Chapter 1: What new features does ChatGPT 5.4 introduce?
OpenAI has just rolled out ChatGPT 5.4. There's actually a couple of cool features in here that I'm really excited about that I've been wishing ChatGPT has been able to do in the past. And they finally launched it. And of course, if you look at all of their marketing, it's going to just basically be them saying this is our most capable model yet. And of course, it's the most capable model.
If it wasn't, I mean, what would they even be making an update for? So I'm just going to get past all of the hype and all of the buzz from what they said in their launch. And I'm going to tell you some really interesting use cases and some ways that I actually think this is useful. GPT 5.4.
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Chapter 2: How does ChatGPT 5.4 enhance professional capabilities?
So the There's a ton of cool stuff going on, but go check out AIbox.ai if you want to get access to all of the top models for only $8.99 a month. And it's 20% off if you get an annual plan as well. So there's a lot of cool stuff there. All right, let's get into what's going on. The first thing I want to mention here is that this is called GPT-5.4 Thinking.
They have a higher performance variant that is known as GPT-5.4 Pro. But both of these together are designed to kind of handle everything from some complex analysis. They do a lot of coding, a lot of long running workflows across a lot of different professional software tools. And they're kind of dubbing this as like their professional work tool.
They're trying to get into, you know, into the hands of more working professionals. And this is coming right on the backs of them signing a whole bunch of deals with a bunch of different consulting firms that are going to allegedly get ChatGPT into more businesses and in kind of the professional environment.
And at the same time, they're having kind of this, you know, they're locked in a battle with even Google's in this right now, but really with Anthropic for Anthropic's Cloud Code, their Codex tool. They're really trying to push forward in kind of how software is using AI models and how computer use is going on. So this is where they're really focusing.
One of the most, one of the biggest changes basically about this is the scale. So in the API, GPT 5.4 has a context window of up to a million tokens, which basically lets them work with huge documents, really big conversations, big data sets.
And really, I mean, if you think about this, a huge benefit is going to be coding where you can look at bigger code, you know, code bases to actually work with. So this was something that Anthropic was really crushing at and then OpenAI is trying to get into this.
OpenA also says that their model is specifically more what they're saying is token efficient, which I this is actually one thing that I'm excited about. Basically can solve the same problems using a lot less tokens and GPT 5.2. So your costs are going to come down. It's actually kind of cool if you already had 5.2 running in a software, which even if you don't, a lot of the software you use will.
The costs come down a lot for that, and it also gets a lot faster. So the costs come down and the speed goes up. And so, yeah, for me, this is something I'm actually excited about.
So as far as how the benchmarks look, I know, you know, I'm not trying to like sit here and nitpick the benchmark percentages, but I did want to talk about some interesting use cases and reasons why these are why they're good. Specifically, it's it's kind of leaning on a bunch of the better known benchmarks. One of those is for coding.
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Chapter 3: What improvements are made in coding capabilities with ChatGPT 5.4?
There is an OS World Verified. It basically evaluates how well an AI can operate a desktop environment. It's, you know, pretty much just like takes a screenshot, and then it uses the keyboard and mouse commands to go and click stuff. Right now, it has about a 75% success rate. I've used ChatGPT Agents. It's not perfect. It's actually not my go-to. I don't use it that much.
I wish I could use it more. I think Anthropic is doing better in this, but... 75% success rate, like they are improving. Their success rate is up a bit. It's better than GPT 5.2. I still don't think it's the best. There's a major focus on kind of how it is being used professionally.
OpenAI says their model right now is significantly better at basically giving the kind of deliverables that people use in real work. So things like spreadsheets, presentations, financial models, legal analysis. All of those, they've done a bunch of different tasks and they had one performed by a junior investment banker analyst. It got 87% compared to 68% that GPT 5.2 got.
Some human evaluators also preferred it. about 68% of the time, they said it had better visuals and better structure. So there's some cool stuff. Okay, cool features that you might actually use today. This is the one I'm very excited about. It has what they're calling steerability.
But basically, when you're when you're talking to chat GPT, it's available in the API too, which I think crazy, but it's on chat GPT. If you're talking to chat GPT, and you can kind of see its reasoning, right, like it's thinking through some stuff, and it puts a couple steps down, you realize it's going in the wrong direction.
You know, maybe you're like, hey, I'm trying to visit like the best beach for surfing. And it's like, OK, looking at beaches in Kauai and you're like, oh, crap, like I'm in California. I don't want to see Kauai. And you're like, then you can type a message like specifically in California and mid like prompt mid response.
It actually takes into account what you just said and is, you know, steerability. It's going to go and incorporate that into its into what it's looking at. and into its reasoning and give you an updated response. So basically, you can do mid response prompts, and it's going to take that into account and change its prompt and give you better prompt mid response.
So it's kind of interesting, because I think they did a couple clever things here. But one of them is like, when you ask a question, you have to wait for it to think you have to wait for it to reply, you sit there and you wait, we all hate waiting. And so
If in the middle of waiting, we're reading its line of reasoning and we're giving it more input and more feedback, it feels like we get a lot less waiting. We're really just kind of reading and trying to throw in something and it can get it done faster and better rather than having to wait for it to spit out the whole thing. And you'd be like, OK, this is wrong. And here's why it's wrong.
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