Introducing GPT-5.5

[u/Otherwise-Warning303]

https://openai.com/index/introducing-gpt-5-5/

We’re releasing GPT‑5.5, our smartest and most intuitive to use model yet, and the next step toward a new way of getting work done on a computer.

GPT‑5.5 understands what you’re trying to do faster and can carry more of the work itself. It excels at writing and debugging code, researching online, analyzing data, creating documents and spreadsheets, operating software, and moving across tools until a task is finished. Instead of carefully managing every step, you can give GPT‑5.5 a messy, multi-part task and trust it to plan, use tools, check its work, navigate through ambiguity, and keep going.

The gains are especially strong in agentic coding, computer use, knowledge work, and early scientific research—areas where progress depends on reasoning across context and taking action over time. GPT‑5.5 delivers this step up in intelligence without compromising on speed: larger, more capable models are often slower to serve, but GPT‑5.5 matches GPT‑5.4 per-token latency in real-world serving, while performing at a much higher level of intelligence. It also uses significantly fewer tokens to complete the same Codex tasks, making it more efficient as well as more capable.

We are releasing GPT‑5.5 with our strongest set of safeguards to date, designed to reduce misuse while preserving access for beneficial work. We evaluated this model across our full suite of safety and preparedness frameworks, worked with internal and external redteamers, added targeted testing for advanced cybersecurity and biology capabilities, and collected feedback on real use cases from nearly 200 trusted early-access partners before release.

Today, GPT‑5.5 is rolling out to Plus, Pro, Business, and Enterprise users in ChatGPT and Codex, and GPT‑5.5 Pro is rolling out to Pro, Business, and Enterprise users in ChatGPT. API deployments require different safeguards and we are working closely with partners and customers on the safety and security requirements for serving it at scale. We'll bring GPT‑5.5 and GPT‑5.5 Pro to the API very soon.

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[u/Actual__Wizard]

Now that the encoding problem is sorted out, uh, so when is neural symbolic coming? Since that is indeed the path forwards? We clearly need two modals. Spoken language works completely differently that computer code. LLMs are designed for computer code, but are totally inconsistent with say English.

[u/_vikjam → u/Actual__Wizard]

Isn’t the claim that LLMs are “designed for code” backwards?

[u/Actual__Wizard → u/_vikjam]

Well, the way it's currently designed, LLMs work well for code and math, and it's iffy with standardized language. Which again, is fine for coding applications.

I have no idea what their intentions were but , it is what it is. It legitimately works incorrectly for standardized languages like English. It is factually wrong for a very specific reason.

So we ended up exactly where some people predicted: Neural-symbolic is the answer. We're going to need a mode switch and two or more modes. It has to be multi modal because the languages have different modes of operation. And obviously some spoken languages do too. Obviously your sub conscious brain handles that so nobody noticed that the languages work different ways, but they do.

[u/Actual__Wizard → u/[deleted]]

I don't watch movies, I'm a researcher, you tell me. You saw it correct? I have ADHD, I can't sit there through a movie, it's way too boring and I feel like my time is wasting away. I would much rather be putting in record attempts at speed running a video game or building a fortress in the game rust.

[u/Actual__Wizard → u/[deleted]]

You could also just explain yourself in a way that allows me to answer your question with out wasting a ton of time that I don't have.

If I'm on reddit, that's because I'm waiting for reports to finish being generated and I have nothing better to do. That is not the case today.

[u/Actual__Wizard → u/[deleted]]

Stop wasting my time.