Updates and recent posts about GPT-5.4..

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@faun shared a link, 9 months, 2 weeks ago

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Building Self-Evolving Knowledge Graphs Using Agentic Systems

Graph databasesturn chaos into order usingnodes, edges, and properties. They race through data withindex-free traversal, unveiling complex relationships faster than you can say "data overload." Toss in someAI agents, and watch these databases become brainy creatures that evolve on their own, explori.. read more

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@faun shared a link, 9 months, 2 weeks ago

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Introducing FlexOlmo: a new paradigm for language model training and data collaboration

FlexOlmoempowers data owners to train models on their own turf, syncing up later to build a powerhouse shared model. Data stays secret, yet the model still crushes it, rivaling its all-data counterpart. And with differential privacy, it keeps snoops at bay, boasting a mere0.7%data extraction rate... read more

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@faun shared a link, 9 months, 2 weeks ago

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Linux Foundation Report Finds Organizations Embrace Upskilling and Open Source to Meet AI-driven Job Demands

AI is set to overhaul 94% of businesses, yet fewer than half possess the crucial AI chops. They scramble to bridge this gap withupskillingandopen-sourcecollaboration. Companies, always finding a loophole, claim upskilling outpaces hiring by 62%. Meanwhile, open source impressively bumps up retention.. read more

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@faun shared a link, 9 months, 2 weeks ago

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Implementing High-Performance LLM Serving on GKE: An Inference Gateway Walkthrough

Meet theGKE Inference Gateway—a swaggering rebel changing the way you deploy LLMs. It waves goodbye to basic load balancers, opting instead for AI-savvy routing. What does it do best? Turbocharge your throughput with nimbleKV Cachemanagement. Throw in someNVIDIA L4 GPUsand Google's model artistry, a.. read more

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@faun shared a link, 9 months, 2 weeks ago

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Using Ansible File Module to Manage Files & Directories

Ansible's file moduleshakes up file and directory management on remote systems, letting you tweak ownership and permissions like a pro. Unlike the copy module, it zeroes in solely on file attributes, keeping it idempotent and streamlining automation across your whole fleet... read more

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@faun shared a link, 9 months, 2 weeks ago

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Unpopular opinion: Kubernetes is a symptom, not a solution.

Kubernetesis not the miracle cure everyone claims. It's more like a bucket of complications, allegedly cramping cloud innovation just to wrangle unruly containers. Ditch theYAML circusand zero in on platforms likeWASIand fresh concepts likeUnison. These offer semantic, cross-language cloud deploymen.. read more

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@faun shared a link, 9 months, 2 weeks ago

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The 'Lift-and-Shift' Trap: Why Cloud Migrations Go Wrong

Lift-and-shiftplays like a hit song on the AM radio—it’s a decent tune, but lacks soul. Cloud-native? Now that's a rock concert, shaking the ground with power. Redefine apps, don't just shuffle the old stuff upstairs... read more

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@faun shared a link, 9 months, 2 weeks ago

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Bash Shell 5.3 Released with New Command Substitution

Bash 5.3chops fork overhead by running substitutions smack in the current shell. A godsend for those sweating tight loops and embedded systems. Plus, feast on the newGLOBORDERvariable—it hands you the reins for pathname sorting precision. And to sweeten the deal, Readline 8.3 sprinkles in case-insen.. read more

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@faun shared a link, 9 months, 2 weeks ago

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Introducing Cloud Storage bucket relocation

Google's Cloud Storage bucket relocationmakes data moves a breeze. Downtime? Forget about it. Your metadata and storage class stay intact, so you can focus on optimizing costs instead of stressing over logistics... read more

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@faun shared a link, 9 months, 2 weeks ago

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Monitor Nginx with OpenTelemetry Tracing

Wiring upNGINXwithOpenTelemetryshines a spotlight on your request paths. Logs, traces, metrics—no more fumbling in the dark. Dive into crystal-clear traces for every single request. Spot API or database slowdowns? Connect the dots in a snap. Thank theOpenTelemetry Collectorfor pulling strings like a.. 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.