{"id":1055,"date":"2026-05-28T18:01:10","date_gmt":"2026-05-28T18:01:10","guid":{"rendered":"https:\/\/silvybrand.com\/?p=1055"},"modified":"2026-05-28T18:01:10","modified_gmt":"2026-05-28T18:01:10","slug":"anthropic-claude-4-8-opus-honesty-effort","status":"publish","type":"post","link":"https:\/\/silvybrand.com\/?p=1055","title":{"rendered":"Claude\u2019s new model is more \u2018honest\u2019 when it messes up"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div>\n<p class=\"duet--article--dangerously-set-cms-markup duet--article--standard-paragraph _1044qizi _18mzr4b1 _18mzr4b0 _19wv7tc1\">Anthropic is releasing Claude Opus 4.8 on Thursday, and the company is touting the model\u2019s \u201chonesty.\u201d<\/p>\n<\/div>\n<div>\n<p class=\"duet--article--dangerously-set-cms-markup duet--article--standard-paragraph _1044qizi _18mzr4b1 _18mzr4b0 _19wv7tc1\">According <a href=\"https:\/\/www.anthropic.com\/news\/claude-opus-4-8\">to Anthropic<\/a>, it trains \u201call [its] models to be honest \u2014 for instance, to avoid making claims that they can\u2019t support.\u201d But it notes that \u201ca general problem with AI models is that they sometimes jump to conclusions, confidently presenting their work as making progress despite thin evidence.\u201d<\/p>\n<\/div>\n<div>\n<p class=\"duet--article--dangerously-set-cms-markup duet--article--standard-paragraph _1044qizi _18mzr4b1 _18mzr4b0 _19wv7tc1\">The AI lab claims that early testers have found that Opus 4.8 \u201cis more likely to flag uncertainties about its work and less likely to make unsupported claims.\u201d In the company\u2019s evaluations, Opus 4.8 is \u201caround 4x less likely than its predecessor to allow flaws in code it\u2019s written to pass unremarked.\u201d<\/p>\n<\/div>\n<div>\n<p class=\"duet--article--dangerously-set-cms-markup duet--article--standard-paragraph _1044qizi _18mzr4b1 _18mzr4b0 _19wv7tc1\">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\u2019t want to burn through their rate limits as quickly.<\/p>\n<\/div>\n<div>\n<p class=\"duet--article--dangerously-set-cms-markup duet--article--standard-paragraph _1044qizi _18mzr4b1 _18mzr4b0 _19wv7tc1\">Anthropic is also launching a feature called \u201cdynamic workflows\u201d in research preview, which the company says will let Claude \u201ctake on even bigger tasks.\u201d With dynamic workflows, \u201cClaude 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.\u201d<\/p>\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/www.theverge.com\/ai-artificial-intelligence\/939094\/anthropic-claude-4-8-opus-honesty-effort\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anthropic is releasing Claude Opus 4.8 on Thursday, and the company is touting the model\u2019s \u201chonesty.\u201d According to Anthropic, it trains \u201call [its] models to be honest \u2014 for instance, to avoid making claims that they can\u2019t support.\u201d But it notes that \u201ca general problem with AI models is that they sometimes jump to conclusions, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1056,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[31,175,46],"class_list":["post-1055","post","type-post","status-publish","format-standard","has-post-thumbnail","category-gadgets","tag-ai","tag-anthropic","tag-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - 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