Elon Musk Launches Grokipedia to Compete with Online Encyclopedia Wikipedia 

29 October 2025: The Grokipedia homepage is displayed on a laptop screen. Elon Musk launched Grokipedia to compete with Wikipedia. (dpa)
29 October 2025: The Grokipedia homepage is displayed on a laptop screen. Elon Musk launched Grokipedia to compete with Wikipedia. (dpa)
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Elon Musk Launches Grokipedia to Compete with Online Encyclopedia Wikipedia 

29 October 2025: The Grokipedia homepage is displayed on a laptop screen. Elon Musk launched Grokipedia to compete with Wikipedia. (dpa)
29 October 2025: The Grokipedia homepage is displayed on a laptop screen. Elon Musk launched Grokipedia to compete with Wikipedia. (dpa)

Elon Musk has launched Grokipedia, a crowdsourced online encyclopedia that the billionaire seeks to position as a rival to Wikipedia.

Writing on social media, Musk said that Grokipedia.com is “now live” and its goal is the “truth, the whole truth and nothing but the truth.”

Musk has previously criticized Wikipedia for being filled with “propaganda” and called for people to stop donating to the site, which is run by a nonprofit. In September he announced that his artificial intelligence company xAI was working on Grokipedia.

The Grokipedia site has a minimalist appearance with little beyond a search bar where users can type in queries. It states that it has 885,279 articles. Wikipedia, meanwhile, says it has more than 7 million articles in English.

Like Wikipedia, users can search for articles on various topics such as Taylor Swift, the baseball World Series, or Buckingham Palace.

While Wikipedia is written and edited by volunteers, it's unclear how exactly Grokipedia articles are put together. Reports suggest the site is powered by the same xAI model that underpins Musk's Grok chatbot, but some articles are seemingly adapted from Wikipedia.

The San Francisco-based Wikimedia Foundation said in a statement Tuesday that it is “still in the process of understanding how Grokipedia works.”

As a huge trove of well-constructed sentences with little restriction on how it's used, Wikipedia has been a key source used to train AI chatbots, including Grok's rivals ChatGPT and Google's Gemini.

“This human-created knowledge is what AI companies rely on to generate content; even Grokipedia needs Wikipedia to exist,” said the Wikimedia Foundation.

Wikipedia for months has been a target of the political right. Republican lawmakers in the US Congress launched an investigation in August of alleged “manipulation efforts” in Wikipedia's editing process that they said could inject bias and undermine neutral points of view on its platform and the AI systems that rely on it.

Wikipedia encourages its volunteer editors to cite nearly every sentence or paragraph with a primary source, and sentences not verified can be challenged and removed. Some of Grokipedia's entries are thinly sourced, such as an entry on the Chola Dynasty of southern India that has three linked sources, compared to Wikipedia's that has 113 linked sources plus dozens of referenced books.

Grokipedia's entry on Wikipedia accuses the site of having “systemic ideological biases — particularly a left-leaning slant in coverage of political figures and topics.”

The Wikimedia Foundation said in its statement Tuesday: “Unlike newer projects, Wikipedia’s strengths are clear: it has transparent policies, rigorous volunteer oversight, and a strong culture of continuous improvement. Wikipedia is an encyclopedia, written to inform billions of readers without promoting a particular point of view.”



Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)
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Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)

US tech giant Amazon said it has blocked over 1,800 North Koreans from joining the company, as Pyongyang sends large numbers of IT workers overseas to earn and launder funds.

In a post on LinkedIn, Amazon's Chief Security Officer Stephen Schmidt said last week that North Korean workers had been "attempting to secure remote IT jobs with companies worldwide, particularly in the US".

He said the firm had seen nearly a one-third rise in applications by North Koreans in the past year, reported AFP.

The North Koreans typically use "laptop farms" -- a computer in the United States operated remotely from outside the country, he said.

He warned the problem wasn't specific to Amazon and "is likely happening at scale across the industry".

Tell-tale signs of North Korean workers, Schmidt said, included wrongly formatted phone numbers and dodgy academic credentials.

In July, a woman in Arizona was sentenced to more than eight years in prison for running a laptop farm helping North Korean IT workers secure remote jobs at more than 300 US companies.

The scheme generated more than $17 million in revenue for her and North Korea, officials said.

Last year, Seoul's intelligence agency warned that North Korean operatives had used LinkedIn to pose as recruiters and approach South Koreans working at defense firms to obtain information on their technologies.

"North Korea is actively training cyber personnel and infiltrating key locations worldwide," Hong Min, an analyst at the Korea Institute for National Unification, told AFP.

"Given Amazon's business nature, the motive seems largely economic, with a high likelihood that the operation was planned to steal financial assets," he added.

North Korea's cyber-warfare program dates back to at least the mid-1990s.

It has since grown into a 6,000-strong cyber unit known as Bureau 121, which operates from several countries, according to a 2020 US military report.

In November, Washington announced sanctions on eight individuals accused of being "state-sponsored hackers", whose illicit operations were conducted "to fund the regime's nuclear weapons program" by stealing and laundering money.

The US Department of the Treasury has accused North Korea-affiliated cybercriminals of stealing over $3 billion over the past three years, primarily in cryptocurrency.


KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.