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OpenAI Warns Future AI Models Pose ‘High’ Cybersecurity Risks OpenAI has issued a stark warning that its upcoming frontier AI models could present ‘High’ level cybersecurity risks. The company stated that these advanced models might be capable of automating the discovery and exploitation of significant cyber vulnerabilities, including the development of functional zero-day exploits. To mitigate these potential threats, OpenAI is implementing a ‘defense-in-depth’ strategy. This includes training its models to refuse harmful requests while remaining useful for defensive and educational purposes. The company is also establishing a Frontier Risk Council, an advisory board of cybersecurity experts, to help manage these advanced AI risks. Furthermore, OpenAI is developing a trusted access program to provide enhanced AI capabilities to qualified cybersecurity professionals for defensive operations. ...

Cornell’s ME-AI Model Captures Human Intuition for Quantum Materials Discovery Researchers at Cornell University have introduced a novel machine-learning model, Materials Expert-Artificial Intelligence (ME-AI), designed to quantify and encapsulate the intuition of human experts to accelerate the discovery of new quantum materials. The model effectively “bottles” expert knowledge into descriptors that can accurately predict a material’s functional properties. In a proof-of-concept test, ME-AI was trained on expert-curated data to identify a specific desirable characteristic across 879 materials. The model not only reproduced the human expert’s intuition but also expanded upon it, proving its ability to generalize predictions to other compound sets. This research establishes a powerful model for future collaborations between materials scientists and AI experts to push the boundaries of scientific discovery. ...