GPT-6 Astra is OpenAI's most capable model for complex reasoning, software engineering, computer use, science, and professional work. Async tool calling and mid-turn steering help it run multistep agent workflows. API: model id gpt-6-astra, $10/$50 per 1M tokens (short context). Rolling out first via Trusted Access/Daybreak, then Plus, Pro, Business, Enterprise, and the API in the coming days. First OpenAI model at the Critical cybersecurity capability threshold (advanced cyber access limited).
I often hear that LinkedIn is starting to be cringe, becoming a second Facebook, but let s be honest: it s still a career platform. A little cringe, but it still is.
On the other hand, Sam Altman introduced a new ambition OpenAI Jobs Platform an AI-powered hiring platform, expected to launch by mid-2026.
OpenAI Codex is a new machine learning tool that translates your text in the English language into code. Codex is designed to speed up the work of professional programmers, as well as help amateurs get started coding.
OpenAI expands the GPT-6 family with Sol and Luna with faster, cheaper models trained like Astra. 50% lower API pricing, near-Astra factuality/coding/computer use gains, better prompt caching (90% off cached reads), and alignment improvements. Live in ChatGPT Work, Codex, and via API.
Today, I read in the news that OpenAI is considering "expanding its data footprint" and possibly buying Pinterest, as there is a lot of data on it just for the sake of users finding inspiration (which can be key for purchase decision making and understanding personas Pinterest has 600M+ users).
I also take into account how Pinterest started to resent the proliferation of AI content there users do not like it so much (as far as I know, OpenAI also wants to have its own social network, and Sora curation is a bit reminiscent of that)
Lately, I have been experimenting with how to feed context into GPT models more effectively.
For example, when fine-tuning or working with larger context windows, I have noticed that the dilemma is in organizing the surrounding information, rather than the prompt itself. Last week, I came to know that it's called Context Engineering.
ChatGPT Images 2.5 is OpenAI's next-generation image model built for sharper details, faster generation, and more precise editing. It helps you turn sketches, prompts, and reference photos into polished visuals with better consistency, natural lighting, richer textures, and stronger control across every edit.
