Anthropic shipped Opus 4.7 under pressure after weeks of community revolt over perceived performance regression in 4.6, including a viral GitHub post from an AMD senior director calling Claude "no longer reliable for complex engineering." The community reception on launch day was notably skeptical despite strong partner testimonials, with Hacker News commenters essentially saying "we'll believe it when we see it." Key model card deltas to know: - Knowledge cutoff jumped from May 2025 → January 2026 - Vision resolution tripled: 1.25MP → 3.75MP - New xhigh effort tier (Opus 4.7 exclusive), now the default in Claude Code - Extended thinking budgets removed — a hard API break - Sampling parameters removed — another hard break that will catch people off-guard - New tokenizer inflates effective token usage up to 35% despite unchanged nominal pricing The Mythos shadow is the meta-narrative: Anthropic publicly concedes Opus 4.7 trails the unreleased Mythos Preview on every benchmark measured, and explicitly designed 4.7 as a safeguard testbed before any public Mythos rollout under Project Glasswing. That's a remarkable admission to lead a flagship release with. Developer Reception on Launch Day Despite pre-release skepticism, early-access partner testimonials — covering Cursor, Devin, Replit, Notion, Vercel, Ramp, and others — were uniformly strong. Aggregated themes from partner feedback: - Coding autonomy: Multiple partners reported 10–15% task-success lifts with fewer tool errors and more reliable follow-through on validation steps. - Self-correction: Opus 4.7 was consistently praised for catching its own logical faults during planning — not just execution — a behavior change developers called "new". - Long-horizon reliability: Devin's team noted it "works coherently for hours, pushes through hard problems rather than giving up". Warp confirmed it "passed Terminal Bench tasks that prior Claude models had failed, and worked through a tricky concurrency bug Opus 4.6 couldn't crack". - Dashboard and UI work: One early tester called it "the best model in the world for building dashboards and data-rich interfaces" — a direct reference to the improved vision and creativity.

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Hi everyone 👋 I am an AI and full-stack engineer working on LLM systems, AI agents, automation, and multimodal AI (text, voice, and vision). Most of my work focuses on building AI systems that run in real production environments, not just demos. I usually connect LLMs with APIs, databases, tools, and business logic so they can operate reliably inside real workflows. *AI / ML Systems* • LLM orchestration pipelines • tool use (ReAct-style) and reasoning loops • safety guardrails and grounded generation • evaluation and reliability pipelines • multi-agent workflows and memory systems • RAG systems (vector databases, hybrid search, custom retrievers) • document intelligence (PDF extraction, OCR, structured data pipelines) • multimodal AI (text, voice, vision, audio pipelines) *Full-Stack & Infrastructure* • React / Next.js frontends • FastAPI / NestJS backend systems • secure APIs and RBAC design • automation pipelines (n8n, Zapier, Make, webhooks) • API integrations and workflow orchestration • cloud deployment and scalable backend systems • monitoring, observability, and production reliability Recently I have also been exploring AI systems in the music industry, including music understanding, audio analysis, recommendation systems, and AI-assisted production workflows. I have worked on systems in areas like healthcare AI, document intelligence, and automation platforms. For this good community, Let's build perfect a lot ! 💪

what gets measured, gets managed This pixel system, which is devoted to tracking AI bots across entity graphs, is a gold mine of insights. It's not just a silly dashboard-- two AI models review mine for insights, independently, 3x daily looking for trends, deltas, opportunity gaps. There's no substitute for having your own independent ground truth data system at this moment. So build one. Can be run for free, or $5/month for nearly unlimited data (thanks CF) If you need the cookbook, it's in the Hidden State Drift Mastermind. (hiddenstatedrift[.]com) if you need one built for you, hit me up and we can talk about it.

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