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Did OpenAI actually build AGI? GPT-6 Astra first look Transcript, AI Summary & Key Points

Fireship · 11 days ago · Science & Technology · 07:27 · EN

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Answer

Astra demonstrates broad computer-use, coding, spatial reasoning and agent capabilities, but its Artificial Analysis score of 61—equal to GPT 5.6 Soul and below Fable 5.1—does not establish that it is AGI.

AI Summary

GPT-6 Astra is OpenAI's new model, with computer use, coding, 3D modeling, game-world generation, benchmark performance and autonomous cyber capabilities as its main strengths. OpenAI reports 73% on OSWorld, 100% on ExploitBench, 65% on Terminal Bench Science and 99% on ARC AGI 3, along with a critical cyber threshold in its preparedness framework. Astra can fill out forms, operate spreadsheets, use Keycad and Blender, create Unreal Engine 5 scenes and control multiple agents. Its $10-per-million-input-token and $50-per-million-output-token pricing matches Fable 5.1. Artificial Analysis gives Astra an intelligence index score of 61, equal to GPT 5.6 Soul and five points below Fable 5.1, which raises doubts about whether the benchmark results establish AGI.

Key Points

  • Anthropic released Fable and Mythos 5.1; Fable is available for use, while Mythos is restricted.
  • Fable 5.1 diagnosed a once-in-a-million-run crash by analyzing a memory snapshot, tracing the crash into a compiled vendor library and finding a bug in the vendor's code.
  • Mythos 5.1 increased the success rate for designing proteins that bind to a specific biological target from about 10% to about 50%.
  • Mythos 5.1 trained a neural network on 30-year-old NASA radar data to create an elevation map for part of Venus.
  • Meta released Muse Spark 1.3, with standard pricing of $1.25 per million input tokens and $25 per million output tokens, plus a contributor tier costing $0.10 per million input tokens and $0.20 per million output tokens in exchange for allowing Meta to train on submitted data.
  • ChatGPT, Claude, Grok and Cursor went down around the time of Astra's release; an Azure outage was identified as the most likely explanation.
  • OpenAI's Astra announcement was removed after Reuters, CNBC and The Verge published embargoed stories, then returned about 90 minutes later before public access became available.
  • Astra was pretrained on more than 100,000 GPUs at the Stargate site in Texas, and previous OpenAI models performed a significant portion of the training supervision.

AI in practice

Used for

Agents

  • GPT6 Astra — Find and exploit zero-day vulnerabilities without a human telling it what to do. 2 held 05:21
  • Astra-powered agents — Populate an Unreal Engine world with a dozen agents that can interact and converse. 2 held 06:07

Links mentioned

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Transcript

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00:00 The famous American philosopher Smashmouth once said, "The years start coming and they don't stop coming." And I've never understood those words more deeply than I did this week after what felt like years in AI Bizarro land. At first, on Tuesday, Anthropic released Fable and Mythos 5.1, which they're calling the world's most advanced models for coding and knowledge work.

00:17 Then on Wednesday, Metal released Muse Spark 1.3, which Zuck says is a Frontier model that's almost too cheap to meter. Then finally, on Thursday, OpenAI announced GPT6 Astra, which President Greg Brockman says is AGI if you were one of the handful of lucky influencers or enterprise customers who got access to it. Unfortunately, I think I've made too many gay scam altman jokes over the years to make the cut.

00:40 But in this video, I'll do my best to break down the new models to see how the anointed are liking Astra and look into the totally coincidental timing where the internet broke right as it was released. It is September 4th, 2026, and you're watching the code report. Normally the first week of September is a quiet one because all the rich VCs and poor project managers are busy appropriating schizophrenic culture in the Nevada desert.

01:03 >> Because you did so well, you get to hear a magic tune on my ocarina. >> But apparently AGI waits for no one despite how dead your ego might be. On Tuesday, Anthropic got things rolling with the release of Fable and Mythos 5.1. Although they're the same model, Mythos is the one you can't use while Fable is the one you can. It just changes the subject when you ask about anthrax.

01:24 The TMBBBS were fine, but the more interesting bits were in the case studies. A Backstreet Boys inspired hedge fund named Millennium had a piece of code that for the last 5 years would crash about once in a million runs. And regardless of how much Aderall they took, they couldn't figure it out. So recently, they gave it to Fable 5.1, which took the memory snapshot the program leaves behind when it crashes, then found that the crash address pointed into a compiled vendor library they didn't have the source code for.

01:50 They disassemble that library back into raw assembly and trace the crash to a bug in the vendor's code. And speaking of drugs, Mythos 5.1 is also pretty good at designing new ones. The first step in making most modern medicines is designing a protein that sticks to a specific target in your body. It typically AI gets this right about 10% of the time, but Mythos 5.1 was able to increase that number to about 50%.

02:12 And for those of you who have the planet flavored version of autism, it was able to train a neural network on 30-year-old NASA radar data to build a new elevation map for a part of Venus. Then on Wednesday, Meta dropped Muse Spark 1.3, which was the fourth release in 5 months from Meta Super Intelligence Labs. And what do you know? These TMBBBs were also pretty good.

02:32 But the more impressive part is in the price. The standard endpoint is $1.25 in and 425 out. But if you're the give up essential liberty to purchase a little temporary safety type that there's a contributor tier at 10 cents in and 20 cents out as long as you agree to let MetaTrain on everything you send it. Alexander Wang says a double-digit percentage of developers are choosing that option, which makes sense because a double-digit percentage of developers would also choose to eat the mystery beef from Argentina if you

03:01 told them it was cheaper and open source. Which brings us to yesterday morning when right before the Astro release, chat GBT, Claude, Grock, and Cursor all happened to go down at the same time. The AAM's razor opinion is that it was most likely an Azure issue since they reported an outage around the same time. But the more entertaining theory is that Astra's first act as a public model was to literally kill its competition.

03:23 But once the lights came back on, the launch itself was somehow even messier. OpenAI put up their launch page and shortly after Reuters, CNBC, and The Verge published their embargoed stories. Then, for reasons no one really knows, OpenAI took down their announcement and the tech influencers got started on the modern status game of flexing how long they've secretly had access to Astro 4.

03:42 And to be honest, I would have done the same thing if it wasn't for Slippery Scam Alman and his grubby little gang of misfits. Anyway, about 90 minutes later, when the post was back up, it turned out the model wasn't actually available to anyone publicly yet, and the roll out to Plus and Pro users would happen in the coming days. But by the evening, Sam had posted an apology for the messy roll out.

04:01 And when a pro subscriber asked Sam if he should stay up and wait for it, as Sam told him something we've all heard after making a desperate late night plea, go to bed. As Sam also told CNBC, "The model went through a formal review with the Trump administration before release, so even the government got to try AGI before we did." As far as Astra itself, it was pre-trained on more than 100,000 GPUs at the Stargate site in Texas, and it's the first model from OpenAI, where previous models did a significant chunk of the

04:30 supervising during training. The main pitch today seems to be computer use where Astra can fill out forms, crunch spreadsheets, and operate engineering tools like Keycad and Blender. On OSWorld, which is a benchmark that drops a model into a real desktop and makes it do office work with a mouse and keyboard, just like a human meatag does until it begs for Xanax, it scored 73% while taking about 40 minutes for each task, compared to Soul's 65% at 75 minutes.

04:56 And of course, the agents on the Trust Me Bro benchmarks are the best to ever do it. It got 100% on Exploitbench and 65% on Terminal Bench Science, which beats the numbers Anthropic was bragging about on Tuesday. It also got 99% on ARC AGI 3, which is the benchmark that's supposed to prove your model actually generalizes instead of memorizing, which is kind of the definition of AGI, depending on who you ask.

05:18 And according to OpenAI, Astra is the first model to hit the critical cyber threshold in its preparedness framework, which is just a fancy way of saying it can find and exploit zero days on its own without a human telling it what to do. Pricing is the same as Fable 5.1 at $10 per million input tokens and $50 out. But what do the anointed humans think about it?

05:38 The early access reviews are positive in the way early access reviews typically are from people who don't publicly slander Sham Alman. But the demos, specifically the ones that require spatial awareness, are impressive. Share Shamim had it recreate the Palace of Fine Arts in San Francisco, and it did so almost perfectly in Blender. And Thomas Ricard from OpenAI posted a walkthrough of the demo house from the launchpost, which Astra first modeled in Blender and then turned into a fully walkable Unreal 5 scene.

06:06 But the most interesting was Matt Schumers who asked Astra to build a world in Unreal Engine and fill it with a dozen Astro powered agents. A day later, he heard voices coming from his living room and walked out to a bunch of agents talking about what I can only assume was a plan to create a dating app for horses. With all that said, when artificial analysis ran Astra through their independent intelligence index, it scored a 61, which is exactly the same as GPT 5.6 Soul and five points behind Fable 5.1.

06:33 Something doesn't add up here. But one thing that does add up is Code Rabbit, the sponsor of today's video. They got tired of seeing me make new videos about new exploits hitting the timeline every week. So, they just launched Code Rabbit Security to provide continuous code security that's powered by actual reasoning instead of brittle rex rules. Their security agents are designed to think like an attacker in order to hunt for real vulnerabilities across your entire codebase.

06:57 Then, it prioritizes actual risks based on reachability, exploitability, and blast radius. and it explains the problem to you in plain English and suggests a fix you can approve and merge from the diff. The code rabbit security reviews every PR before merge and you can also schedule deep scans across your full codebase to protect your back door 247 and get 10 free code scans to try it out for free today at the link below. This has been the code report. Thanks for watching and I will see you in the next one.