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@laura_garcia shared a post, 18 hours ago
Software Developer, RELIANOID

📍 RELIANOID at Bett UK 2026

We’re excited to take part in Bett UK 2026, the world’s leading EdTech event, bringing together educators, innovators, and decision-makers shaping the future of education. 🗓 January 21–23, 2026 📍 London, United Kingdom Join us to discover how RELIANOID enables secure, scalable, and highly available ..

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@nagarjun-avala started using tool Kubernetes , 1 day, 5 hours ago.
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@nagarjun-avala started using tool GitHub Actions , 1 day, 5 hours ago.
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@nagarjun-avala started using tool Docker , 1 day, 5 hours ago.
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@laura_garcia shared a post, 1 day, 18 hours ago
Software Developer, RELIANOID

🚀 If you’re building AI systems, reliability is no longer optional

Many teams are rushing to adopt AI, but few are asking the most critical question: 👉 What happens when AI fails? Back in December, we published an article that remains more relevant than ever: AI is redefining Site Reliability Engineering (SRE). Why? Because AI inference workloads introduce new reli..

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@aleonrangel gave 🐾 to Difference between Agile and Scrum , 2 days, 10 hours ago.
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@aleonrangel gave 🐾 to Difference between Agile and Scrum , 2 days, 10 hours ago.
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@laura_garcia shared a post, 2 days, 20 hours ago
Software Developer, RELIANOID

🔐 Reminder: Azure MFA Enforcement Is Now in Place

Some time ago, Microsoft announced and enforced mandatory multifactor authentication (MFA) for all Azure tenants performing resource management actions. 👉 This marked a clear turning point: MFA is no longer optional — it’s a requirement. At RELIANOID, we shared how this change reinforces the need to..

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@varbear shared a link, 2 days, 20 hours ago
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Don't fall into the anti-AI hype

The writer recently left their job to explore AI and programming through various projects, including creating a YouTube channel focused on these topics. They discuss how AI is changing the landscape of programming, allowing for faster, more efficient coding methods. Despite concerns about job displa.. read more  

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@varbear shared a link, 2 days, 22 hours ago
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How to build internal developer tools with a small team

A fresh way to think about internal dev tooling: three axes,width(new features),depth(polish and stability), andpreparation(future-ready architecture). Instead of treating tradeoffs as binary, the model maps them as vectors in a shared space. Less tug-of-war. More informed roadmap moves... read more  

How to build internal developer tools with a small team
INTELLECT-3 is a frontier-class 100B+ Mixture-of-Experts language model developed by Prime Intellect and trained end-to-end using their large-scale asynchronous RL framework, PRIME-RL. Built on the GLM-4.5-Air base model, INTELLECT-3 combines supervised fine-tuning with long-horizon reinforcement learning across hundreds of verifier-backed environments spanning math, code, science, logic, and agentic tasks.

The model was trained on a high-performance cluster of 512 NVIDIA H200 GPUs across 64 nodes, supported by Prime Intellect’s Sandboxes execution engine, deterministic compute orchestration, and Lustre-backed distributed storage. The result is a model that surpasses many larger systems in reasoning benchmarks while remaining fully open-source.

Prime Intellect released not only the model weights but also the full training recipe: PRIME-RL, Verifiers, the Environments Hub, datasets, and evaluation suites. INTELLECT-3 is positioned as a foundation for organizations seeking to post-train or customize their own frontier-grade models without relying on proprietary AI labs.