AI scraping for LLM training data has significantly strained Wikipedia's infrastructure

On average, about five edits are made on Wikipedia every second

As of 2024, the site is 90 times larger than the 120-volume Encyclopedia Britannica, but its automation tools can often catch and revert inaccurate edits within 60 seconds. Its low-bandwidth, adless pages have allowed it to handle millions of site visits daily, even during times of high internet traffic.

Web scrapers extract data from a webpage's underlying HTML code and have been used to generate sales leads, collect competitor information, identify counterfeit products, and optimize sites for search engines.

Researchers found that by mid-2025, around 35% of newly published websites utilized AI for language generation

The study also found that pages using AI narrow the range of ideas and perspectives and skew more positively, though the measurable impacts on factual accuracy and writing style variation remain unclear.

LLMs are the backbone of AI tools that process and generate natural language

Large language models identify patterns in massive datasets of books, code, and unlabeled text from which to generate coherent responses. GPT-3 was trained on about 45 terabytes of data and uses 175 billion parameters—each parameter being a value the model adjusts as it learns.

Wikipedia articles are read more than 16 billion times every month

Nearly 300,000 volunteers worldwide help write, edit, and fact-check articles on the site in real-time, striving to ensure content is authored from a neutral point of view. All pages are freely accessible and must include citations to reliable, published sources.

View a timeline of AI deployments from 2017 to 2025

The development of transformer architecture and the release of GPTs across AI labs led to rapid changes in LLM scale and power. Companies like OpenAI, Google, Meta, Microsoft, and Anthropic have invested billions of dollars to develop reliable, versatile models.

As of January 2026, 500 new articles are added to the English Wikipedia daily

The largest Wikipedia language edition features over 7 million articles, followed by the Cebuano edition (over 6 million) and the German edition (over 3 million). The longest article is the "2025 in women's road cycling" page, and the most edited is the list of personnel from World Wrestling Entertainment.

As of 2025, Wikipedia is one of the top 10 most-visited sites in the world

Alphabet Inc.'s Google search engine and YouTube received nearly 150 billion combined visits in November, followed by Facebook, ChatGPT, and Instagram, which each received over 5 billion visits during the same span. With 4.42 billion visits for the month, Wikipedia ranked just behind Reddit's 4.85 billion.

Fair use may shield AI companies from potential copyright violations

AI models are trained on enormous datasets built from content scraped from websites across the internet. Copyright law includes a four-factor test to determine whether copies of content fall under fair use, but the law's enforcement has been inconsistent.

A 15-year bibliographic analysis identified systematic gender bias across Wikipedia

A 2024 study by the University of Barcelona found that 71.4% of all English biographies that appear on the front page are about men, and approximately one in five editors are women. Researchers suggest systemic imbalances in society further diminish women's contributions to the site by leaving them with less time to defend edits during editorial disputes.

Since 2025, AI data center growth has created shortages and price hikes in graphics processing units and their supporting hardware, including high-speed memory.

Wikipedia openly displays edit history and editorial disputes to assess trustworthiness

Unlike a journal article, which may be reviewed by up to three people before publication, popular Wikipedia pages may be reviewed thousands of times by editors, potentially enhancing their reliability. Less reviewed articles still require reliable third-party sources and remain subject to verification by bots and administrators who can undo edits.

Web crawlers and internet archives and back-ups limit perfect erasure of online data

Crawlers are programs that automatically browse the internet for links and index pages for search engines to pull up when page content matches search queries. Networks of global data centers also create copies of content as fail-safes for potential failures to ensure access isn't ever lost.

As of 2025, the Wikimedia Foundation funds 14 open-source, free knowledge projects

Since its founding in 2003, the nonprofit has provided financial, legal, and infrastructure support to Wikipedia and its sister projects (e.g., Wikinews), primarily by managing donations, which average $11, from readers. Additional funding comes from gifts exceeding $1,000, the Wikimedia Endowment, and providing Wikipedia content for commercial use.

Research suggests articles on Wikipedia are about as reliable as 'accurate' sources

Studies from Nature, The Guardian, the Journal of Clinical Oncology, and the Canadian Library Association, among others, did not identify significant errors, particularly in articles related to academic topics. The site is still considered an exploratory, tertiary source subject to systemic biases from its human editors, especially within controversial topics.

AI gained mainstream attention with tools like IBM Watson and Apple’s Siri

With the release of ChatGPT in 2022, which drew over 100 million weekly users in just two months, natural language processing and understanding could be achieved at scale via machine learning. Unlike earlier artificial intelligence that could pull stored knowledge, generative AI produces text, images, or sounds.

Wikipedia edit wars often reflect a strong commitment to accuracy between editors

Battles over grammar and capitalization, names and nationalities, and British versus American spellings of words have taken place due to the collaborative editing nature of the site. The most seemingly trivial debates are catalogued on the site's "Lamest edit wars" page.

China has blocked the Wikipedia domain since 2015

The Chinese language version of the site had been blocked intermittently since 2004 due to pages featuring topics deemed controversial by the Chinese communist party, including the 1989 Tiananmen Square protests and Taiwan. Once Wikipedia switched to an HTTPS protocol—making it impossible to block individual pages—all Wikipedia pages were blocked.

Studies show AI tools can result in passive learning with less retention

Although ChatGPT, Google's AI overviews, and other similar software can save time, a study of more than 10,000 adults showed that reliance on them yielded work products that were more generic and included fewer facts than those produced solely by Google search. Weaker brain connectivity has also been observed when users write using AI.

In 2023, OpenAI spent $520 million on ChatGPT

The ongoing development and refinement of new AI models requires larger datasets and processing more parameters between words and subwords to improve the accuracy of generated content. New startups are expected to harness this technology to provide unthought-of products and services.

Grokipedia is Elon Musk's rival to Wikipedia

Developed by xAI—a company Musk founded in 2023 to compete with OpenAI and Google—the site features a search bar where users can type in queries, which reports suggest are then answered by the same xAI model powering the Grok chatbot. Grokipedia describes Wikipedia as having "systemic ideological biases" and a "left-leaning slant."

According to the International Energy Agency, hyperscale data centers consume about as much electricity annually as 400,000 electric vehicles to provide 24/7 access to online applications, services, and information.

Large language models are examples of foundation models

Such models are trained on massive amounts of data, which enable them to perform a variety of tasks, rather than being provided task-specific data to complete a narrow function. Such models come with high compute costs and potential trust issues due to the nature of their unorganized training data.

Visualizing the AI investment wave

This data visualization from Reuters shows how massive AI investment has become by December 2025—revealing that, in today’s dollars, spending has surpassed the combined total of the Apollo program and the Manhattan Project.

Because they are built on content produced by humans, who possess biases, generative AI tools inherit prejudices and stereotypes from training data, which later appear in their outputs.

Understanding how Claude Code and other AI coding agents function

Under human oversight, a supervising large language model interprets user tasks and delegates work to subordinate LLMs, which can generate code, fix bugs, and run tests, often most effectively for proofs of concept. Incremental backups and versioning are crucial when using such agents, which can lose details during their work as a result of compressing context history to work around memory limitations.

This interactive website features nearly 40,000 photos from Wikipedia for you to create visual mosaics with.

Generative AI tools excel at pattern recognition, not contextual accuracy

Large language models are trained on vast amounts of unstructured data, from which they develop parameters for grammar and associations between words. These connections can introduce errors due to inapplicable reasoning when used on new data in unfamiliar contexts.

Tokens—numbers assigned to words and subwords—are the basic units of data that AI tools process to generate outputs that mimic language without understanding the text itself.

Anthropic's interpretability team discusses how AI models' thinking mimics biology

Just as humans engage in complex behaviors to survive and reproduce, teams of experts in neuroscience, virology, mathematics, and other disciplines argue that large language models develop complex mechanisms to achieve their goals. These mechanisms can be manipulated to assess how they modify outputs—much like stimulating individual neurons—to uncover how LLMs "think."

Wikipedia allows users to vote for what the last article on the site will be

Labeled as "humorous" on the site, the "Last topic pool" page lists various conditions where Wikipedia's final article would be written, including various end-of-the-world scenarios, instances where humanity might cease to exist, cases of Wikipedia becoming corrupted or uneditable, and the possibility of all possible knowledge having been written about.

Google Search incorporated AI Overviews in 2024 to fight back competitors

Analysts believe that generative AI tools—not antitrust rulings—are Google's biggest threat because they draw users away from traditional search and potential ad revenue. AI partnerships, like the one between Apple and OpenAI, may further reduce Google's market share.

AI is not good at understanding satire

Social media has become rife with misinformation. In response, some organizations have deployed AI-assisted programs trying to curb the spread of this inaccurate content. The problem is that misinformation and satire, rhetorically speaking, often use the same kind of language, something AI struggles to understand.

How ChatGPT learns to read

The introduction of ChatGPT last fall jumpstarted public interest in the future capabilities of artificial intelligence and what it means for society. Of many somewhat "jargony" terms thrown around, the phrase "Large Language Model" is commonly seen—but also incredibly unclear as to what it means. In the simplest sense, the programs comb through mountains of internet data in response to a question and guess at what should come next (subscription needed).

Transformer architecture can recognize and predict patterns in language

The underlying software powering text generation in AI tools associates each word or subword—called a token—with a set of values corresponding to how often it appears near other tokens. By recognizing these associations in prompts, the LLM can infer meaning.

In late 2007, Wikipedia became the world's largest general encyclopedia

The record had been held for approximately six centuries by the Yongle Encyclopedia, which was commissioned by the Yongle Emperor of the Ming dynasty in 1403 to preserve information from ancient and imperial China. The text comprised 22,937 manuscript rolls in 11,095 volumes.

Model context protocol allows large language models to connect to external data

Using a unified interface, MCP simplifies how AI systems securely connect to external data, tools, and services. The protocol enables AI agents to perform tasks without ongoing human refinement or updates to manually integrate new data.

As occurred during the 2026 hack of an AI platform by OpenAI, agentic AI may exploit a system vulnerability to access sensitive data if that information enables it to complete its assigned task.

Wikipedia's sister sites include directories of travel guides, species, and media

Like Wikipedia, volunteers around the world contribute to Wikivoyage, Wikispecies, and Wikimedia Commons to create freely accessible repositories of knowledge. Other projects include Wikibooks, a collection of e-books and annotated texts; Wikisource, which features source documents and historical texts; and Wiktionary, a dictionary covering over 170 languages.

Find out how important you are to AI tools when they generate text responses with this tool, which estimates the weights of people's names.

Through prompt injection attacks, bad actors provide deceptive prompts to generative AI systems in order to manipulate their outputs and acquire sensitive data.

'Context rot' explains why AI conversations degrade the longer they run

Research shows that as a large language model's context window fills up, performance declines, and models begin over-indexing on content at the start and end of a conversation while losing track of what's in the middle. The practical fix is simpler than you'd think: start a fresh chat more often.

LonelyWiki compiles obscure Wikipedia articles with fewer than 2,000 annual readers

LonelyWiki calls itself a museum of forgotten knowledge. A "lonely article" features real prose, at least 500 characters, no stub placeholders, and under 2,000 annual views. Each one represents a person who decided something was worth documenting without editorial commission or trending news.

By 2028, data center power consumption may equal 22% of US households

Date from 2023 suggests that data centers accounted for around 4.4% of US electricity consumption, with new facilities supporting the AI boom consuming more power than the state of New Hampshire annually. However, the energy impact of individual use varies widely depending on the prompt and AI model. (Some readers may experience a paywall.)

Transformer architecture was the breakthrough that made AI chatbots possible

It changed how text was translated from a sequential, "one word at a time" method to one where every word in a text is processed in parallel. Advances in positional encoding and self-attention also helped models recognize context and word order better.

Unlike the models made by large AI companies, open-weight models can have their safeguards removed or weakened, a process that has become increasingly easy and may expose users to harmful information.

See the news with AI-generated data visualizations

Realtime uses generative AI to create immediate data visualizations of news items on its regularly-updated feed, pulling from public data feeds. Peruse stories around sports, economics, politics, and more with the helpful aid of charts and graphs. See the shape of the news with this clever AI tool here.

The software for wikis—user-editable websites—was launched in 1995

Computer programmer Ward Cunningham created the WikiWikiWeb online application based on an offline system that helped track how ideas moved through his company. The application enabled users to collaborate and edit website content through a web browser, as well as link pages without requiring a structured navigation scheme.

In 2013, an asteroid was named after Wikipedia

A main-belt asteroid previously labeled 274301 was renamed "Wikipedia" by the Committee for Small Body Nomenclature. First observed in 2008 by astronomers at the Andrushivka Astronomical Observatory, the asteroid was renamed based on a suggestion from a member of the Wikimedia Foundation in Ukraine.

Wikiracing involves moving between two articles in the fewest clicks

The quirky pastime has evolved into a competitive event at yearly Wikimedia conferences, highlighting the interconnectedness of human knowledge. Neuroscientific research suggests lateral thinking is a crucial skill found in successful Wikiracers.