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

Data Center Asia 2026 here we go!

🌏 Heading to 𝗗𝗮𝘁𝗮 𝗖𝗲𝗻𝘁𝗲𝗿 𝗔𝘀𝗶𝗮 𝗛𝗼𝗻𝗴 𝗞𝗼𝗻𝗴 𝟮𝟬𝟮𝟲? So are we! 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 is excited to be part of Data Center Asia Hong Kong, taking place July 8–9, 2026, where industry leaders will come together to explore the future of digital infrastructure, cloud computing, AI, cybersecurity, and next-generation data..

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@eon01 published a quiz, 11 hours ago
Founder, FAUN.dev

Kubernetes Deep Dive: QoS, Eviction, HPA, Probes, and Sidecars

An advanced 10-question quiz on Kubernetes internals and runtime behavior, aimed at practitioners who run clusters in production. It targets the subtle traps: QoS assignment rules, OOM-kill vs eviction, whether node-pressure eviction honors PodDisruptionBudgets, the exact HPA scaling formula and …

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Kubernetes Deep Dive: QoS, Eviction, HPA, Probes, and Sidecars
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@eon01 published a quiz, 11 hours ago
Founder, FAUN.dev

Git Fundamentals: Commits, Branches, Merge, and Rebase

A 10-question quiz on how Git actually works under the hood, escalating from easy to hard. It covers what a commit really stores, branches as pointers, fast-forward vs merge commits, what rebase does to your history, the golden rule of …

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Git Fundamentals: Commits, Branches, Merge, and Rebase
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@eon01 published a quiz, 11 hours ago
Founder, FAUN.dev

SRE Fundamentals: SLOs, Error Budgets, and Reliability Practice

A 10-question quiz on core Site Reliability Engineering concepts, escalating from easy to hard. It covers the SLI/SLO/SLA distinction, error budgets, the four golden signals, toil, blameless postmortems, and availability math (the "nines").

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SRE Fundamentals: SLOs, Error Budgets, and Reliability Practice
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@eon01 published a quiz, 11 hours ago
Founder, FAUN.dev

Neural Network Fundamentals: From Activations to Gradients

A 10-question quiz on the core mechanics of neural networks, escalating from easy to hard. You will cover activation functions (ReLU, sigmoid, softmax), backpropagation, dropout, the vanishing gradient problem, and training vocabulary like epochs and iterations. Aimed at learners with …

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Neural Network Fundamentals: From Activations to Gradients
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@kala shared a link, 12 hours ago
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Introducing Claude Sonnet 5

Anthropic launched Claude Sonnet 5, its most agentic Sonnet model, and set it as the default for Free and Pro users... read more  

Introducing Claude Sonnet 5
OpenAI is an independent artificial intelligence research organization that was founded in 2015 with the goal of promoting the development and safe use of advanced AI technologies. The organization's research focuses on a wide range of AI applications, including natural language processing, computer vision, and robotics. OpenAI's research is driven by a team of world-class researchers and engineers who work to develop cutting-edge AI technologies that are both powerful and safe.

One of the key goals of OpenAI is to promote responsible AI development. To this end, the organization works closely with policymakers, industry leaders, and other stakeholders to ensure that AI is developed in a way that is ethical and beneficial for society. OpenAI also provides resources and training to help people better understand AI and its potential impacts.

OpenAI's research has led to numerous breakthroughs in the field of AI, including the development of advanced language models like GPT-3, which can generate coherent and human-like text. The organization has also developed AI technologies that are used in a variety of applications, from self-driving cars to medical diagnostics.

Overall, OpenAI is at the forefront of AI research and development, and is working to ensure that AI is developed in a way that benefits everyone.