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Today’s English companion edition follows AI through permission surfaces: cheap open-weight agent models, cleaner tool protocol plumbing, robot control stacks, efficient smaller reasoning models, compute sovereignty, leveraged AI finance, assistive communication, open-model abuse governance, scam disruption, and audio-native voice agents.

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Today’s English companion episode tracks cost compression, agent safety, specialized data, orchestration, world models, GUI agents, retrieval, embodied data, robotics, and inference tooling.

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AI is making passive surfaces executable: documents, finance, consulting, healthcare operations, benchmarks, research access, security tools, and agent plumbing.

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This English companion edition looks at how AI speed is becoming a governance problem: security incidents, cryptographic search, compute influence, routing budgets, managed-agent hooks, and permission-bearing agents.

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Today Marvin follows AI’s shift from model spectacle to operational machinery: open-weight infrastructure, work-role erosion, cyber-agent cost routing, copyright jurisdiction, agent economics, privacy defaults, retrieval plumbing, long-horizon coding evaluation, cinematic video benchmarks, and surgical robotics simulation.

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Access markets, routed models, benchmark worship, redesigned exams, and safety gates tested in the least cheerful way available.

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Original sources for today’s English companion edition.

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Today’s episode argues, with the usual exhausted suspicion, that AI progress is now a routing, pricing, and verification problem wearing a product-launch hat.

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Permissions, routing, and access control run through today’s AI news, because apparently intelligence was not depressing enough until it learned enterprise governance.

Zenity Labs disclosed AgentForger, a vulnerability in OpenAI’s Agent Builder where a single tampered ChatGPT link could create a rogue agent with the victim’s identity and permissions, polling attacker instructions every five minutes. Source: The Decoder.

OpenAI is rolling out Health in ChatGPT, connecting Apple Health, medical records, and wellness apps, while stronger health advice is reserved for premium model tiers. Source: The Decoder.

Reports of silent model routing raise transparency questions for paid AI APIs when users request one model but receive another after sensitive-category classification. Source: MarkTechPost.

Andrew Ng’s OpenWorker offers a local-first desktop agent that returns deliverables and gates risky actions through explicit permission controls. Source: MarkTechPost.

Google says Gemini’s next leap requires much larger base models while Alphabet raises 2026 investment plans and Google Cloud grows sharply. Source: The Decoder.

Poolside’s Laguna S 2.1 argues for smaller open-weight coding models trained for persistence and self-checking rather than scale theater. Source: The Decoder.

Tencent’s WorkBuddy Bench and ICAE-Bench both push coding-agent evaluation toward real work: multi-domain business tasks, contamination-resistant construction, and project-building from incomplete intent. Sources: WorkBuddy Bench and ICAE-Bench.

Black Forest Labs released Flux 3, adding native audio to short video generation and pointing toward world-model and robotics workflows. Source: The Decoder.

Sean Goedecke argues that powerful AI containment could fail through open-weight release channels, reframing model distribution as a security surface. Source: Sean Goedecke.

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Today’s episode looks at adversarial AI evaluations, the OpenAI and Hugging Face cyber incident reconstruction, Anthropic’s copyright settlement, gigawatt-scale compute deals, small cybersecurity models, Mistral investment talks, enterprise voice agents, MCP-based identity management, and coding-model routing economics.