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Previewing the Model Hardware Standard \ Anthropic
…t practices for AI systems operating physical equipment, ahead of making the standard open source. MHS works with any device that has a programmable interface. It is also model-agnostic, and…
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Introducing Claude 4 \ Anthropic
…surgical code edits, and more careful work through complex tasks, making it the top choice for their primary model. These models advance our customers' AI strategies across the board: Opus 4…
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Our updated Responsible Scaling Policy \ Anthropic
…across the AI ecosystem. The frontier of AI is advancing rapidly, making it challenging to anticipate what safety measures will be appropriate for future systems. All aspects of our safety p…
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Claude does cyber competitions \ Anthropic
…ghts the potential for AI to alter the offense-defense balance by making it easier for attackers to automate the exploitation of basic vulnerabilities. More research and development into AI-…
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Investigating reward tampering in language models \ Anthropic
…wards, tampering with them adds unpredictability to its behavior, making it more difficult to steer and control. Third, reward tampering can involve deception: as we will see, models display…
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Automated researchers can reliably mitigate alignment failures \ Anthropic
…raining examples, built from simple templates or public datasets, making it roughly 15,000 times more efficient than our production alignment procedure. For the most part, the agents converg…
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AlphaEarth Foundations helps map our planet in unprecedented detail — Google DeepMind
…h rate creates a new challenge: connecting disparate datasets and making use of them all effectively. Today, we’re introducing AlphaEarth Foundations, an artificial intelligence (AI) model t…
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The race to cure a billion people from a deadly parasitic disease — Google DeepMind
…, progress had slowed almost to a halt. “We couldn’t find ways of making changes that improved the drug molecule,” says Perry. “It either lost all its potency as an anti-parasitic or it kind…
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GraphCast: AI model for faster and more accurate global weather forecasting — Google DeepMind
…te and efficient forecasts, and opening paths to support decision-making critical to the needs of our industries and societies. And, by open sourcing the model code for GraphCast, we are ena…
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Millions of new materials discovered with deep learning — Google DeepMind
…ity. Of its 2.2 million predictions, 380,000 are the most stable, making them promising candidates for experimental synthesis. Among these candidates are materials that have the potential to…
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