarial attacks, crafted perturbations designed to mislead predictions. Despite advances in adversarial training, a gap persists between model accuracy and robustness. To mitigate this issue, in this paper, we present a multi-teacher adversarial robustness distillation using an adaptive learning strategy. Specifically, our proposed method first trained multiple clones of a baseline CNN model using an advers…

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones
Tan Bui, Yan Naing Tun, Thanh Phuc Nguyen, Yindu Su, Ferdian Thung, Yikun Li, Han Wei Ang, Yide Yin, Frank Liauw, Lwin Khin Shar, Eng Lieh Ouh, Ting Zhang, David Lo
https://arxiv.org/abs/2507.16661

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones
Code reuse is common in modern software development, but it can also spread vulnerabilities when developers unknowingly copy risky code. The code fragments that preserve the logic of known vulnerabilities are known as vulnerable code clones (VCCs). Detecting those VCCs is a critical but challenging task. Existing VCC detection tools often rely on syntactic similarity or produce coarse vulnerability predictions without clear explanations, limiting their practical utility. In this paper, we propo…

Spotify updates its AI policy, including adopting the upcoming DDEX standard to label and identify AI music and rolling out a new music spam filter (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/09/25/spotify-updates-ai-policy-to-label-trac…

Spotify to label AI music, filter spam and more in AI policy change | TechCrunch
Spotify is launching a music spam filter, labeling AI tracks, and clarifying its rules around AI voice clones.

Are Classical Clone Detectors Good Enough For the AI Era?
Ajmain Inqiad Alam, Palash Roy, Farouq Al-omari, Chanchal Roy, Banani Roy, Kevin Schneider
https://arxiv.org/abs/2509.25754

Are Classical Clone Detectors Good Enough For the AI Era?
The increasing adoption of AI-generated code has reshaped modern software development, introducing syntactic and semantic variations in cloned code. Unlike traditional human-written clones, AI-generated clones exhibit systematic syntactic patterns and semantic differences learned from large-scale training data. This shift presents new challenges for classical code clone detection (CCD) tools, which have historically been validated primarily on human-authored codebases and optimized to detect sy…

Dynamics of memory B cells and plasmablasts in healthy individuals
Andrea Mazzolini, Aleksandra M. Walczak, Thierry Mora
https://arxiv.org/abs/2510.02812 https://

Dynamics of memory B cells and plasmablasts in healthy individuals
Our adaptive immune system relies on the persistence over long times of a diverse set of antigen-experienced B cells to encode our memories of past infections and to protect us against future ones. While longitudinal repertoire sequencing promises to track the long-term dynamics of many B cell clones simultaneously, sampling and experimental noise make it hard to draw reliable quantitative conclusions. Leveraging statistical inference, we infer the dynamics of memory B cell clonal dynamics and …

🇺🇦 #NowPlaying on BBCRadio3's #Radio3sPromsMarathonMonday
John Williams, National Youth Orchestra & Dalia Stasevska:
🎵 Across the Stars (Episode II: Attack of the Clones)
#JohnWilliams #NationalYouthOrchestra #DaliaStasevska
#Spotify

Code Clone Detection via an AlphaFold-Inspired Framework
Changguo Jia, Yi Zhan, Tianqi Zhao, Hengzhi Ye, Minghui Zhou
https://arxiv.org/abs/2507.15226 http…

Code Clone Detection via an AlphaFold-Inspired Framework
Code clone detection, which aims to identify functionally equivalent code fragments, plays a critical role in software maintenance and vulnerability analysis. Substantial methods have been proposed to detect code clones, but they fall short in capturing code semantics or relying on language-specific analyzers. Inspired by the remarkable success of AlphaFold in predicting three-dimensional protein structures from protein sequences, in this paper, we leverage AlphaFold for code clone detection ba…