Tech
Wikipedia Thrives in the AI Era, But Researchers Warn of New Challenges from Data Scraping
Wikipedia continues to thrive despite fears that artificial intelligence (AI) would render it obsolete, according to a new study by King’s College London. The research found that the world’s largest online encyclopedia has maintained strong engagement in recent years, even as AI tools like ChatGPT have transformed how people search for and consume information.
Published in the Association for Computing Machinery (ACM) Collective Intelligence journal, the study analyzed data from 12 Wikipedia language editions — six in regions where ChatGPT is available and six where it is not — between January 2021 and January 2024. The findings showed no evidence of declining activity on Wikipedia. In fact, page views and visitor numbers increased across all language editions, although the growth rate was slower in areas where AI chatbots are commonly used.
“We found no signs that ChatGPT reduced the number of Wikipedia editors or edits,” said lead researcher Neal Reeves. However, he noted that some users may have bypassed ChatGPT restrictions using virtual private networks (VPNs), and the study did not account for regional differences in AI adoption.
While the results challenge predictions about the “death of Wikipedia,” the researchers warned that the platform faces serious long-term threats from AI technologies. The report highlights growing issues with “AI scraping” — the large-scale collection of Wikipedia content by AI companies for training their models.
“AI developers are letting their scrapers loose on Wikipedia to train them on high-quality data, pushing traffic to levels where the servers are struggling to keep up,” said Professor Elena Simperl, co-director of the King’s Institute for Artificial Intelligence. She added that AI systems often use Wikipedia content without attribution, diverting web traffic away from the site and undermining its visibility.
Simperl and Reeves urged the creation of a “new social contract” between AI firms and Wikipedia, allowing the encyclopedia to retain control over its data while still supporting responsible AI training.
Coinciding with the study’s release, Wikimedia Deutschland — the German branch of the Wikimedia Foundation — announced the launch of the Wikidata Embedding Project, a new database designed to make Wikipedia content easier and more structured for use in AI systems. The initiative aims to ensure that AI models access verified information curated by Wikipedia editors, rather than relying solely on scraped material.
Researchers say such collaborations could help secure Wikipedia’s relevance in the AI age — balancing open access with the need to protect the integrity and sustainability of one of the internet’s most trusted knowledge sources.
Tech
Robotics Firm Says AI-Powered Humanoid Robots Could Carry Weapons by 2027
A U.S. robotics company developing artificial intelligence-powered humanoid robots says weaponised versions of the technology could begin testing as early as next year, following field trials in Ukraine, raising fresh questions about the future of autonomous systems in modern warfare.
Foundation Future Industries, which builds humanoid robots for commercial and military applications, has already tested its Phantom robots in Ukraine in non-combat roles. Chief Executive Officer Sankaet Pathak said the company expects to explore weaponisation after evaluating the results of those pilot programs.
Pathak said public fears are often shaped by science fiction but argued that humanoid robots would not replace existing weapons such as missiles or drones.
“I think we have this psychological reaction, which is like the Terminator, but the reality is not really like that,” he said.
Instead, he believes humanoid robots could be deployed for highly precise military operations where limiting damage to infrastructure and reducing civilian casualties are priorities.
According to Pathak, drones and conventional weapons remain more effective for large-scale attacks, while humanoid robots would be better suited to complex ground missions requiring careful movement through buildings and urban environments.
He added that robots are unlikely to replace drones on the battlefield but could help reduce risks faced by soldiers in increasingly dangerous combat zones.
Currently, there is no international treaty specifically regulating humanoid or autonomous combat robots. Their use falls under existing international humanitarian law, which requires distinction between military targets and civilians during armed conflict.
The issue has drawn increasing attention from the United Nations. Last week, UN Secretary-General António Guterres renewed calls for restrictions on lethal autonomous weapons systems, describing them as “killer robots” capable of selecting and attacking targets without human judgment. The UN has been negotiating a treaty on lethal autonomous weapons since 2023, with proposals calling for a legally binding agreement by 2026.
Pathak argued that humanoid robots should be treated similarly to other precision-guided military systems already in service, including armed drones and unmanned ground vehicles.
Foundation’s robots rely on artificial intelligence built around so-called world models. Unlike large language models that predict text, these systems learn from video, simulations and spatial information to understand physical environments and predict how objects and people move over time.
The company believes these models are essential for creating robots capable of safely navigating complex surroundings.
While concerns persist about advanced AI becoming uncontrollable, Pathak said the greater short-term threat comes from criminals or extremist groups misusing publicly available AI tools for cyberattacks, disinformation campaigns or modifying commercial drones for attacks.
He believes scenarios involving AI independently rewriting its own objectives and improving itself remain several major technological breakthroughs away.
Beyond combat, Foundation sees immediate military uses for its humanoid robots in logistics, reconnaissance and building inspections. Those capabilities have already been evaluated in Ukraine, helping shape the development of the company’s next-generation Phantom 2 robot.
The upgraded model is designed for harsh outdoor conditions, offering waterproof and dustproof protection, an increased payload capacity of around 80 kilograms and greater resistance to impacts.
Foundation currently leases Phantom robots to commercial customers for about $100,000 annually per unit, while military buyers purchase the machines at similar prices. Its investors include Eric Trump, payment company Stripe and venture capital firm Define.
Tech
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Tech
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