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@laura_garcia shared a post, 6ย days, 23ย hours ago
Software Developer, RELIANOID

๐Ÿš€ ๐—ฆ๐—–๐—”๐—Ÿ๐—˜ ๐Ÿฎ๐Ÿฏ๐˜… โ€“ ๐—ฆ๐—ผ๐˜‚๐˜๐—ต๐—ฒ๐—ฟ๐—ป ๐—–๐—ฎ๐—น๐—ถ๐—ณ๐—ผ๐—ฟ๐—ป๐—ถ๐—ฎ ๐—Ÿ๐—ถ๐—ป๐˜‚๐˜… ๐—˜๐˜…๐—ฝ๐—ผ

๐Ÿ“… March 5โ€“8, 2026 | ๐Ÿ“ Pasadena, California SCALE 23x โ€“ Southern California Linux Expo is back โ€” North Americaโ€™s largest community-run open source conference! Four days of: ๐Ÿ”น Open source innovation ๐Ÿ”น DevOps & cloud-native deep dives ๐Ÿ”น Cybersecurity insights ๐Ÿ”น Hands-on technical workshops ๐Ÿ”น Real commu..

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@laura_garcia shared a post, 1ย week ago
Software Developer, RELIANOID

Weโ€™re heading to Big Data & AI World 2026

Weโ€™re heading to Big Data & AI World 2026 ๐Ÿ“ 4โ€“5 March 2026 | London Part of Tech Show London 2026, this event brings together data and AI leaders focused on responsible, scalable AI and measurable business outcomes. At RELIANOID, we enable secure, high-performance infrastructures ready for AI-driven..

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@yelbur started using tool BigQuery , 1ย week, 1ย day ago.
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@kala shared a link, 1ย week, 2ย days ago
FAUN.dev()

Realtime Prompting Guide

OpenAI shipsgpt-realtimeand declares GA for theRealtime API. It's a speech-to-speech model that tightens instruction-following, steadiestool calling, and lifts voice fidelity. Latency drops. True realtime agents become possible. The release prescribesprompt skeletons,JSON envelopetool outputs,sessio.. read more ย 

Realtime Prompting Guide
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@kala shared a link, 1ย week, 2ย days ago
FAUN.dev()

The Pentagon is making a mistake by threatening Anthropic

Anthropic's Claude Gov, optimized for national security uses, has fewer restrictions than regular versions. The Pentagon is threatening retaliation if Anthropic does not waive these restrictions by Friday, including invoking the Defense Production Act or declaring Anthropic a supply chain risk. Anth.. read more ย 

NanoClaw is an open-source personal AI agent designed to run locally on your machine while remaining small enough to fully understand and audit. Built as a lightweight alternative to larger agent frameworks, the system runs as a single Node.js process with roughly 3,900 lines of code spread across about 15 source files.

The agent integrates with messaging platforms such as WhatsApp and Telegram, allowing users to interact with their AI assistant directly through familiar chat applications. Each conversation group operates independently and maintains its own memory and execution environment.

A core design principle of NanoClaw is security through isolation. Every agent session runs inside its own container using Docker or Apple Container, ensuring that the agent can only access files and resources that are explicitly mounted. This approach relies on operating systemโ€“level sandboxing rather than application-level permission checks.

The architecture is intentionally simple: a single orchestrator process manages message queues, schedules tasks, launches containerized agents, and stores state in SQLite. Additional functionality can be added through a modular skills system, allowing users to extend capabilities without increasing the complexity of the core codebase.

By combining a minimal architecture with container-based isolation and messaging integration, NanoClaw aims to provide a transparent, customizable personal AI agent that users can run and control entirely on their own infrastructure.