Letting AI Browse The Web For You Sounds Great Until It Goes Wrong AI-powered #browseragents promise to transform how we #search, #shop and work #online by acting directly on our behalf. This article explores the real #security #risks behind this emerging technology and
SAFETY
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Digital Red Queen: Adversarial Program Evolution in Core War with LLMs
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Digital Red Queen: Adversarial Program Evolution in Core War with LLMs https://
arxiv.org/abs/2601.03335 This work is a collaboration between MIT + Sakana AI By @AkarshKumar0101 @RyanBoldi @Prafull7 @Phillip_Isola @Risi1979 @Yujin_Tang @hardmaru -
OpenAI launches HIPAA-compliant healthcare AI solutions
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OpenAI introduces “OpenAI for Healthcare,” offering secure, HIPAA-compliant AI solutions tailored for hospitals and healthcare systems at scale.
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Digital Red Queen: Adversarial Program Evolution in Core War with LLMs
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Digital Red Queen: Adversarial Program Evolution in Core War with LLMs
— hardmaru (@hardmaru) 8 janvier 2026
Blog Post: https://t.co/DwllY5YNOD
Full Paper (Website): https://t.co/PKfXJTWfRN
Full Paper (arxiv): https://t.co/V0elSPvSaQ
More information:https://t.co/GD1iLlvnUCDigital Red Queen: Adversarial Program Evolution in Core War with LLMs Blog Post: https://
sakana.ai/drq/
Full Paper (Website): https://
pub.sakana.ai/drq/
Full Paper (arxiv): https://
arxiv.org/abs/2601.03335 More information: -
Core War: Adversarial Program Evolution and Digital Red Queen
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Survival of the fittest code.
— hardmaru (@hardmaru) 8 janvier 2026
Core War (1984) is a game where programs must crash their opponents to survive. Warriors written in an assembly language called Redcode fight for control of a virtual machine.
Our new paper: Digital Red Queen: Adversarial Program Evolution in Core… pic.twitter.com/f5XGxfCJCFSurvival of the fittest code. Core War (1984) is a game where programs must crash their opponents to survive. Warriors written in an assembly language called Redcode fight for control of a virtual machine. Our new paper: Digital Red Queen: Adversarial Program Evolution in Core
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Researchers Extract Copyrighted Books From GPT-4 Claude Models
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Can you extract entire copyrighted books from top AI models like GPT-4 and Claude? Stanford & Yale researchers developed a two-step attack: first probing, then using iterative prompts to force the model to continue. They successfully extracted large portions of books, with
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Context Breakdown: The Hidden Challenge in AI System Reliability
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Most AI systems don’t fail because of bad prompts.
They fail because context breaks at scale. If you’re building AI agents, LLM workflows, copilots, or automation, this is the layer that quietly decides whether your system is reliable or unpredictable. We’re hosting a 5-hour, -
Open Source PR Contributor Receives Death Threat
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Also, this is how the submitter of the PR was treated (literal death threat), so I can understand why some folks were feeling heated
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AI Control Must Precede Alignment Discussions
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For all the talk about AI alignment, I worry we're putting the cart before the horse. You can't steer something you can't control. People often talk about containment and alignment in the same breath, but they're not interchangeable or a package deal. Containment is whether we
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Technical evaluation of AI-based harassment detection systems
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J’update mon message : apparement c’est basé sur la lecture des messages. Et non pas sur de l’harcèlement publique donc. Donc on détecte uniquement le harcèlement des messages. Ok c’est un choix. Réducteur, mais un choix. D’un point de vue technique c’est ok, mais ça veut