AI companies are facing a shortage of cheap, permissionless text as AI-generated content pollutes training data, prompting firms to buy old books and develop synthetic training methods. Nvidia release…
AI companies are digitizing rare books to train large language models, but the aggressive scanning process is damaging the original physical artifacts, according to a report. The shift toward 'dark da…
A new open-source guide catalogues visual tells of AI-generated design across websites, images, video, logos, and print, modeled on Wikipedia's Signs of AI writing. The project, hosted on GitHub under…
An engineer details how to embed JPG snapshots into a production PDF pipeline without breaking accessibility or print layout, covering three common scenarios: live rendering with Headless Chrome or La…
Wiki Workers United's U.S. branch asked the Wikimedia Foundation for voluntary union recognition on July 20, saying a supermajority of eligible U.S. employees signed union cards and setting a July 24 …
Workers at the Wikimedia Foundation, the San Francisco-based nonprofit that hosts Wikipedia, demanded voluntary recognition of their union, Wiki Workers United U.S., on Monday, citing concerns over jo…
Neo4j says graph technology can reduce AI hallucinations, citing a June arXiv paper showing that vector+graph RAG achieved 80% higher fine-grained truthfulness and more than double the precision and r…
A developer built WeekendMax, a statically served site that shows every destination within reach of a user's city for each US long weekend, including weather, crowd levels, and cost estimates. The sit…
Google's integration of generative AI into search, particularly AI Mode, is keeping users inside its ecosystem and starving external websites of traffic, with studies showing users never leave AI Mode…
PHP 8.x with JIT compilation delivers competitive performance against Node.js in web workloads, while frameworks like Laravel and Symfony reduce development time by providing production-tested solutio…
Algorithm aversion is defined as a biased assessment of an algorithm that manifests in negative behaviors and attitudes compared to a human agent, according to Wikipedia. The phenomenon leads people t…
A new pipeline called ARGUS aims to fix blind spots in AI retrieval systems by preemptively addressing weak spots in data retrieval. Developed using a large-scale dataset from Wikidata and Wikipedia, …
Researchers present OriginBlame (ob), a record- and token-level data provenance system that enables precise identification of training records belonging to a specific author, addressing the gap betwee…
AI answer engines sent about 1.13 billion referral visits to the top 1,000 websites in June 2025, up 357% year-over-year, but that is still roughly one part in 170 of Google's 191 billion visits. Semr…
Researchers have developed WikiSTAR (Scientific Tracking of Article Revisions), an AI tool that uses an LLM classifier to analyze how scientific articles evolve on Wikipedia by tagging changes such as…
A developer at Kre8on ran 500 brand queries across ChatGPT, Claude, Gemini, and Perplexity, finding that new brands are cited 0% of the time. The data shows a strong correlation between Wikipedia pres…
A potential Wikipedia outage could create knowledge gaps in AI models like ChatGPT on cryptocurrency topics, as the platform's structured data is a key training source for large language models. The W…
Theia, a new Chrome extension, fact-checks ChatGPT, Claude, and Gemini in real time, flagging hallucinations and sycophancy by scoring replies against primary sources and running an on-device sycophan…
Founders must now optimize for AI chatbots like ChatGPT rather than traditional search engines, as Gartner predicts a 25% drop in search volume by 2026 and Google's AI Overviews produce zero-click res…
A new AI model called continuous-query limited memory language model (CO-LMLM) combines minimal cost with high factual precision by storing knowledge in an external knowledge base and fetching it as n…