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.
15x faster generation, 128k context, now in research preview for ChatGPT Pro users. Codex-Spark is optimized for interactive work where latency matters as much as intelligence. You can collaborate with the model in real time, interrupting or redirecting it as it works, and rapidly iterate with near-instant responses. Because it’s tuned for speed, Codex-Spark keeps its default working style lightweight: it makes minimal, targeted edits and doesn’t automatically run tests unless you ask it to.
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)
An AI agent social network: When we asked about social networking ambitions beyond Sora, Simo went somewhere unexpected: What happens to social relationships in a world where everybody has their own personal agents? And how can these personal agents help you manage your social relationships in a better way? She framed it not as agents aimlessly talking to agents like Moltbook, but as AI mediating existing human relationships. We haven t cracked what that will look like, but I think that s a very interesting area.
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.
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
As Techcrunch mentioned... OpenAI will start testing targeted ads in ChatGPT for free, and $8/month Go users in the U.S., while higher-tier subscriptions remain ad-free.
Ads will appear at the bottom of conversations, can be dismissed, and won t influence ChatGPT s answers or involve selling user data. The move aims to generate revenue while keeping free access, and may also encourage some users to upgrade to paid tiers.
I ve been using Google s @NanoBanana image tools for a while now for quick visuals, edits, and the occasional cursed meme. They ve been good enough that I haven t really felt a big urge to switch.
But I m seeing a ton of buzz around @ChatGPT Images and how much better they are for real-world stuff like thumbnails, product shots, and UI mocks.
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.
Introducing the Codex app for macOS—a command center for AI coding and software development with multiple agents, parallel workflows, and long-running tasks.
The Codex app changes how software gets built and who can build it—from pairing with a single coding agent on targeted edits to supervising coordinated teams of agents across the full lifecycle of designing, building, shipping, and maintaining software.
