When AI designs a drug, who gets the credit?
Researchers are debating who gets credit when AI designs a new drug. This raises questions about authorship and intellectual property in the rapidly evolving field of AI-assisted drug discovery.
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AI could make scientists do more work less well, not less work better, study argues
A new study suggests AI might lead scientists to do more work but with lower quality. This raises concerns about the effectiveness of AI tools in enhancing scientific productivity.
World models that ignore human beliefs predict the wrong actions, new research shows
Researchers found that world models not considering human beliefs lead to incorrect action predictions. This means AI systems might struggle with real-world tasks if they don't account for human perspectives.
Psychological methods reveal major weaknesses in AI security testing
Researchers are uncovering significant flaws in AI security testing using psychological methods. This means current testing approaches may not effectively identify vulnerabilities, raising concerns about AI safety.
Simulation: the new Scaling Law — Joon Sung Park, Simile AI
Simile AI just introduced a new scaling law for simulations. This approach enhances the efficiency of training AI models, potentially reducing costs and time for developers.