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ContentUpdates and recent posts about GPT-5.4..
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@vlebo added a new tool ctx_ , 3 weeks, 4 days ago.
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@laura_garcia shared a post, 3 weeks, 5 days ago
Software Developer, RELIANOID

𝗨𝗞 𝗣𝗦𝗧𝗜 𝗔𝗰𝘁: 𝗔 𝗡𝗲𝘄 𝗘𝗿𝗮 𝗳𝗼𝗿 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝗗𝗲𝘃𝗶𝗰𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆

🔐 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗨𝗞 𝗣𝗦𝗧𝗜 𝗔𝗰𝘁: 𝗔 𝗡𝗲𝘄 𝗘𝗿𝗮 𝗳𝗼𝗿 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝗗𝗲𝘃𝗶𝗰𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 The UK is raising the bar on cybersecurity with the Product Security and Telecommunications Infrastructure (PSTI) Act, now in force since April 2024. As cyber threats continue to grow, this regulation introduces a baseline for ..

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@omarabid added a new tool Code Input , 3 weeks, 6 days ago.
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@hitechdigital created an organization HitechDigital Solutions , 4 weeks ago.
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@varbear shared a link, 4 weeks ago
FAUN.dev()

What if I stored data in my mouse

The author experimented with storing data in a Logitech mouse's flash memory. Logitech mice communicate through HID++, a protocol that maps device features using stable IDs. Despite efforts to write data to certain registers, only the DPI register could retain data across power cycles... read more  

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@varbear shared a link, 4 weeks ago
FAUN.dev()

Introduction to PostgreSQL Indexes

This post is for developers that have an intuitive knowledge of what database indexes are, but don’t necessarily know how they work internally, what are the tradeoffs associated with indexes, what are the types of indexes provided by postgres and how you can use some of its more advanced options to .. read more  

Introduction to PostgreSQL Indexes
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@varbear shared a link, 4 weeks ago
FAUN.dev()

Bad Analogies: Not Every Money-Burning Company is Amazon

The essay discusses the misconceptions around companies that burn a lot of money, drawing comparisons to Amazon's successful strategy. It delves into examples like Uber and WeWork to highlight the importance of understanding the long-term implications of cash burn. The focus is on the strategies and.. read more  

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@varbear shared a link, 4 weeks ago
FAUN.dev()

The Beginning of Programming as We’ll Know It

In the wake of AI coding assistants like Claude and Codex, many wonder if the human role of "computer programmer" is ending. Although AI shows promise, human developers are valuable in the current transitional period. Real programmers are uniquely positioned to harness AI's power while augmenting it.. read more  

The Beginning of Programming as We’ll Know It
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@varbear shared a link, 4 weeks ago
FAUN.dev()

How Microsoft Vaporized a Trillion Dollars

A former Azure Core engineer recounts arriving on his first day to find a 122-person org seriously planning to port Windows-based VM management agents - 173 of them, which nobody could fully explain - onto a tiny, low-power ARM chip running Linux. The stack was already failing to scale on server-gra.. read more  

How Microsoft Vaporized a Trillion Dollars
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@kaptain shared a link, 4 weeks ago
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Sandboxes: Run Agents in YOLO Mode, Safely

Over a quarterof production code is now AI-authored, with agents boosting pull requests by 60% when allowed to run autonomously in YOLO mode. Docker Sandboxes provide a safe boundary for agents, enabling fully autonomous operation without risking your machine or data... read more  

Sandboxes: Run Agents in YOLO Mode, Safely
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.