It's the first time in the history of the world.
OpenAI's next medal is ready.
Last night, Tibo, the head of the Codex, came up with a codeword called "Le GPT Fat", and the whole network was speculating that GPT-6.2 Astra would be coming soon.
Incidentally, just today, two mysterious model IDs that were never disclosed suddenly flashed onto OpenAI's official API model list.
rc-ada-or-vm
rc-ada-sh-vm
A few minutes later, OpenAI pulled the two models from the API list, and the developers who started the call were all hit with the "503 capacity limit error".
Today, the official OpenAI blog post posted a hardware engineering column highlighting an unpublished article."A new model of the mysterious interior".
The GPT-6 Astra is the highest-rated GPT-6 Astra, with a peak rating of 87.5%.
OpenAI has been killing the next generation for months and can't hide it at all.
GPT-6.2 AstraInjection flows outThe texture is straightforward Fable 5.5Almost at the same time, netizens unveiled a wave of tests of the GPT-6.2 Astra, directly filling the entire network with expectations.
The long-running demo of this "Sea Monkeys Cycling" is full of details, the texture is amazing, and the rendering effect is so beautiful Fable 5.5.
Not only is the GPT-6.2 Astra pure front-end codec handheld animation, but it can also be "eaten".
In the diagram below, it completes an animation format from 0 to 1, but is still taught a lesson in lens design and detail particle size by Fable 5.5.
It is based on the graphic novel of the same name by GPT-6.2 Astra.
The classic version of "My World" was first adapted into an anime after the SVG graphics were made.
In the SVG test, four large models simultaneously draw PS5 handles, the GPT-6.2 Astra and the Fable 5.5 are completely new SOTAs.
The last few minutes of the fire were quickly withdrawn.Dual VM architecture and GPT-6.2 twin stars float to the surface
This late-night tracking pack was captured by developers Pankaj Kumar, Pradeep Kapoor and AI Tracker Bot, an automated tracking outlet.
In keeping with OpenAI's consistent release pace, new models often have a short installation test at the production environment API gateway 24 to 48 hours before the official announcement.
Currently leaked binary model codes, forerunnersrcRelease Candidate is an abbreviation for Release Candidate, indicating that the model has completed internal training and testing and can be put online at any time.adaIt is the internal code of this generation of models.
There's two people in the back.vm(Virtual machine)
or-vmResponsible for the dismantling of tasks, global scheduling, equivalent to the "brain virtual machine" that issued the order;sh-vmIt's a "hand-to-toe virtual machine" that runs commands, writes code, and runs software in an isolated sandbox.
Plugging the dual virtual machine environment into the bottom of the API model shows that this new generation of models is born with complex long-link Agent tasks.
Another group of developers pointed to two new models that have just leaked from the codex's internal logs, the gpt-6.2-astra and the gpt-6.2-betelgeuse codenamed "Enter 4".
The former has taken over almost two percent of the codex's traffic, and Bel, named after the red supergiant, is a supermassive model with a parametric size of 10 trillion to 12 trillion, coincidentally matching Tibo's "fat version of GPT".
At the Abu Dhabi summit two days ago, Mr. Ottman also acknowledged that the frontline mobilized 10,000 Agents for 70 consecutive hours to tackle the millennial puzzle of the "NS equation", the AI behind the "next generation of GPT".
The two candidate versions of this flash API are likely to be the GPT-6.2 "Twin Stars" in preparation for the launch.
Mysterious new model: "Astra's blood-filled version is squeezed by the startup".If the API flash was just to reveal a name, OpenAI's blog post about the same minute of accelerating the engineering and development of the physical world would reveal the terrifying muscles of this new model.
For the first time ever, the eye-catching rating agency LuminaBench has posted the first run chart in the blog.
In this rating chart called BenchCAD 2.0, OpenAI rarely combines its mainstream GPT-6 Astra with a mysterious opponent signed as "Internal Model".
This list includes all 100 real-world cases in hardcore engineering, requiring models to write code, call on knowledge of physical engineering, rebuild 3D parts and assemblies, and clear connections on PCB circuits.
Opening up the graph data at the bottom of the OpenAI webpage, the gap between the two generations of models is quite disparate.
Active main forceGPT-6 AstraFrom the lowest grade to the fifth grade, the score stops even if the reasoning is pushed to the limit.59.4%。
And that one.A new model of the mysterious interiorIt's the lowest grade I've ever had.75.8%It was 16 percentage points higher than Astra's full-blooded threshold, and the cost of a single essay was cheaper; continued to increase the computational power, the scores rose all the way up.87.5%The ceiling was raised 28.1 percentage points.
The first author of the BenchCAD 2.0 benchmark, Haozhe Zhang, is astonished that the direct score jumped from 0.594 to a range of 0.875.
Netizens Prince calculated a bill at the price of Astra's API, a mysterious internal model that costs $11 to get a high starting point and $37 to give an industry-grade answer after deep thought.
It's a logical thing to look at in a moment.
In order for BenchCAD 2.0 to automatically install 3D assemblies, check gaps, and run PCB wires, the model must be able to adjust CAD scripts and simulation software on its own in the sandbox, matching the rc-ada-or-vm and rc-ada-sh-vm dual virtual machine architectures reflected in the API.
From Tibo's "Le GPT Fat", to the flashing and withdrawn rc-ada dual virtual machine model on the back of the API, and to the 87.5% internal model on the minute-light reel, all puzzles are in place.
Since the candidate release version (RC) has been uploaded to the API gateway, it is only a matter of time before the final countdown to OpenAI officially expands.