digitado

In this quiz, you’ll test your understanding of Serialize Your Data With Python. By working through this quiz, you’ll revisit how to choose between textual and binary formats, when to use schemas, and how to apply tools like pickle, json, the csv module, Parquet, and Protocol Buffers safely and effectively. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here […]

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If your remit is to help your organisation add AI agents to accelerate its processes, you have to start at the foundation – and that means making your data available for AI consumption. Agentic AI scales on data strength, as Niels Zeilemaker, global CTO at Xebia, explains. “If you don’t think about that, you can build the best agent, but it will never be able to find the correct data; maybe it will misinterpret the data, maybe it […]

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Modern technology has given us powerful telescopes, but they aren’t enough to reveal everything about the universe’s secrets, including black holes. Scientists rely heavily on computer simulations to recreate how particles, magnetic fields, and plasma act in some of the universe’s most extreme environments. But those simulations become so complex that even the most powerful computers struggle to keep up. OpenAI’s recent case study shows scientists are turning to Codex to tackle these hurdles. Geoffrey Chan leads the […]

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Concerns about AI have been growing considerably, especially over the past few months. The situation, although still in control, is at a stage where Jack Clark, the co-founder of Anthropic AI, suggested that artificial intelligence development needs to slow down. In line with that statement, the company launched a governance policy calling on authorities to take over and stop the deployment of dangerous AI agents. Anthropic claims that artificial intelligence systems can become sovereign and self-improving, posing strategic […]

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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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