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Anthropic's core views on AI safety \ Anthropic
…that AI could be a risk to our safety and security. There are two common sense reasons to be concerned. First, it may be tricky to build safe, reliable, and steerable systems when those syst…
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Harness design for long-running apps \ Anthropic
…he rails over time. While decomposing this issue, we observed two common failure modes with agents executing these sorts of tasks. First is that models tend to lose coherence on lengthy task…
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Contextual retrieval in AI systems \ Anthropic
…ying a saturation function to term frequency, which helps prevent common words from dominating the results. Here’s how BM25 can succeed where semantic embeddings fail: Suppose a user queries…
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Introducing Agent Skills | Claude by Anthropic
…ro, Max, Ultra, Team, and Enterprise users. We provide skills for common tasks like document creation, examples you can customize, and the ability to create your own custom skills. Claude au…
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Previewing the Model Hardware Standard \ Anthropic
…o integrate them. And once the devices are connected, there is no common way for them to share data with an AI agent, nor to let the agent operate them safely. MHS addresses these challenges…
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Detecting and countering misuse of AI: August 2025 \ Anthropic
…systems, in real time. We expect attacks like this to become more common as AI-assisted coding reduces the technical expertise required for cybercrime. Our response: We banned the accounts i…
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Measuring LLMs' impact on N-day exploits \ Anthropic
… We focused on Firefox’s JavaScript engine because it is the most common entry point in real-world browser exploit chains. We kept only bugs whose fixes had been public in Mozilla’s source r…
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Automated researchers can reliably mitigate alignment failures \ Anthropic
…hmarks and automated auditing tools, such as Petri, that quantify common alignment failures, like deception, sycophancy, and jailbreaks. In one of our earlier experiments, we tasked Claude w…
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Identifying AI-generated images with SynthID — Google DeepMind
…colours, and saving with various lossy compression schemes — most commonly used for JPEGs. SynthID uses two deep learning models — for watermarking and identifying — that have been trained t…
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Competitive programming with AlphaCode — Google DeepMind
…ompetitions as recruiting tools and similar types of problems are common in hiring processes for software engineers. I can safely say the results of AlphaCode exceeded my expectations. I was…
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