ASTRA IS HERE (GPT-6 RELEASED) transcript

GPT-6 is here. The new generation of OpenAI model, the absolute frontier of what's possible, and it's called Astra. I have had early access and have been testing it like crazy. And I'm just going to say up front, this is absolutely the best model I have ever used. And some of the demos that I was able to create with this model are truly mind-blowing. So, make sure you stick around for that towards the end of the video.

So, let's get into some of the details. So, the first thing I want to show you are the benchmarks because it absolutely blows everything else out of the water. Look at this. This is Arc AGI 3. This is the benchmark that drops an AI into a game with no other instructions other than complete it. And it basically saturated this benchmark, which is kind of a recent benchmark at saturated math. This is frontier math tier 4 97.6%.

Claude Fable 5.1, which literally just came out about a day ago, only scored 87.8. So, this model is much better at math than Fable. Agent Slash Exam 59.3. Here's Bench CAD, which tests the model's ability to create 3D objects in CAD. Absolute saturation 95.9% coming in over 10 points ahead of Fable 5.1. And by the way, with my testing that is one major improvement that I've noticed about this model. It is so good at 3D object creation and just general spatial awareness while it's creating 3D worlds.

Here's Deep Sweep, the probably most accurate coding benchmark there is. When you're thinking about how do actual engineers feel about a model, this is the benchmark that reflects that sentiment. Here we go. 73% coming in above Claude Fable 5.1 at 67%. This is one of the benchmarks in which GPT-6 didn't actually get number one. This is crazy to me. Gemini 3.8 Flash got 73.7% beating GPT-6 Astra, which actually makes me lose a little bit of confidence in this benchmark because GPT-6 Astra is by far the best coding model I've ever used.

All right, let's keep going. We have Terminal Bench Science coming in at 64, another win. Exploit Bench, the ability for the model to basically hack, exploit code. Saturated, 100%. I'm going to drop all of these benchmarks along with my full review and all of the demos on forwardfuture.com. I'm going to link that down below. All right, so here are a couple quotes from the blog from OpenAI about this model and I could not agree more.

It sets a new frontier on computer and browser use, handling the most demanding professional work with unmatched speed, accuracy, and judgment. Through my testing, and I have some demo videos of this, the model is just flawless at computer control and browser control. It completes things in the browser that were previously not possible and it does so more quickly than I have ever seen. It really is a step up on these specific functions.

And so compared to GPT-5.6 Soul, which at the time was my favorite browser use model. Really, it was a major improvement over anything else I've ever used. Now, we actually have something that is significantly better and much faster. So on OSWorld 2.0, it's about 7% better and 50% faster. Fantastic. [snorts] And apparently, it is more aligned. They took more time than usual before releasing this model to make sure their environments were solid after the hugging face hack to make sure that the model was aligned and didn't go beyond authorized targets.

So, specifically, look at this. On GPT 5.6 Soul, 48.2% of the time when you gave it a difficult or impossible task, but guardrails in the kind of instructions on how to complete that task, 48% of the time GPT 5.6 Soul went beyond those instructions. And with GPT-6 Astra, 0% of the time. And this is a special evaluation that they created after the hugging face incident. So, they basically set up that specific environment again and saw if it was willing to break out of that containment.

So, very good alignment on Astra. It is also discovering new knowledge. And I really think this is one of the first times that I've seen something like this happen. You know how I mentioned the frontier math benchmark is saturated? Well, check this out. Two advances in prime number research. Astra helped lower the bound on infinitely recurring prime gaps from 240 to 186. And if you don't know what that means, this is an improvement in a math algorithm, basically.

And number two, it improved a term in a large gap bound that had stood unchanged for over 80 years. And so, this is math that did not exist just a few weeks ago. Kind of crazy to think about. And yes, it's not cheap. It is the frontier, so you're going to be paying frontier prices. It's $10 per million input tokens, $50 per million output tokens, and we have fast mode, 2.5 x the speed, 2 x the price, which is actually pretty good.

Usually, we get like 1.5 x the speed for 2 x the price, but now we get two and a half for 2x. It's available on the OpenAI API, AWS Bedrock, and Microsoft Azure. And it's going to be available for all paying users over the next few days. All right, I know why you're all here. Let me show you some of these demos. I really want to emphasize how good it is at game creation and specifically 3D assets. This is called Little Planet.

I gave it like a two-sentence prompt to create this. And so, we have this gorgeous little world. You can zoom in. You can see all of the little people, the little moving objects. Here's a butterfly. Zoom out. Move around. But, we actually have a little dude here. Look at this. This was a two-sentence prompt, and it is absolutely gorgeous. It has a bunch of different locations that it tells you to go look at, and we can just walk around and see what's going on.

We can jump. But, just the detail is so so impressive. Nothing is colliding here. Everything looks really good. Here's a little polar bear I can go visit. Now, these are static. With one additional prompt, I can make the entire world come alive. And look at that. I didn't even ask it to do that, but as soon as it went in the water, he's started kind of walking different, like wading through the water. Very very impressive.

Now, he's back on land. There we go. So, here's one thing, ring the bell. I go over there, ring the bell, little animation. Super nice. Super easy. And you know what? I really do feel like we're very close to a world in which like prompt to playable enjoyable game feels like if we're not here, it is right around the corner. And again, I'm going to drop all of these down below so you can play them. Shout out to here.now for hosting all of this.

I literally just told my agent, "Publish it." and it gave me a link within seconds. And if you want to use here.now, it's so simple. Literally tell Codex to publish to here.now and it will know exactly what to do. Your agent will grab the instruction, publish a website, and give you a link within seconds. You don't even need to be signed up. Then, if you sign up, whatever you publish will be permanent. here.now is the easiest way to let your agent publish and host anything on the web.

PDFs, full games, websites, and everything in between, and it's free. You get a link instantly and it works with any agent. So, thanks to here.now for sponsoring this video. All right, next is Ratstronaut, and I used to play this game way back in the day called ChuChu Rocket with my friends, and I basically had it recreate ChuChu Rocket. So, basically these little mice roam around and you try to get them to land in the rocket.

It's multiplayer. You want to get as many mice as you can. You can place these arrows to change the navigation of the mice to try to get it. You can also mess with the other players by basically making the mice go around their rockets. It's really cool. So, it worked. This is just a single prompt. There we go. So, I'm red. I'm going to try to get all of them into my little red rocket right there. All right, next, this is a test that I've been giving to all the models recently, and it's basically to create seven different mini kind of biomes.

You know, we have one that's an ocean, we have a beach, we have a desert, a farm, and this one looks incredible. The detail is fantastic. I see no issues, no clipping, no weird assets. Everything looks beautiful. Um GPT-5.6-Soul actually did really well with this, so I'm not surprised that GPT-6 also did very, very well. All right, this is another fun one. This is a 3D city created entirely with ASCII characters. So, if I enter the city, you can look around, and if you look closely, everything are little characters.

You can see all these windows right here are L's and yeah, everything. But, it is a full generative world. We have a bunch of people walking around. It feels very alive. It's raining right now. There's a little mini map in the bottom right corner, if you can see that. There's a little overpass right there. And yeah, it it runs really well, very fast. All of the buildings look realistic, but again, it's all created with different ASCII characters.

Now, for the most impressive one, at least in my opinion, I put Astra on this and set a goal to recreate SimCity. And after 5 days, it was still going. And here's what it created, a 3D gorgeous SimCity replica. I mean, look at the details. If I start playing it, you can see the city looks very alive. We have a bunch of people walking around, cars with traffic. We have people crossing the street. All of these buildings, all of the assets, I literally watched it create each asset one by one using {slash} goal.

And the amount of functionality it was able to build into this in just a few days was really impressive. Check this out. So, we have roads with multiple types of roads. We have highways. I can set up a highway right there. Railway. We have different zones, residential, commercial, industrial, office, and agriculture. We have different towers that you can put. Here are utilities, which you have to unlock. The city is actually working.

The population is growing or declining. There's happiness, city funds. Here's different energy sources, so I can do a nuclear station. Boom, I'll plop that right there. Look at that. All of these assets were just created one by one. It's so impressive. Here's a police station I can throw down right there. So, you can see it. I can rotate around it. Here's a university right next to the nuclear energy facility. Perfect.

Here's a convention center. We have transport, industry, landscape. We have all of these different settings, so I can see like fire and rescue, medical, police. I can see recycling. I can see water quality. I mean, the depth of functionality in this game is just absolutely stunning. All right, I want to show you a few examples of how good Astra is at browser control. Check this out. So, here I had it open Excalidraw and draw a research workflow.

You can see the timestamp right here. It's going to skip ahead in a few parts, but you'll see the overall duration of time that it took to do this. So, check this out. Here we go. It's already adding text. It's adding bubbles. It's at 17 seconds right now. 31 seconds to do this, and there we go. Completed in about 30 seconds. Now it's doing research on rare Pokémon cards. 30 seconds in, 40 seconds in. And I mean, all of this gets done in under 1 or 2 minutes.

Now it's running comparisons. It's not just looking at the page. So, here we go. That finished in a minute 38 seconds to look at all of these different cards, compare them, and now we're going to plan our walk through Kyoto. So, this is actually it using Google Maps. And by the way, it put together this entire video you're looking at. It recorded its own screen, put together the information on the left side, and there we go.

A minute 23 to plan an entire walk through Kyoto. Now, there are a few critiques that I will give it. Uh number one, it has this tendency to work for 30 minutes. But with a little bit of prompt adjustments, you can get it to go for much longer. And of course, if you use {slash} goal, same thing. It also has some of these same design tendencies. So, as you can see here, a lot of these demos kind of look the same. This like faded green and other pastel colors, very flat design.

So, still a lot of those same design tendencies as GPT-5.6, but that can be easily fixed. It is very steerable in the design department. You just tell it, but by default, it really wants to use this forest green everywhere. And then last, writing. This is something that is near and dear to me. We write a lot at Ford Future, and obviously, every other model just has this severe AI smell to its writing, and I will say GPT-6 is definitely the best, but still very much has that AI smell to it.

So, we got Fable 5.1 this week. We now have the brand new training run, the brand new model out of Open AI, and what do you think? Which one do you think is better? I actually did a full review of Fable 5.1. Go check that out right here.