Updates and recent posts about GPT-5.4..

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@faun shared a link, 9 months, 3 weeks ago

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The LLM-for-software Yo-yo

LLMshave evolved from playful diversions to indispensable coding companions. Yet, a study suggests they sometimeshinderdevelopers. Digging deeper into the nuances of context and repetition could reveal the truth lurking within these claims... read more

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@faun shared a link, 9 months, 3 weeks ago

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Chat with your documents tool — RAG (vector DBs + cosine sim.) & Claude API implementation

RAGdominates legal circles by embedding private briefs intoFAISS. Imagine zero hallucinations. Plus, it keeps pristine audit trails and trims costs like a pro. Handles up to1 TBof data, responding in a blink. It's got the brains ofTri-lingual MiniLMand the agility of a quantizedcross-encoder. All wi.. read more

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@faun shared a link, 9 months, 3 weeks ago

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We’re Light-Years Away from True Artificial Intelligence, Says Murderbot Author Martha Wells

Murderbot, Martha Wells' brainchild, unravels capitalist chaos with flair. Apple's TV take earns a punchy 96% onRotten Tomatoesbecause it's just that good. Wells reminds us, though—real-worldAIdoesn't even come close to her cunning creation.ChatGPT? It's just a data matchmaker, no sentience here. He.. read more

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@faun shared a link, 9 months, 3 weeks ago

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AI Can’t Even Fix a Simple Bug — But Sure, Let’s Fire Engineers

GitHub Copilot hilarity:This overzealous code whisperer pumped out broken .NET code like a kid armed with a fire hose. Developers watched in disbelief as the chaos turned into a test of executive confidence. Meanwhile, AI's becoming the scapegoat for layoffs. Truth is, some companies played musical .. read more

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@faun shared a link, 9 months, 3 weeks ago

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Introducing Deep Research in Azure AI Foundry Agent Service

Azure AI Foundry's Deep Researchdangles a carrot for developers: API access toOpenAI's research model. Imagine crafting agents that don't just analyze the web—they do so with a brainy, source-backed edge. Models likeGPT-4o and GPT-4.1sharpen task focusing, with a bit of grounding fromBing Search, de.. read more

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@faun shared a link, 9 months, 3 weeks ago

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How I build software quickly

Spike it, then polish it:Jump into rough draft coding. Discover those hidden gems. Avoid crafting convoluted code castles.Beware distractions:Use timers and programming partners like life rafts in a code swamp... read more

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@faun shared a link, 9 months, 3 weeks ago

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Data center costs surge up to 18% as enterprises face two-year capacity drought

Data center prices are through the roof, particularly in spots likeNorthern Virginia and Amsterdam. Vacancies languish at a scant1.9%. Blame it on AI's ravenous demand. Hyperscalers and AI outfits are feasting on capacity, crafting an "artificial scarcity" that echoes the real estate scene. Some fol.. read more

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@faun shared a link, 9 months, 3 weeks ago

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Inside Netflix’s Title Launch Observability System: Validating Title Availability at Global Scale

Netflix's Title Launch Observabilityshifts focus from just keeping systems ticking over to actually catching the stuff that viewers care about. It sniffs out those pesky glitches before anything hits the screen. A nifty "time travel" feature allows engineers to peek into the future UI, playing time .. read more

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Driving Content Delivery Efficiency Through Classifying Cache Misses

Netflix’sOpen Connectprogram rewires the streaming game. EnterOpen Connect Appliances (OCAs): these local units demolish latency, curbcache misses, and pump up streaming power. How? By magnetizing servers withnetwork proximitywizardry. Meanwhile,Kafkarolls up its sleeves, juggling low-latency logs l.. read more

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@faun shared a link, 9 months, 3 weeks ago

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NGINX Basics

NGINXisn't just a web server; it's the lean, mean, speed machine you've always wanted. But, frankly, it's best understood by diving in and getting your hands dirty. Break stuff. Fix stuff. Repeat. That's how you hit pro status... 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.