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Mapping AI-enabled cyber threats \ Anthropic
…as being medium risk or higher jumped from 33% to 56% between the first and second halves of the year. This suggests that AI is helping attackers conduct increasingly sophisticated cyber ope…
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Testing and mitigating elections-related risks \ Anthropic
… actionable insights into where we need additional reinforcement. First, we select the policy area we want to test: for example, election administration and the mechanics of voting. Second, …
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Previewing the Model Hardware Standard \ Anthropic
…cification for AI agents to safely operate physical devices, to a first group of scientific research labs and advanced manufacturers. MHS enables AI agents to operate multiple lab and manufa…
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Disrupting an AI-orchestrated cyber espionage campaign \ Anthropic
…turing companies, and government agencies. We believe this is the first documented case of a large-scale cyberattack executed without substantial human intervention. Upon detecting this acti…
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Introducing Claude 4 \ Anthropic
…nts for complex changes across multiple files. Block calls it the first model to boost code quality during editing and debugging in its agent, codename goose, while maintaining full performa…
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Claude Haiku \ Anthropic
… compaction to complex products and agent systems. It is also the first Haiku with effort controls, so teams can tune cost against intelligence for each task. Haiku 5.5 powers high-volume pr…
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Claude Mythos Preview's cybersecurity capabilities \ Anthropic
…rity tooling has historically benefitted defenders more than attackers. When the first software fuzzers were deployed at large scale, there were concerns they might enable attackers to ident
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Automated researchers can reliably mitigate alignment failures \ Anthropic
…it ran. Our aim was to assess whether the proposed methods would, first, remain effective on alignment evaluations that Claude was never shown during its research loop; second, avoid degradi…
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AlphaEarth Foundations helps map our planet in unprecedented detail — Google DeepMind
…two major challenges: data overload and inconsistent information. First, it combines volumes of information from dozens of different public sources— optical satellite images, radar, 3D laser…
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Identifying AI-generated images with SynthID — Google DeepMind
…le digital watermark for AI-generated images. Google Cloud is the first cloud provider to offer a tool for creating AI-generated images responsibly and identifying them with confidence. This…
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