Cracking conversation with Dr Craig Martell, CTO of @LockheedMartin and the @arnelpdavid
, Director of Project Maven: – AI isn’t magical pixie dust
– Build for capability gaps
– Getting @NATO to adopt Palantir’s Maven Smart System in 6 months
– Wargaming future wars
– Why the
POLICY
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Craig Martell on AI Military Capabilities and NATO Maven Adoption
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Chinese Robotics Technology Security Concerns and Geopolitical Implications
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Today, I have tried to convince a proud European TED speaker that her wonderfully capable, presentable and affordable Unitree robots might contain backdoors, and relying on Chinese technology is no replacement for developing robotics capabilities of our own
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China restricts Nvidia chip purchases, advances semiconductor independence
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Last week, China barred its major tech companies from buying Nvidia chips. This move received only modest attention in the media, but has implications beyond what’s widely appreciated. Specifically, it signals that China has progressed sufficiently in semiconductors to break away
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CISA Emergency Directive: Network Security Threats and Government Access
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Who has more insight into your computer network: your IT team or Xi Jinping? Consider that hypothetical as you contemplate CISA's latest Emergency Directive. pic.twitter.com/h9dGgaRK7T
— Bob Gourley – e/acc (@bobgourley) 25 septembre 2025Who has more insight into your computer network: your IT team or Xi Jinping? Consider that hypothetical as you contemplate CISA's latest Emergency Directive.
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AI Prior Authorization Program Raises Healthcare Concerns
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What could possibly go wrong? https://
kffhealthnews.org/news/article/a
i-medicare-prior-authorization-trump-pilot-program-wiser/?utm_campaign=KHNFirstEdition&utm_medium=email&_hsenc=p2ANqtz–ea5c2MUpa_mWlasUTiUurxkRHR10Fkkw0G_9uhOnyDfAq-GCbYjieDw97IBZSdkjhkogBXEOvkQL-Y2c03U0I-t64nw&_hsmi=382232457&utm_content=382232457&utm_source=hs_email
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Validating AI Claims: A Policy Framework for Policymakers
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NEW: How can we validate claims about AI? Many AI companies often base their testing on specific tasks but overstate their overall capabilities. Our latest policy brief presents a validation framework for separating legitimate from unsupported claims. https://
hai.stanford.edu/policy/validat
ing-claims-about-ai-a-policymakers-guide
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LLMs Shaping Politics: Comparing Models with Real-World Polls
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The team envisions comparing model outputs w/real-world polls, expanding studies to other democracies, examining newer reasoning or "thinking" models, & exploring downstream effects on users. For now, the dataset helps us understand how LLMs are shaping modern political
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LLM Election Data 2024 Dataset Released by Researchers
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Authors: @cen_sarah
, @andrew_ilyas
, Hedi Driss, Charlotte Park, @aspenkhopkins
, @charapod
, & @aleks_madry Data: https://
huggingface.co/datasets/sarah
cen/llm-election-data-2024
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MIT team releases 16M LLM responses dataset from 2024
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The MIT CSAIL, Sloan, & LIDS team collected each LLM’s responses to their carefully crafted prompts from July to November 2024. They generated a dataset of over 16M time-stamped responses from LLMs, answering questions about topics such as candidate traits, election issues, &
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LLM Behavior During 2024 US Election: Stability and Contradictions
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The dataset presents a multidimensional view of LLM behavior that captures both stability & change during the first major US election since LLMs became mainstream. It essentially lets you watch these models think, stumble, & sometimes contradict themselves during the 2024