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Claude

91 summarised stories about Claude, each linking back to the original source. Browse all topics →

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Friday, 24 July 2026

Meet the New Claude Opus 5: Frontier-Class Agentic Coding and Computer Use at Unchanged Opus Pricing

MarkTechPost 1 month ago 31 17 sources

Anthropic released Claude Opus 5, replacing Claude Opus 4.8 at the same price of $5 per million input tokens and $25 per million output tokens. The model enables thinking by default (whereas Opus 4.8 required manual activation), supports up to 1 million token context with 128k output on the standard API, and requires developers to remove verification prompts from existing code since the model now self-verifies. Developers must update API calls to handle the new thinking behavior or explicitly disable it, and they can reduce prompt cache minimums from 1,024 to 512 tokens.

Anthropic's Opus 5 is about token efficiency, not a capability leap

Ars Technica 1 month ago 12 17 sources

Anthropic released Opus 5, an updated language model focused on cost efficiency rather than major capability gains. The model performs at roughly the same level as Anthropic's Fable on coding benchmarks while costing approximately half as much, and shows only iterative improvements over Opus 4.8. Opus 5 deliberately lacks some cybersecurity training and drops certain safety policies, positioning it as a practical middle ground for developers prioritizing affordability over cutting-edge performance.

Anthropic launches Opus 5

TechCrunch 1 month ago 10 17 sources

Anthropic released Opus 5, a model smaller than its Fable 5 but cheaper and less restrictive while outperforming Fable 5 on several benchmarks. The model launched two months after Opus 4.8, and Anthropic reports its safety classifiers will engage 85% less often for Opus 5 than for Fable 5. Users now have access to a model with fewer restrictions and a new Automatic Fallbacks feature that routes blocked requests to a weaker model instead of returning an error.

An opinionated guide to which AI to use to do stuff

One Useful Thing 1 month ago 33 8 sources

The article guides users on which AI systems to use for different tasks, explaining that agentic systems now let AI handle multi-hour work autonomously with computer access, going beyond simple chatbot conversations. Claude Opus and ChatGPT's GPT-5.6 Sol at "High" thinking levels are recommended for high-stakes work, while ChatGPT Work and Claude Cowork (with company-provided computers) or Codex and Claude Code (with personal computer access) enable the most powerful applications. The key difference is that desktop versions grant the AI access to your actual computer, enabling complex multi-file projects like the author's book fact-checking task that took 30 minutes and verified 195 references without errors, fundamentally changing AI from a chatbot interface to a delegated work team.

Claude Voice Mode Enhances Reasoning Capabilities

Claude 1 month ago 33 8 sources

Anthropic expanded Claude's voice mode to run on its more capable Opus and Sonnet models, not just Haiku, while adding support for 12 languages and integration with tools like Gmail and Slack. Voice mode now defaults to the fastest version of whichever model users select, allowing mid-conversation switching between Haiku, Sonnet, and Opus for deeper reasoning on complex problems. Users can now have longer, more sophisticated voice conversations for business decision-making and can trigger connected tools through voice commands after requesting permission.

LEAD: Breaking the No-Recovery Bottleneck in Long-Horizon Reasoning

Apple 1 month ago 16

Researchers identified a "no-recovery bottleneck" in large language models attempting long-horizon reasoning tasks, where errors on difficult steps become irreversible despite task decomposition. They developed Lookahead-Enhanced Atomic Decomposition (LEAD), which combines short-horizon future validation with overlapping rollouts to maintain stability while enabling error correction. The method allows Claude o4-mini to solve Checkers Jumping puzzles up to complexity n=13, compared to n=11 with extreme decomposition approaches.

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