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.
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.
Health in ChatGPT helps you better understand and navigate your health by bringing your health information into one conversation. Connect your health data, medical records, and wellness apps to get more personalized insights, track changes over time, prepare for appointments, understand results, and build healthier routines — all while staying in control of what you share.
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)
Codex Micro is a compact keyboard built with Work Louder to control your Codex agents. It features physical keys for common skills, a dial to adjust reasoning levels, and live RGB status lights so you can track agent progress without switching windows.
GPT-5.6 is rolling out in the API!
Our new family of models gives builders three options: Sol (our flagship model for the hardest agentic tasks), Terra (balanced for everyday workflows), and Luna (fast and cost-efficient). GPT-5.6 also introduces Programmatic Tool Calling, Multi-agent (beta) for parallel execution, and explicit prompt caching.
On July 23, we're teaming up with Product Hunt for OpenAI Day. The top five launches will each receive $10K in API credits.
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.
