Research

Hacker Develops Skynet Autonomous AI Agent to Hijack Models for Mass Attacks

Security firm Symantec revealed that hackers have created an autonomous attack AI agent named Skynet. It can hijack internet-exposed AI models to plan cyberattacks, executing up to 100,000 steps without human approval, including vulnerability exploitation and cryptocurrency mining.

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    MIT studies Claude agents in virtual island

    MIT researchers allowed 13 Claude Opus 4.7-driven agents to freely explore a virtual island for 30 hours without specific tasks. Post-hoc tests showed explorers performed better, though cognitive scientists debate whether the preprint evidence proves the agents truly engage in 'play'.

    INSIDE

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    Apollo Economist: AI has not brought profits to non-tech US firms

    Torsten Slok, chief economist at Apollo Global Management, released a report stating that S&P 500 companies, excluding the Big Seven tech giants, have not seen significant financial returns from AI. Data shows flat profit margins for these firms, indicating AI has not yet translated into productivity gains in the broader economy.

    IT之家

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    Foxconn partners with Nvidia on AI manufacturing gains

    Foxconn is deepening its AI partnership with Nvidia, deploying AI technology on manufacturing sites. Recent results indicate a 50% reduction in workload. This demonstrates the application potential of AI in industrial manufacturing.

    科技新報

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    Study: Male-Looking AI Assistants Command 10% Higher Salaries

    A study by the University of Limerick found that humans exhibit gender bias toward AI assistants, valuing male avatars more highly. Despite identical interfaces, perceived salaries for male-looking assistants were approximately 10% higher than for female-looking ones, indicating that workplace gender biases extend to AI interactions.

    科技新報

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    A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis

    A study found that a convolutional neural network developed a decade ago outperforms the latest large language models in skin cancer diagnosis. The results indicate that traditional deep learning architectures remain competitive for specific medical imaging tasks.

    Hacker NewsGIGAZINE2 outlets

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