ANTHROPIC SHIPS CLAUDE OPUS 4.7; SECURITY DIAL TURNS UP WITH MYTHOS PREVIEW
Anthropic released Claude Opus 4.7 with stronger coding, higher‑res vision, and a cautious security stance while its Mythos preview exposes large vulnerability ...
Anthropic released Claude Opus 4.7 with stronger coding, higher‑res vision, and a cautious security stance while its Mythos preview exposes large vulnerability sets.
Opus 4.7 boosts complex coding and autonomous task reliability, adds self‑verification, and accepts ~3.75MP images, while staying priced at $5/$25 per million tokens; Anthropic warns the new tokenizer and higher effort tiers can raise real costs, so test with production traffic before switching (Campus Technology, Substack benchmarks). It’s live via API and on Amazon Bedrock, Google Cloud’s Vertex AI, and Microsoft Foundry Campus Technology.
Meanwhile, Anthropic’s more capable Mythos remains in restricted preview under Project Glasswing after uncovering “thousands” of vulnerabilities in major platforms; Mozilla says Firefox 150 shipped with 271 Mythos‑found fixes (CBC, Ars Technica, Simon Willison).
Opus 4.7 looks materially better at long‑running coding and data tasks, but may change token economics and prompt behavior.
Mythos’ results suggest AI‑assisted vuln discovery is accelerating, raising the bar for CI security and patch velocity.
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A/B Opus 4.6 vs 4.7 on your real eval set: codegen accuracy, self‑verification win rate, regression risk, and $/task with the new tokenizer.
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Trial high‑res screenshot/OCR pipelines (dashboards, PDFs) using 4.7 vision; measure extraction accuracy and token spend at scale.
Legacy codebase integration strategies...
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Roll out 4.7 behind flags with an automatic 4.6 fallback; cap max tokens and effort to control surprise cost spikes.
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Pilot AI‑assisted SAST/fuzzing in CI using 4.7 while tracking Mythos’ availability; define triage SLAs for increased finding volume.
Fresh architecture paradigms...
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Standardize on 4.7 for coding agents and ETL refactors; design prompts around self‑verification loops and tool use.
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Build vision‑informed data ingestion (screenshots, docs) with quota guards; host on Vertex AI or Bedrock for enterprise controls.
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