A prominent AI safety researcher's laptop was successfully hacked through a popular AI coding platform, Orchids, exposing a significant cybersecurity vulnerability and raising concerns about the risks of AI's deep access to computers, according to multiple reports from the BBC. The incident, which allowed a researcher to access and modify a BBC reporter's project, highlights the potential dangers of the "vibe-coding" tool, used by a million people, including major companies like Google, Uber, and Amazon.
The Orchids platform, designed for users without coding experience, allows for the creation of apps through an intuitive interface. However, this ease of access has created a significant security flaw. The company behind Orchids has not responded to the BBC's requests for comment regarding the vulnerability. This incident underscores growing concerns about the security implications of AI tools, particularly those that offer deep access to computer systems.
In other technology news, Chinese AI startup MiniMax launched its new M2.5 language model, promising significantly reduced costs for high-end AI. The open-source model, which rivals top-tier competitors in performance, is designed for enterprise tasks and is already being utilized internally by MiniMax for a significant portion of its operations. This signals a shift towards AI as a practical "worker," according to VentureBeat. The model's potential affordability could make it "too cheap to meter," according to the same source.
Meanwhile, in the realm of health and science, a study suggests that moderate caffeine intake might reduce dementia risk. Research published in Nature indicates a link between coffee consumption and slower brain aging in a study of 130,000 people.
In other news, the language learning platform lairner announced its ability to teach over 60 languages in more than 700 combinations. The platform specializes in courses for rare and endangered languages, such as Laz, alongside popular languages like Spanish and German, according to Hacker News.
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