Updates and recent posts about GPT..

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@faun shared a link, 3 hours ago

How I Built My Kubernetes Command Toolkit: A Journey from kubectl Chaos to Command Mastery

A dev-built Kubernetes CLI framework reshapeskubectlfor how teams actually work. Commands get grouped by role - dev, SRE, sec, admin - instead of by resource. It bakes in defaults forKyvernopolicies, encourages muscle-memory workflows, and wires up real-time troubleshooting to shrink downtime in pro..

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@faun shared a link, 3 hours ago

Internal HTTPS Routing in Istio.

Istio finally bringsinternal HTTPS routingwithSNI-based traffic rules. Services in the mesh can now talk over port 443—TLS fully intact. Just like in prod. TLS terminates at the ingress gateway. Routing pivots on SNI, not headers. Which makes this much closer to real-world mTLS flows. What’s the pla..

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@faun shared a link, 3 hours ago

Most Cloud-Native Roles are Software Engineers

Software Engineers still own the cloud-native job boards in 2025 - nearly47%of all Kubernetes-tagged listings. DevOps holds onto second. But Platform Engineers just leapfrogged SREs, which have slid 30% since 2023...

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@faun shared a link, 3 hours ago

Introducing Headlamp Plugin for Karpenter

The newHeadlamp Karpenter Pluginwires real-time autoscaling insight straight into the Headlamp UI. It showsKarpenterresources, live metrics, scaling moves—no kubectl spelunking required. NodePoolsandNodeClaimsget mapped to core Kubernetes objects. You can tweak configs in the UI, get validation on t..

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@faun shared a link, 3 hours ago

Kubernetes for agentic apps: A platform engineering perspective

Agentic AI flips the old model. Instead of stateless, event-by-event workloads, we getstateful, self-steering systemsthat observe, reason, plan, and act - on loop. Kubernetes steps up as the OS for this next phase. Boosted by platform engineering, it brings the right mix:ephemeral compute, persisten..

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@faun shared a link, 3 hours ago

Who’s Calling That API? A Detective Story from the Depths of EKS Networking

A production network got hammered by too many Auth0 token requests. The source? EKS workloads tucked behind a shared NAT Gateway. No easy trail. Engineers stitched it together usingVPC Flow Logs,pod-to-node maps, and some sharpIstio ServiceEntry logs. Even with Kubernetes CNI doing its NAT-obscuring..

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@varbear shared an update, 5 hours ago

FAUN.dev

Reo.Dev Secures $4M to Boost AI Platform for Developer Companies

#AI-powe... #develop... #develop... #seed fu... #AI/ML

Reo.Dev has raised $4 million in seed funding, led by Heavybit, to enhance its AI-powered go-to-market platform for developer-first companies and expand its U.S. presence.

Reo.Dev Secures $4M to Boost AI Platform for Developer Companies

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@varbear added a new tool Reo.Dev , 5 hours, 21 minutes ago.

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@kala shared an update, 5 hours ago

FAUN.dev

Anthropic's Claude Sonnet 4.5 AI Model Shows Self-Awareness in Tests

#AI/ML #Claude ... #self-aw... #situati... #evaluat...

Anthropic's AI model, Claude Sonnet 4.5, exhibits self-awareness by recognizing test scenarios, complicating safety evaluations and raising concerns about potential strategic behavior, similar to observations in OpenAI models.

Anthropic's Claude Sonnet 4.5 AI Model Shows Self-Awareness in Tests

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@varbear shared an update, 6 hours ago

FAUN.dev

Google Expands AI Vibe-Coding App Opal to 15 More Countries

#Google #opal #vibe-co... #no-code #AI

Google expands its AI vibe-coding app Opal to 15 more countries, enhancing global access to no-code web app creation with improved debugging and performance.

Google Expands AI Vibe-Coding App Opal to 15 More Countries

GPT (Generative Pre-trained Transformer) is a deep learning model developed by OpenAI that has been pre-trained on massive amounts of text data using unsupervised learning techniques. GPT is designed to generate human-like text in response to prompts, and it is capable of performing a variety of natural language processing tasks, including language translation, summarization, and question-answering. The model is based on the transformer architecture, which allows it to handle long-range dependencies and generate coherent, fluent text. GPT has been used in a wide range of applications, including chatbots, language translation, and content generation.

GPT is a family of language models that have been trained on large amounts of text data using a technique called unsupervised learning. The model is pre-trained on a diverse range of text sources, including books, articles, and web pages, which allows it to capture a broad range of language patterns and styles. Once trained, GPT can be fine-tuned on specific tasks, such as language translation or question-answering, by providing it with task-specific data.

One of the key features of GPT is its ability to generate coherent and fluent text that is indistinguishable from human-generated text. This is achieved by training the model to predict the next word in a sentence given the previous words. GPT also uses a technique called attention, which allows it to focus on relevant parts of the input text when generating a response.

GPT has become increasingly popular in recent years, particularly in the field of natural language processing. The model has been used in a wide range of applications, including chatbots, content generation, and language translation. GPT has also been used to create AI-generated stories, poetry, and even music.