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Amazon is reportedly in talks to invest at least $10 billion in OpenAI. According to three people familiar with the discussions who spoke to The Information, the deal would push OpenAI's valuation past $500 billion. The influx of cash is intended to help OpenAI cover its massive server costs, including a recently agreed-upon $38 billion deal with Amazon Web Services (AWS). As part of the arrangement, OpenAI would commit to using Amazon's proprietary "Trainium" AI chips rather than relying solely on Nvidia hardware.

The companies are also discussing the possibility of turning ChatGPT into a shopping platform. However, Microsoft's exclusive rights to sell OpenAI models to cloud customers could limit Amazon's options here. Talks reportedly began in October following OpenAI's corporate restructuring but haven't concluded yet. OpenAI remains in urgent need of capital, as the company expects to burn through more than $100 billion over the next four years.

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OpenAI has updated its Realtime API with three new model snapshots designed to improve transcription, speech synthesis, and function calling. According to developers, the gpt-4o-mini-transcribe variant significantly reduces hallucinations. For text-to-speech tasks, gpt-4o-mini-tts cuts the word error rate by 35 percent. The gpt-realtime-mini model, which targets voice assistants, follows instructions 22 percent more accurately and improves function calling by 13 percent.

OpenAI also explicitly mentioned improvements for Chinese, Japanese, Indonesian, Hindi, Bengali, and Italian.

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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.

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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.

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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.

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