AWS Lambda Gets Python 3.14: Faster, Smarter, and More Serverless-Friendly
Python 3.14 is now available in AWS Lambda, enabling developers to leverage new Python features for serverless applications.
Updates and recent posts about GPT..
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@kaptain shared an update, 2 months, 1 week ago
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The Most Absurd (and Brilliant) Kubernetes Cluster at KubeCon 2025
Engineer Justin Garrison showcased a backpack-sized PETAFLOP Kubernetes cluster at KubeCon 2025, demonstrating localized AI capabilities without cloud reliance.
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@kaptain added a new tool Talos Linux , 2 months, 1 week ago.
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@kaptain shared an update, 2 months, 1 week ago
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Google Breaks Kubernetes Limits Again: Inside the 130,000-Node GKE Cluster
Google successfully operates a 130,000-node Kubernetes cluster to enhance GKE's scalability for AI workloads.
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@devopslinks shared an update, 2 months, 1 week ago
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Inside Cloudflare's Worst Outage Since 2019: How a Single Config File Broke the Internet
A database permissions change led to a Cloudflare outage by creating an oversized feature file, causing network failures initially mistaken for a DDoS attack.
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@devopslinks shared an update, 2 months, 1 week ago
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Valkey 9.0 Released: Faster Clusters, New TTL Controls, and Big Networking Gains
Valkey 9.0 debuts with atomic slot migrations, hash field expiration, and improved cluster mode support, enhancing data management and scalability.
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@devopslinks added a new tool Valkey , 2 months, 1 week ago.
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@devopslinks shared an update, 2 months, 1 week ago
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Grafana 12.3 Lands With New Learning Tools, Better Logs, and a Critical Security Fix
Grafana 12.3 enhances user experience with interactive learning, improved logs visualization, and a critical security fix, alongside new features like dashboard image export and expanded data source support.
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@kala shared an update, 2 months, 1 week ago
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Google Unveils Antigravity: An Agentic IDE Built for Autonomous Coding
Google introduces Antigravity, an AI-driven platform enhancing IDEs with autonomous coding capabilities, now in public preview.
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.
