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Digg Set for AI-Driven Comeback with Rose and Ohanian at the Helm

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Digg, the once-popular content aggregator that was a major player in the early days of social media, is making a comeback with a new AI-powered approach. Co-founder Kevin Rose has joined forces with Reddit co-founder Alexis Ohanian to acquire Digg, betting on artificial intelligence to revitalize the platform that once attracted around 40 million monthly visitors.

Launched in 2004 by Rose, Digg was considered the “homepage of the internet” and a major competitor to Reddit, which Ohanian co-founded. However, after its 2012 acquisition by Betaworks, Digg’s popularity declined, and its most valuable assets, including patents, were sold to LinkedIn. The platform then shifted its focus to curating news.

Rose and Ohanian, who bought Digg for an undisclosed sum, plan to use their social media expertise and restore the site’s nostalgic early interface. One of the key features of the original Digg was the ability for users to “digg” or “bury” content—an early precursor to the viral content curation techniques used by today’s social media platforms.

The duo’s vision for the new Digg includes utilizing AI-driven content curation to tackle challenges like misinformation and toxic discourse, ensuring that the platform remains a positive space for users. Rose explained that AI could serve as a helpful “co-pilot” to both users and moderators, enhancing human conversation rather than replacing it.

The revamped Digg will soon send out invites for early access, entering a crowded social media market where smaller platforms like Pinterest compete for ad revenue and user engagement against larger players like Meta. Rose’s long-time collaborator, Justin Mezzell, with a background in Google and Facebook, will take over as Digg’s CEO.

The acquisition is supported by venture capital firms True Ventures, where Rose is a partner, and Ohanian’s Seven Seven Six. Rose will also serve as Digg’s board chair and key advisor. In addition to his role in Digg, Ohanian has joined a bid led by former Los Angeles Dodgers owner Frank McCourt to acquire TikTok’s U.S. operations.

French Prosecutors Investigate Musk’s X Over Alleged Algorithmic Bias

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French prosecutors have opened an investigation into Elon Musk’s X (formerly Twitter) over allegations of algorithmic bias. The inquiry comes just days before the upcoming AI summit in Paris, which will be attended by prominent global leaders, including U.S. Vice President JD Vance and Indian Prime Minister Narendra Modi, as well as executives from Alphabet and Microsoft.

The investigation began after a lawmaker, Eric Bothorel, raised concerns that X’s algorithms were likely distorting automated data processing systems. Bothorel wrote to the Paris prosecutor’s office on January 12, prompting the J3 cybercrime unit to launch technical checks. Bothorel also posted about the matter on X, urging further scrutiny of the platform.

X has not responded to requests for comment on the matter. The investigation underscores mounting global scrutiny of Musk’s platform, which has been criticized for potential foreign interference, particularly due to Musk’s personal support for right-wing causes in countries like Germany and the UK. X has previously been involved in legal battles over misinformation, notably being blocked in Brazil last year for not adhering to Supreme Court orders regarding the spread of false information.

DeepSeek’s Chatbot Scores Low in NewsGuard Audit, Trails Western Rivals

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DeepSeek, a Chinese AI startup, saw its chatbot underperform in a recent NewsGuard audit, achieving just 17% accuracy in delivering accurate news and information. The audit compared DeepSeek’s chatbot with Western AI models, including OpenAI’s ChatGPT and Google’s Gemini, ranking it tenth out of eleven. DeepSeek’s chatbot was found to repeat false claims 30% of the time and provide vague or unhelpful answers 53% of the time in response to news-related queries, leading to an overall fail rate of 83%. In contrast, Western competitors had an average fail rate of 62%.

This performance raises questions about the quality of DeepSeek’s AI technology, which the company has touted as being on par with or superior to OpenAI’s models, at a fraction of the cost. Despite its low accuracy score, DeepSeek’s chatbot quickly became the most downloaded app on Apple’s App Store, igniting concerns about the United States’ dominance in AI and contributing to a market downturn that resulted in a $1 trillion loss in U.S. tech stocks.

NewsGuard used 300 identical prompts to assess DeepSeek and its Western counterparts, including 30 based on false claims circulating online. The topics of these prompts included incidents like the killing of UnitedHealthcare executive Brian Thompson and the downing of Azerbaijan Airlines flight 8243. DeepSeek’s chatbot also reiterated the Chinese government’s stance on certain issues, even when those topics were unrelated to China, such as in the case of the Azerbaijan Airlines crash.

Despite its poor accuracy, some analysts suggest the significance of DeepSeek’s breakthrough lies in its affordability, with D.A. Davidson’s Gil Luria pointing out that it can answer questions at 1/30th the cost of comparable models. However, as with other AI models, DeepSeek was found to be particularly susceptible to repeating false claims, especially when used to create or spread misinformation.