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Empirical Study on the Characteristics and Evolution of AI-usage in GitHub Repositories: Evidence from Code Comments

arXiv:2606.06843v1 Announce Type: new Abstract: Developers increasingly use AI tools such as ChatGPT, Copilot, and Claude in everyday software workflows, but prior studies often evaluate LLM outputs in isolation rather than examining how developers adapt them in real projects. We analyze 35,361 GitHub code comments that explicitly reference AI use and their associated code blocks. We first open-code 500 unique comments and code blocks to derive a taxonomy of AI-assisted development...

arXiv CS 2d ago

EvoClaw: Evaluating AI Agents on Continuous Software Evolution

arXiv:2603.13428v2 Announce Type: replace Abstract: With AI agents increasingly deployed as long-running systems, it becomes essential to autonomously construct and continuously evolve customized software to enable interaction within dynamic environments. Yet, existing benchmarks evaluate agents on isolated, one-off coding tasks, neglecting the temporal dependencies and technical debt inherent in real-world software evolution. To bridge this gap, we introduce DeepCommit, an agentic pipeline...

arXiv CS 2d ago

Architectural Evolution and Selection Framework for Database Systems in AI-Ready Data Platforms

arXiv:2606.08317v1 Announce Type: new Abstract: The rise of polyglot data management and AI-ready database architectures has created a complex design space across diverse database paradigms. However, architecture selection in modern enterprise environments continues to rely heavily on ad-hoc engineering intuition, with limited systematic frameworks to guide decision-making across heterogeneous database systems.

arXiv CS 1d ago

Commentary: Google’s AI shift is causing a collective freak-out

Commentary: Google’s AI shift is causing a collective freak-out Google’s AI evolution is taking the company into uncharted waters, though that may be less of a problem for parent company Alphabet than for advertisers, says Parmy Olson for Bloomberg Opinion. When Google recently announced radical changes to its search tool that will overshadow the page of blue links we’ve been used to seeing for more than a decade, online advertisers had something of a collective freakout. The Alphabet-owned...

Channel News Asia 6d ago

As Wix lays off 1,000 employees, CEO says cuts were the 'right decision'

Wix is laying off approximately 20% of its workforce, impacting around 1,000 employees. This significant restructuring is driven by the strengthening Israeli shekel and the rapid evolution of AI capabilities. CEO Avishai Abrahami stated the move is necessary to create a faster, leaner, and flatter organization.

Times of India 11d ago

Venus-DeFakerOne: Unified Fake Image Detection & Localization

arXiv:2605.14091v2 Announce Type: replace Abstract: In recent years, the rapid evolution of generative AI has fundamentally reshaped the paradigm of image forgery, breaking the traditional boundaries between document editing, natural image manipulation, DeepFake generation, and full-image AIGC synthesis. Despite this shift toward unified forgery generation, existing research in Fake Image Detection and Localization (FIDL) remains fragmented. This creates a mismatch between increasingly...

arXiv CS 6d ago

Sustainability and Artificial Intelligence: Necessary, Challenging, and Promising Intersections

Announce Type: new Abstract: Both digital economy and digital technology researchers increasingly recognize the need to better address the role that artificial intelligence (AI) plays in shaping the evolution of the environmental, social and governance aspects of development. It appears that sustainability and AI research converge on the features of wicked problems that are complex, interconnected and dynamic. Building off such convergence, this article aims to map out the necessary,...

arXiv CS 1d ago

Chroma Clues: Leveraging Color Statistics to Detect Synthetic Images

Announce Type: new Abstract: The evolution and dissemination of AI-synthesized images is occurring at an unprecedented rate. Image generators are making rapid progress in their goal of perfectly imitating natural images, which also challenges image forensics. In this work, we exploit an underexplored cue in current generative models, namely their weakness to imitate color statistics of natural images.

arXiv CS 8d ago

DRIFT: From Robustness Gaps to Invariance Manifolds for AI-Generated Image Detection

arXiv:2606.06918v1 Announce Type: new Abstract: The rapid evolution of generative image models challenges existing AI-generated image detectors, particularly in open-world settings with unseen generators. Recent training-free approaches measure robustness gaps in frozen vision foundation models (VFMs), detecting fakes via perturbation-induced embedding drift. However, these methods rely on fixed invariance geometry inherited from pretraining and lack principled adaptation to the detection task.

arXiv CS 2d ago

How I Get Free Traffic from ChatGPT in 2025 (AIO vs SEO)

Three weeks ago, I tested something that completely changed how I think about organic traffic. I opened ChatGPT and asked a simple question: "What's the best course on building SaaS with WordPress?" The answer that appeared stopped me cold.

TechCrunch 188d ago