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Aug 15, 2025 1 tweets 1 min read Read on X
We’re making GPT-5 warmer and friendlier based on feedback that it felt too formal before. Changes are subtle, but ChatGPT should feel more approachable now.

You'll notice small, genuine touches like “Good question” or “Great start,” not flattery. Internal tests show no rise in sycophancy compared to the previous GPT-5 personality.

Changes may take up to a day to roll out, more updates soon.

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More from @OpenAI

Apr 22
Introducing workspace agents in ChatGPT—shared agents that can handle complex tasks and long-running workflows across tools and teams.
Agents are built to help with the kind of work that takes time, context, and follow-through: coordinating across tools, tracking progress, and moving tasks forward without needing constant supervision.

openai.com/index/introduc…
Build an agent once, then share it across teams.

Describe the job, and ChatGPT helps turn it into a working agent that can use your team’s best practices.

Use agents for tasks like qualifying leads, routing feedback, reviewing requests, pulling reports, or researching vendors. Image
Read 5 tweets
Apr 21
Introducing ChatGPT Images 2.0

A state-of-the-art image model that can take on complex visual tasks and produce precise, immediately usable visuals, with sharper editing, richer layouts, and thinking-level intelligence.

Video made with ChatGPT Images
ChatGPT Images 2.0 is a step change in detailed instruction following, placing and relating objects accurately, and rendering dense text, with the ability to generate across aspect ratios.

It’s also accurate across languages and uses its expanded visual and world knowledge to fill in the gaps for you, so you get smarter images with less prompting.

openai.com/index/introduc…
Greater Precision and Control

ChatGPT Images 2.0 can conceptualize more sophisticated images, and then actually bring that vision to life effectively.

It’s able to follow instructions, preserve requested details, and render the fine-grained elements that often break image models: small text, iconography, UI elements, dense compositions, and subtle stylistic constraints, all at up to 2K resolution.

Zoom in on the rice…Image
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Read 9 tweets
Apr 16
Codex for (almost) everything.

It can now use apps on your Mac, connect to more of your tools, create images, learn from previous actions, remember how you like to work, and take on ongoing and repeatable tasks.
With computer use on macOS, Codex can now use any app by seeing, clicking, and typing with its own cursor.

It runs in the background without taking over your computer, working on tasks like frontend iteration, app testing, or any workflow that doesn't expose an API.
You can now generate and iterate on images with gpt-image-1.5 in Codex to create frontend designs, mockups, game assets, and more without leaving your workflow.

Usage is included with your ChatGPT account, no API key needed.
Read 6 tweets
Feb 13
GPT-5.2 derived a new result in theoretical physics.

We’re releasing the result in a preprint with researchers from @the_IAS, @VanderbiltU, @Cambridge_Uni, and @Harvard. It shows that a gluon interaction many physicists expected would not occur can arise under specific conditions.

openai.com/index/new-resu…
Gluons carry the strong nuclear force, which is the force that binds quarks together inside protons and neutrons.

Without the strong force, atomic nuclei would not exist.

It is one of the four fundamental forces of nature and a core part of the Standard Model of particle physics.
For decades, one specific gluon interaction (“single-minus” at tree level) was widely treated as having zero amplitude, meaning it was assumed not to occur.

When an amplitude is zero, physicists may ignore it. But this preprint shows that the conclusion is too strong: in a carefully defined situation — where the particles’ motions satisfy a specific alignment condition — the amplitude is not zero.
Read 6 tweets
Feb 5
We worked with @Ginkgo to connect GPT-5 to an autonomous lab, so it could propose experiments, run them at scale, learn from the results, and decide what to try next. That closed loop brought protein production cost down by 40%.
GPT-5 was connected to an autonomous lab: it designed experiments, the lab executed them, and the results informed the next designs across six iterations.

In this setup, GPT-5 designed batches of experiments, the lab executed them, and the data fed back into the next round. We repeated that cycle six times, exploring 36,000+ reaction compositions across 580 automated plates.Image
We found that the improvements came from identifying combinations that work well together and that hold up in the realities of high-throughput automation.

GPT-5 identified low-cost reaction compositions that humans had not previously tested in this configuration. Cell-free protein synthesis (CFPS) has been studied for years, but the space of possible mixtures is still large. When you can propose and execute thousands of combinations quickly, you can find workable regions that are easy to miss with a manual workflow.
Read 4 tweets
Jan 27
Introducing Prism, a free workspace for scientists to write and collaborate on research, powered by GPT-5.2.

Available today to anyone with a ChatGPT personal account: prism.openai.com
Prism offers unlimited projects and collaborators in a single, cloud-based, LaTeX-native workspace.

GPT-5.2 works inside your project with access to paper structure, equations, references, and surrounding context—right where the work happens. Image
Prism removes version conflicts and setup overhead—making powerful scientific tools easier to adopt and more accessible to researchers everywhere.

openai.com/prism
Read 4 tweets

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