OpenAI Archive

AI in practice

Dec 14, 2025Dec 14, 2025

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OpenAI wants to boost risk tolerance among its workforce. According to The Wall Street Journal, the company has scrapped a rule requiring new hires to stay for at least six months before their equity vests. The change aims to ease employee concerns about being laid off before receiving their first batch of shares. Previously, OpenAI had already shortened this waiting period from 12 months to six in April.

The move underscores the fierce competition for AI talent. Tech giants like Meta, Google, and Anthropic are courting top researchers with high compensation. OpenAI is set to spend around $6 billion on stock-based compensation this year, nearly half its projected revenue. These high personnel costs are putting additional pressure on margins in an increasingly competitive market.

WSJ

AI in practice

Dec 13, 2025Dec 13, 2025

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OpenAI appears to be adopting the skills system Anthropic introduced in October, according to a discovery by user Elias Judin shared on X. Support for these skills has surfaced in both the Codex CLI tool and ChatGPT.

Judin found directories named "pdfs" and "spreadsheets" containing "skill.md" files. These files provide specific instructions for processing documents and data. It's basically like your prompt calling a more specific prompt to solve a complex subtask necessary for the main goal—like extracting text from a PDF. Since it's just a folder containing a Markdown file and maybe scripts, it's easy to adapt.

A look at the "skill.md" file for PDF handling reveals specific instructions for reading and creating documents. | Image: Elias Judin via GitHub

The file structure suggests OpenAI is organizing AI tools into app-like modules designed for specific tasks. Judin, who found the feature while using a "5.2 pro" model, documented the findings on GitHub. Anthropic debuted this modular system in October to help its Claude assistant handle specialized tasks.

Github Judin via X

AI in practice

Dec 13, 2025Dec 13, 2025

Short

OpenAI claims its team built the Sora Android app in just 28 days by leveraging its code-generation AI, Codex. According to a report from OpenAI employees Patrick Hum and RJ Marsan, a small team of four engineers utilized an early version of the GPT-5.1 Codex model to build the application, processing around five billion tokens along the way.

According to the authors, the AI handled the bulk of the actual writing—specifically tasks like translating existing iOS code into Android-compatible formats. This allowed the human developers to focus on high-level architecture, planning, and verifying the results. The team described Codex as acting like a new, experienced colleague that just needed clear instructions to get the job done. Despite the rapid timeline, OpenAI reports the app is 99.9 percent stable. You can read a detailed breakdown of their process on the OpenAI blog.

OpenAI