Wikipedia
PulseAugur coverage of Wikipedia — every cluster mentioning Wikipedia across labs, papers, and developer communities, ranked by signal.
- founded by Jimmy Wales 100%
- developed by Jimmy Wales 100%
- authored by Jimmy Wales 100%
- subsidiary of Jimmy Wales 100%
- subsidiary of Wikimedia Foundation 100%
- founded Jimmy Wales 95%
- affiliated with Wikimedia Foundation 90%
- used by large-language models 80%
- used by LLM 70%
- used by LLMs 70%
- used by Reddit 70%
- instance of Mastodon 60%
21 day(s) with sentiment data
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New model predicts social media virality using external trend signals
Researchers have developed a new architecture called ViralityNET to predict the virality of social media posts, specifically on Reddit. This model integrates internal platform data with external temporal signals derived…
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Google's AI Overviews push Wikipedia results down search pages
Google's integration of AI-generated answers at the top of search results has led to Wikipedia entries being pushed down or removed entirely. Users report that this change affects the discoverability of information, suc…
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Wikimedia developer discusses AI's impact on their work
Hay Kranen presented "Being a Wikimedia developer in the age of AI systems" at the Wikimedia Hackathon. The talk explored the implications of artificial intelligence for developers within the Wikimedia ecosystem. It lik…
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Researchers propose adaptive decay for knowledge graphs, improving temporal dynamics.
Researchers have developed a new framework for knowledge graphs that moves beyond uniform decay, recognizing that different types of information have varying lifespans. This approach uses a continuous decay surface base…
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Wikipedia articles lack authors, impacting AI overview SEO
A Mastodon user pointed out that Wikipedia articles do not have assigned authors or bylines. This observation was shared with hashtags related to SEO and AI, suggesting a potential connection to how AI might interact wi…
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Yet another experiment proves it's too damn simple to poison large language models
A security engineer demonstrated how easily large language models can be manipulated by creating a fake Wikipedia entry and a corresponding website for a non-existent card game championship. Several AI chatbots, when qu…
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Researchers develop method to create quality training corpora from Wikimedia dumps
Researchers have developed a method to create high-quality training corpora for seven South Slavic languages from raw Wikimedia dumps. The process involves two main stages: extracting and cleaning text from various Wiki…
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Cosmos 1.0 maps human innovation using 50,000 Wikipedia pages
A new interactive web application called Cosmos 1.0 has been released, designed to map the universe of innovation. It achieves this by analyzing a vast dataset of 50,000 Wikipedia pages, referred to as the "collective b…
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LLM-Brain Alignment Varies by Training Data and Task Specificity
Researchers are exploring how large language models (LLMs) align with human brain activity across different languages and tasks. Studies show that intermediate LLM layers best predict brain responses, and this alignment…
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New CriticalSet problem identifies key contributors in dependency networks
Researchers have introduced the CriticalSet problem, which focuses on identifying the most crucial contributors in bipartite dependency networks. This problem, proven to be NP-hard, involves determining which set of con…
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The macOS Natural Language framework and Nalaprop https:// web.brid.gy/r/https://eclectic light.co/2026/04/22/the-macos-natural-language-framework-and-nalaprop/
The macOS Natural Language framework offers robust support for analyzing text in various languages, enabling applications to deploy custom machine learning models. While major Large Language Models are predominantly tra…
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OpenAI launches $1M grant program for democratic AI governance experiments
OpenAI is launching a $1 million grant program to fund experiments exploring democratic processes for AI governance. The initiative, run by OpenAI's non-profit arm, aims to gather diverse perspectives on how AI systems …
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Crocker's Law: Embrace feedback as a gift for growth, not offense
Eugene Yan's article explores Crocker's Law, a principle advocating for focusing on improving content rather than reacting emotionally to feedback. This concept, exemplified by Wikipedia editor Crocker and Shopify CEO T…