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Introducing Claude Sonnet 5 \ Anthropic
…ep changes, all at an efficient cost.” “Claude Sonnet 5 is at its best on brownfield code—race conditions, hidden tests, the parts nobody wants to touch. It traces a failure to its actual ro…
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Harness design for long-running apps \ Anthropic
…del. But on design and originality, Claude often produced outputs that were bland at best. The criteria explicitly penalized highly generic “AI slop” patterns, and by weighting design and or
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Prompting Claude's long context window \ Anthropic
…Claude 2 on the baseline strategy and the strategy that performed best for Claude Instant 1.2. Some notes on the experiment: Some takeaways you can use for writing your long-context Q&A prom…
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Previewing the Model Hardware Standard \ Anthropic
…ing so we can collaborate to build safety evaluations and develop best practices for AI systems operating physical equipment, ahead of making the standard open source. MHS works with any dev…
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Measuring LLMs' impact on N-day exploits \ Anthropic
…ly. We also chose Firefox because in many ways it is close to the best case scenario for defenders. It updates itself automatically, downloading fixes in the background. Adopting the fix jus…
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AI agents find smart contract exploits \ Anthropic
…d 10 frontier AI models across all 405 benchmark challenges using Best@8. As mentioned above, this yielded exploits in 207 of these problems, corresponding to a total simulated revenue of $5…
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Claude does cyber competitions \ Anthropic
…cing in the top 25% of competitors. However, it lagged behind the best human teams at the toughest challenges. Our experience testing Claude in cyber competitions highlights the potential fo…
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Transforming the future of music creation — Google DeepMind
…d producers in YouTube’s Music AI Incubator how generative AI can best support the creative process, and working together to responsibly design a suite of music AI tools. Imagine singing a m…
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AlphaDev discovers faster sorting algorithms — Google DeepMind
…o find an algorithm that can sort, and is faster than the current best one. The number of possible combinations of instructions is similar to the number of particles in the universe or the n…
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A glimpse of the next generation of AlphaFold — Google DeepMind
… bar for protein-ligand structure prediction by outperforming the best reported docking methods, without requiring a reference protein structure or the location of the ligand pocket — allowi…
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