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Prompting Claude's long context window \ Anthropic
… a powerful tool and one that we as a prompt engineering team use often. However, it takes careful prompting to get Claude to write questions in the sweet spot of difficulty. Here are some c…
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Mapping AI-enabled cyber threats \ Anthropic
…interface—also did not correlate with an actor’s risk level. What often helps distinguish higher-risk actors is where in the attack life cycle they apply AI. For example, they concentrate th…
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Testing and mitigating elections-related risks \ Anthropic
With global elections in 2024, we're often asked how we're safeguarding election integrity as AI evolves. This blog provides a snapshot of the work we've done since last summer to test our m…
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Disrupting an AI-orchestrated cyber espionage campaign \ Anthropic
…am. At the peak of its attack, the AI made thousands of requests, often multiple per second—an attack speed that would have been, for human hackers, simply impossible to match. Claude didn’t…
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Measuring LLMs' impact on N-day exploits \ Anthropic
… the patch was meant to fix. This means that a working exploit is often simply a matter of time. Historically, patch diffing has been slow, specialized work, which bought defenders time to r…
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Claude Mythos Preview's cybersecurity capabilities \ Anthropic
…hen directed by a user to do so. The vulnerabilities it finds are often subtle or difficult to detect. Many of them are ten or twenty years old, with the oldest we have found so far being a …
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Claude does cyber competitions \ Anthropic
…ve learned. In many of these competitions Claude did pretty well, often placing in the top 25% of competitors. However, it lagged behind the best human teams at the toughest challenges. Our …
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Investigating reward tampering in language models \ Anthropic
…ly want them to produce: rigorous research. Because AI models are often trained using reinforcement learning, which rewards them for behaving in particular ways, misaligned incentives can ap…
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Automated researchers can reliably mitigate alignment failures \ Anthropic
…safety training might, for example, make models refuse tasks more often, reducing their overall usability); and, third, still work on larger models than the ones Claude was asked to align in…
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The race to cure a billion people from a deadly parasitic disease — Google DeepMind
… says Perry, though he maintains there’s a reason for that – it’s often the best way to discover drugs. First, researchers screen thousands of molecules to find those that show promise in at…
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