Codex Pets are optional animated companions for Codex. They live in a floating overlay, show active thread status, reflect whether Codex is running, waiting, or ready for review, and can be customized through the hatch-pet skill.
GPT-5.5 is OpenAI’s most advanced model yet, designed to handle real-world work with greater autonomy, speed, and efficiency. It excels at coding, research, data analysis, and task execution — planning, using tools, and iterating with minimal guidance — making it a powerful partner for complex, multi-step workflows.
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.
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)
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.
What if every open issue had a Codex agent? That’s the idea behind Symphony, an open-source agent orchestrator for Codex that turns task trackers into always-on systems for agentic work, letting humans focus on review and direction.
Codex is evolving into an AI-powered work companion that goes beyond coding. It can operate your computer, interact with apps, generate images, connect with 90+ tools, and automate long-running tasks. With memory, context awareness, and background execution, it helps developers and teams manage workflows, iterate faster, and stay on top of work across the entire software lifecycle.
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.
TechCrunch shared an excerpt from a roughly 30-minute panel featuring Sam Altman, where he mentioned that within the next two years, they plan to introduce hardware built by their AI company.
It s supposed to be: "screenless" and pocket-sized offering a calmer experience than smartphones
avoiding constant notifications and attention overload
