Join us

ContentUpdates and recent posts about GPT-5.4..
Link
@kaptain shared a link, 2 months, 3 weeks ago
FAUN.dev()

v1.35: Job Managed By Goes GA

In Kubernetes v1.35,spec.jobControllerManagedByhits GA. That means full handoff of Job reconciliation to external controllers is now official. It unlocks tricks likeMultiKueue, where a single management cluster fires off Jobs to multiple worker clusters, without losing sight of what’s running where... read more  

Link
@kaptain shared a link, 2 months, 3 weeks ago
FAUN.dev()

Troubleshooting Cilium network policies: Four common pitfalls

Cilium’s Day 2 playbook covers the real work: dialing inL7 policy controls, tuningHubble observability, and wringing performance fromBPF. It's how you keep big Kubernetes clusters sane. The focus?Multi-tenant isolation,node-to-node encryption, and scaling cleanly withexternal etcdso the network does.. read more  

Link
@kaptain shared a link, 2 months, 3 weeks ago
FAUN.dev()

93% Faster Next.js in (your) Kubernetes

Next.js brings advanced capabilities to developers out-of-the-box, but scaling it in your own environment can be challenging due to uneven load distribution and high latency. Watt addresses these issues by leveragingSO_REUSEPORTin the Linux kernel, resulting in significantly improved performance met.. read more  

Link
@kaptain shared a link, 2 months, 3 weeks ago
FAUN.dev()

1.35: In-Place Pod Resize Graduates to Stable

In-Place Pod Resizehits GA in Kubernetes 1.35. You can now tweak CPU and memory on live pods without restarts. This is finally production-ready! What’s new since beta? It now handlesmemory limit decreases, doesprioritized resizes, and gives you betterobservabilitywith fresh Kubelet metrics and Pod e.. read more  

Link
@kaptain shared a link, 2 months, 3 weeks ago
FAUN.dev()

Avoiding Zombie Cluster Members When Upgrading to etcd v3.6

etcd v3.5.26 patches a nasty upgrade bug. It now syncsv3storefromv2storeto stop zombie nodes from corrupting clusters during the jump to v3.6. The core issue: Older versions let stale store states bring removed members back from the dead... read more  

Link
@kaptain shared a link, 2 months, 3 weeks ago
FAUN.dev()

Kubernetes OptimizationInPlace Pod Resizing,ZoneAware Routin

Halodoc cut EC2 costs and shaved latency by leaning into two Kubernetes tricks: In-place pod resizing(v1.33) lets them dial pod resources up or down on the fly, especially handy during off-peak hours. Zone-aware routingviatopology-aware hintskeeps inter-service traffic close to home (same AZ), skipp.. read more  

Kubernetes OptimizationInPlace Pod Resizing,ZoneAware Routin
Link
@kala shared a link, 2 months, 3 weeks ago
FAUN.dev()

Chinese AI in 2025, Wrapped

Chinese AI milestones in 2025: Big models from DeepSeek and others, AGI discussions at Alibaba, US-China chip war swings, Beijing's AI Action plan, and more. DeepSeek led the way with an open-source model, setting off a wave of Chinese companies going open-source. China's push for AGI and involvemen.. read more  

Link
@kala shared a link, 2 months, 3 weeks ago
FAUN.dev()

Review of Deep Seek OCR

DeepSeek-OCRflips the OCR script. Instead of feeding full image tokens to the decoder, it leans on an encoder to compress them up front, trimming down input size and GPU strain in one move. That context diet? It opens the door for way bigger windows in LLMs. Why it matters:Shoving compression earlie.. read more  

Link
@kala shared a link, 2 months, 3 weeks ago
FAUN.dev()

Evaluating AI Agents in Security Operations

Cotool threw frontier LLMs at real-world SecOps tasks using Splunk’s BOTSv3 dataset.GPT-5topped the chart in accuracy (62.7%) and gave the best results per dollar.Claude Haiku-4.5blazed through tasks fastest, just 240 seconds on average, maxing out tool integrations.Gemini-2.5-proflopped on both acc.. read more  

Evaluating AI Agents in Security Operations
Link
@kala shared a link, 2 months, 3 weeks ago
FAUN.dev()

Everything to know about Google Gemini’s most recent AI updates

Google jammed a full no-code AI workshop into Gemini. The browser now bakes inOpal, a drag-and-drop app builder with a shiny newvisual editor. You can chain prompts, preview apps, and feed it text, voice, or images, without touching code. They also dropped theGemini 3 Flash model, built for dual rea.. read more  

GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.