Updates and recent posts about GPT-5.4..

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@faun shared a link, 1 year, 1 month ago

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Exploring Google’s Agent Development Kit (ADK)

Google's Agent Development Kit(ADK) cranks up agent creation with LLMs. It dishes out unique agent types, slick orchestration patterns, and a debugging process that's anything but flimsy. Thanks toADK's open-source framework, you can engineer intricate systems that thrive on transparency and auditab.. read more

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@faun shared a link, 1 year, 1 month ago

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HUMAIN and NVIDIA Announce Strategic Partnership to Build AI Factories of the Future in Saudi Arabia

HUMAINjust inked a deal withNVIDIAto spark AI factories in Saudi Arabia, cranking up to500 megawattsvia a colossal sea of GPUs. Picture18,000 NVIDIA GB300 Grace BlackwellAI supercomputers flexing their muscles, crafting massive sovereign AI models. Saudi's digital metamorphosis and Industry 4.0 ambi.. read more

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@faun shared a link, 1 year, 1 month ago

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Has AI exceeded human levels of intelligence? The answer is more complicated than you might think

AGI aims for true, independent consciousness and comprehension beyond imitation. Experts predict arrival by 2059, but Ray Kurzweil thinks it's closer by 2029... read more

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@faun shared a link, 1 year, 1 month ago

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The illusion of conscious AI

Anthropic's Kyle Fishtosses around a bold 15% chance that chatbots might be conscious. Meanwhile,neuroscientistsraise an eyebrow and point out our shaky grasp of how intelligence relates to consciousness... read more

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@faun shared a link, 1 year, 1 month ago

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Identifying Hidden Cloud Waste in Your Code

Vadim Soloveyblows the whistle on our love affair with so-called "efficient" code. It's smoke and mirrors, he insists. Behind the illusion lurk costly inefficiencies. Solovey demands we shift focus—ditch those endless cloud tweaks for something deeper:code-level fixes. Enter execution profiling and .. read more

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AI in Incident Management: Balancing Automation & Expertise

AI-driven incident management holds great promise, but what happens when AI fails? Engineers risk losing critical system understanding as AI takes over routine tasks, highlighting the need for human oversight and collaboration in this AI-enhanced future... read more

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@faun shared a link, 1 year, 1 month ago

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How we optimized LLM use for cost, quality, and safety to facilitate writing postmortems

Postmortem Optimization:Slashing LLM costs while preserving quality and safety. Who said AI can’t spruce up even the most mind-numbing tasks?.. read more

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@faun shared a link, 1 year, 1 month ago

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Tales from the cloud trenches: The Attacker doth persist too much, methinks

Hackers snagged some leaked AWS keys and conjured up a "persistence-as-a-service" scheme. They weaved through API Gateways and Lambda like ghostly threads. Dodging revocation? Easy. They whipped up dynamic IAM users faster than you can say "security breach." Telegram buzzed with ConsoleLogin events—.. read more

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OpenAI to help UAE develop one of world's biggest data centers

OpenAI plans to help develop amassivenew data center in the United Arab Emirates that may eventually be one of the largest in the world, Bloomberg News reported on Friday. The ChatGPT maker is expected to be one of the primary anchor tenants for a5-gigawattdata center campus in Abu Dhabi, the report.. read more

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@faun shared a link, 1 year, 1 month ago

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Zero-Touch Bare Metal at Scale

Mapping hardware to Linux device names? Chaos. EnterSystemD: its magic cleans up the network interface mess. Storage naming, though? Serial numbers rule the roost. With the sharp combo ofRedfish HTTP APIandPixiecore, they revamped server setup. Price tag? A jaw-droppingunder $1 for 50 servers. Thank.. 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.