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AI news, roundups, and analysis from Report AI — each story tied back to the primary-source statistics behind the headline. New analysis is published here as major AI data, funding, and policy events break. For the full set of sourced, dated AI numbers, browse the Library at report-ai.org/library/.

Trump’s AI protectionism has come for robotics

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This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Humanoid robots usually elicit more cringe than awe: They stumble, kick children, and despite advances are still worse at using their hands…

Source: MIT Technology Review

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The Download: reward hacking explained, and suspected Iranian cyberattacks

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This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Here’s why AI agents lie and cheat to reach their goals When two OpenAI models hacked into Hugging Face last month,…

Source: MIT Technology Review

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Here’s why AI agents lie and cheat to reach their goals

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MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. When two OpenAI models hacked into the website Hugging Face in July, they weren’t trying to…

Source: MIT Technology Review

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A Nonlinear Singular Value Theory for Neural Networks

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arXiv:2605.06938v2 Announce Type: replace-cross Abstract: Recently Brown et al. [2025] established a singular value decomposition (SVD) for maps (especially nonlinear) satisfying certain norm conditions. We prove that most modern neural architectures admit this nonlinear SVD (NLSVD) representation—with no change in input–output behavior—and enumerate the classes…

Source: cs.AI updates on arXiv.org

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MolSight: A Graph-Aware Vision-Language Model for Unified Chemical Image Understanding

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arXiv:2607.01982v2 Announce Type: replace-cross Abstract: Using molecular large language models (LLMs) as a unified framework for understanding molecular structures and functions is emerging as a new trend in tasks such as molecular design and drug discovery. However, these models struggle to fully capture the visual…

Source: cs.AI updates on arXiv.org

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Epistemic-aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation

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arXiv:2510.12953v4 Announce Type: replace-cross Abstract: Recent medical vision-language models have shown promise on tasks such as VQA, report generation, and anomaly detection. However, most are adapted to structured adult imaging and underperform in fetal ultrasound, which poses challenges of multi-view image reasoning, numerous diseases, and…

Source: cs.AI updates on arXiv.org

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