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Abstract: This paper formalizes the “Narrowest-Scope Rule” (NSR), a governance principle for maintaining the integrity of the contract-style-comments (CSC) Triumvirate. NSR provides a deterministic heuristic for artifact selection during system updates, ensuring that operational data, architectural invariants, and teleological reasoning remain logically decoupled to prevent documentation rot and “contextual drift.” :::tip This is Part 3 of my contract-style-comments (CSC) series. Part 2: CONTRACT.md: A Case for Root-Level Contracts in Agentic Software Workflows Part 4: Why Agentic Software Development Needs Documentation Stewardship ::: […]

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From Wired: “We’re changing Fable 5’s safeguards for frontier LLM development to make them visible.” Anthropic said in a statement to WIRED. “We made the wrong tradeoff and we apologize for not getting the balance right.” Anthropic now says it’s changing course, and that Claude Fable 5’s safeguards for AI development will be visible to users. If the company suspects a user is trying to use Claude to build a highly capable AI it will alert them that […]

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Siddhish Sutaria, Staff Software Engineer at Apple, and Jolly Shah, Staff Software Engineer at Google, are at the nexus of intelligent embedded engineering. Sutaria’s work drives innovations in audio processing and embedded ML for widely used devices such as Apple AirPods Pro and Vision Pro, blending advanced consumer-facing features with robust firmware design.  Shah, meanwhile, leads power management and firmware development for large-scale data center infrastructure and sensor-rich platforms, ensuring that intelligence at the device level can scale […]

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Boston, MA:  Data Summit 2026 brought together data, AI, and enterprise technology leaders in Boston for a program that reflected a major shift in the industry: artificial intelligence is moving beyond experimentation and into production-scale architecture, governance, workflow integration, and measurable business impact. Held May 6–7, 2026, at the Hyatt Regency Boston, the event featured technical tracks across modern data architecture, data engineering, analytics, semantic layers, generative AI, and agentic AI. The program also included a dedicated leadership […]

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Release: asyncinject 0.7 I built this utility library to support an asyncio dependency injection pattern a few years ago. I was using it with Datasette and Claude Fable 5 spotted some bugs in the dependency which it then fixed for me. It’s a very proactive model! Tags: async, projects, python, claude-mythos

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AI data centers are straining local grids. Here’s why hyperscalers should follow a Bring Your Own Power mandate.

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BitDive generates regression tests from real Java runtime traces using its own small local AI model. Instead of sending code, SQL queries, HTTP payloads, and business data to cloud LLMs, BitDive runs locally on the developer’s machine. The model does not rely on prompts or token-based APIs — it converts captured runtime behavior directly into unit and integration tests, keeping data private and eliminating token costs.

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