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@laura_garcia shared a post, 2 weeks, 2 days ago
Software Developer, RELIANOID

We’re heading to Big Data & AI World 2026

We’re heading to Big Data & AI World 2026 📍 4–5 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..

big_data_ai_world_london_2026_relianoid
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@yelbur started using tool Python , 2 weeks, 3 days ago.
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@yelbur started using tool Node.js , 2 weeks, 3 days ago.
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@yelbur started using tool Go , 2 weeks, 3 days ago.
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@yelbur started using tool Fedora , 2 weeks, 3 days ago.
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@yelbur started using tool Docker , 2 weeks, 3 days ago.
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@yelbur started using tool BigQuery , 2 weeks, 3 days ago.
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@kala shared a link, 2 weeks, 4 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  

Realtime Prompting Guide
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@kala shared a link, 2 weeks, 4 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  

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@kala shared a link, 2 weeks, 4 days ago
FAUN.dev()

Do you need an MCP to build your native app?

Do you need an MCP to build your native app? Surprisingly, modern agents succeed either way. The real difference is how much time, cost, and context you waste along the way... read more  

Do you need an MCP to build your native app?
TruffleHog is a high-accuracy secret-detection tool designed to uncover exposed credentials such as API keys, tokens, private keys, and cloud secrets across large codebases. Originally created to scan Git commit history, it has evolved into a multi-source scanning engine capable of analyzing GitHub, GitLab, Bitbucket, Docker images, file systems, Terraform states, and cloud environments.

The scanner combines entropy detection, an extensive library of regular expression detectors, and live credential validation to minimize false positives. TruffleHog is widely used in security research, supply chain security, DevSecOps workflows, and bug bounty programs. Its speed, accuracy, and broad ecosystem coverage make it a core tool for identifying and preventing credential leakage in modern software development.