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Claude’s new model is more ‘honest’ when it messes up

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Why This Matters

Anthropic's release of Claude Opus 4.8 marks a significant step toward more trustworthy AI, emphasizing honesty and transparency in its responses. The model's improved ability to acknowledge uncertainties and avoid unsupported claims enhances reliability for users and developers. Additionally, new features like adjustable effort levels and dynamic workflows expand the model's versatility for complex tasks, signaling progress in AI usability and safety.

Key Takeaways

is a senior reporter covering technology, gaming, and more. He joined The Verge in 2019 after nearly two years at Techmeme.

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Anthropic is releasing Claude Opus 4.8 on Thursday, and the company is touting the model’s “honesty.”

According to Anthropic, it trains “all [its] models to be honest — for instance, to avoid making claims that they can’t support.” But it notes that “a general problem with AI models is that they sometimes jump to conclusions, confidently presenting their work as making progress despite thin evidence.”

The AI lab claims that early testers have found that Opus 4.8 “is more likely to flag uncertainties about its work and less likely to make unsupported claims.” In the company’s evaluations, Opus 4.8 is “around 4x less likely than its predecessor to allow flaws in code it’s written to pass unremarked.”

In addition to the honesty improvements, with Opus 4.8, users can direct the amount of effort Claude puts into a task. Higher-effort responses will use more tokens, giving users the option of lower-effort responses if they don’t want to burn through their rate limits as quickly.

Anthropic is also launching a feature called “dynamic workflows” in research preview, which the company says will let Claude “take on even bigger tasks.” With dynamic workflows, “Claude can plan the work and then run hundreds of parallel subagents in a single session (and with Opus 4.8, the agents can run for even longer). It then verifies its outputs before reporting back to the user.”