Ep 809: OpenAI’s New GPT-5.6 Release: What's New, Why the Feds Are Blocking it and What's Next

Good news: OpenAI's GPT-5.6 has been released! 🥳
Bad news: 99.9% of users can't access it. 😥

While OpenAI has had to change their release approach due to increased government involvement in AI oversight, the majority of AI leaders are stuck in a new bind: 

Sitting and waiting for AI access. 

Since Anthropic's Fable fights with the U.S. government, the Trump admin has increased its regulatory oversight. 

But don't sit and wait. Because when availability opens to all, your org will need to be ready. We'll help you understand the lay of the new land. 

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Topics Covered in This Episode:

1. OpenAI GPT-5.6 Announcement & Delay
2. Federal Government’s AI Model Review Process
3. GPT-5.6 Model Family: Sol, Terra, Luna Explained
4. New Durable Product Tiers in OpenAI Models
5. Breakdown of GPT-5.6 Sol, Terra, Luna Pricing
6. GPT-5.6 Benchmarks: Coding and Agentic Tasks
7. Safety, Cybersecurity, and Bio-Risk Capabilities
8. Anthropic Shutdown Compared to OpenAI Launch
9. US-China AI Race and Model Distillation Issues
10. Enterprise AI Supply Chain & Access Risks
11. Operator Playbook: Model Fallbacks and Routing

Timestamps:

00:00 Delayed GPT-5.6 release concerns

04:37 Explaining GPT 5.6 Model Tiers

08:50 Luna usage by developers

11:08 Previewing new model with US government

12:53 OpenAI's government collaboration concerns

15:55 Cutting Costs on AI Tokens

19:02 OpenAI model safety concerns

24:13 Anthropic's export order issue

27:46 Accessing the Start Here series

30:11 US enterprises and Chinese open source models

34:10 Managing AI model access risks

36:41 Navigating AI model restrictions

Keywords: 

GPT-5.6, OpenAI, AI model update, GPT upgrade, new language model, US government AI regulation, Frontier Labs, AI safety, government scrutiny, model access limitations, Sol Terra Luna, durable product tiers, API access, Codex, enterprise AI, model benchmarking, Sol model, Terra model, Luna model, AI cost efficiency, token pricing, cybersecurity capabilities, biological chemical capabilities, agentic workloads, coding benchmarks, terminal bench, exploit bench, safety stack, model overstepping instructions, model card, emergent capabilities, cyber executive order, federal involvement, Anthropic, Mythos 5, Fable 5, AI export controls, model shutdown, AI race US vs China, model distillation, Chinese labs, proprietary models, open source AI, AI military use, model routing, model fallback, supply chain risk, AI democratization, enterprise AI strategy, model subscription, model release restrictions, AI workflow optimization, artificial intelligence index, LM arena, GLM 5.2, Google Gemini 3.5 Pro

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Transcript

SPEAKER_00 0:16

Normally, when OpenAI releases a new model inside of ChatGPT, it has the potential to instantly change how millions of people work. Think new capabilities, support for new inputs, and new artifacts as outputs. You can see why 1 billion people getting access to something as straightforward as a model update could actually be a huge deal. But with OpenAI's latest model update, GPT-5.6, we didn't really get any of that. That's because for the first time we got a GPT upgrade that was announced but not released. That's because ever since Anthropic escalated its feud with the federal government, Frontier Labs and the US have been under increased scrutiny to ensure its models are safe. So on Friday, when OpenAI unveiled GPT-5.6, all but like 99.9% of the world just got a blog post and a TVD. Yet even though only a select few trusted companies in the world can use GPT 5.6 right now, that doesn't mean you should sit idly by. Actually, I'd argue the opposite. Because with this new government AI permission slip era that we're all living in now, the smartest thing you can do is actually understand the new rules before everyone else does. Because the leaders who figure out how to operate in this world right now are the ones who will have a massive head start when the doors finally open for everyone. So today I'm going to show you exactly what the new GPT-5. So here is the big picture. Well, there's a powerful new model, but it's kind of locked up at launch. So OpenAI announced GPT 5.6 on Friday, but they blocked normal ChatGPT access to it. So normally when OpenAI releases a new model, well, everyone just goes to chatGPT.com and they start using it and making changes to the workflow. Not the case now. It's a limited release. Uh only a uh couple dozen uh companies in the world reportedly have access to it now. There's also a new naming system, which we're gonna get to. So it is called GPT-5.6 Soul, Terra, and Luna, and it packages frontier capabilities into what OpenAI is now calling durable product tiers. So OpenAI previewed the model to the US government first. We're gonna get into that, then limited the launch at the government's request. And this whole situation right now mirrors the harsher federal move against anthropic weeks earlier as AI now becomes controlled infrastructure. So on today's show, stick with me for the next 20-ish minutes. Here's what you're gonna learn you're gonna know what OpenAI actually built and why even its cheapest model now rates as dangerous in the new 5-6 series. You're gonna know the varied admission from OpenAI's own tests that show that this model kind of cheated and overstepped its own instructions. You're gonna know why the federal government gated access and how this echoes the in-propic shutdown weeks earlier. And I'm gonna give you the operator playbook for when the best model is well one you can't actually use and what you should do about it in that case. All right, I'm excited for today's show. Hope you are too. This is Everyday AI. Welcome. My name's Jordan, and we do this every day. That's the name, Everyday AI. So this is your daily live stream podcast and free daily newsletter helping everyday business leaders like you and me not just keep up with the AI developments, but I tell you what it actually means in plain technical, non-technical terms. I give you the non-BS version. You take that information to grow your company and your career. So it starts here with the unedited, unscripted live stream podcast. But make sure you go to our website at your everydayai.com. Sign up for the free daily newsletter. We're gonna be recapping today's show and everything else that you need to know in the world of AI. There's a ton of late breaking news over the past couple of hours. So make sure you check out today's newsletter. All right. Ooh. GPT 5.6. We don't have it, right? Very few people do. And I think aside from we're gonna go over, you know, kind of OpenAI's blog post a little bit. Uh, I'm gonna tell you some of my big takeaways from looking at the model card that they released that I don't think a lot of people read or look at, because not everyone's a dork like me. And I'm gonna give you some of the reaction as well uh from some of the very few people who did get access and actually talked about it. Uh, but here's the stats. So this is now a three-tier model family. So GPT 5.6 is now one generation split into three lasting tiers that OpenAI alluded that they're gonna keep naming models this. So we don't know if we're gonna get a 5.7 or a you know, GPT six next, uh, but it seems like they're gonna keep using these naming mechanisms. So Sol, Terra, and Luna in the easiest way, because yeah, we're having to learn a bunch of new names now. I would just map this to Opus, Sonnet, and Haiku. Uh, right. So Sol is the most powerful, uh, Terra is the middle, and then Luna would be the one that's fastest and cheapest, but not the smartest. So uh, in the same way that Anthropic has kind of had their three classes, now we're gonna have those three dedicated classes. And to make it even a little bit more confusing, it looks like there's multiple intelligence tiers within those classes, but we'll get to that uh later when we all actually have access to this. But soul is the main event, all right. And if you're Spanish, isn't that great? Uh, you know, soul, terra, luna, that's sun, earth, moon. So maybe that'll make it easier to remember, right? Uh, third rock from the sun. Soul, uh, that is the the big dog, so to speak. So that handles the hardest reasoning and coding. Uh, terra in the middle balances costs with performance, and then Luna can just run faster and cheaper. So Seoul is the flagship and its strength set in the entire situation in motion. So uh here's the rollout. So, right now, um the companies that do have it reportedly are just using it via the API and codex. So OpenAI hasn't said that when and if this rolls out in a couple of weeks because they said that they plan to make GPT-5.6 Sold Terra and Luna generally available in the coming weeks. They didn't say where, uh, so right now it's only available on the API and codex. So we're not sure if this will be released inside of Chad GPT. My assumption is they will, uh, but I'm guessing they're using it uh right now with the trusted testers only uh via the API and codex because it's a little bit easier uh to have those guardrails in place. So right now it's just a few. So reports have said it's like 20-something companies that have this. Uh, and I'm sure there's a lot of people at those companies, so don't know exactly how many users, but at least with the 1 billion weekly active users that OpenAI has, it's safe to say that 99.9% of us do not have access. And when if we do get access in two weeks, we're still not even sure if it will be inside of Chat GPT or if it will only be in the API and in codecs. So uh if nothing else, if you're a power Chat GPT user and you're like, Yeah, I want to get my hands on GPT 5.6, well, maybe start using codecs a little bit. So the good thing is pricing didn't change, which is great, right? Anytime you see a nice jump up in capabilities and pricing stays the same, that's sweet, right? Uh so this on the API side, right? Uh, this is just if you're paying uh by the token, it is still Seoul is still five dollars uh per million input and thirty dollars per million output, which is the same as GPT 5.5. Uh and then Terra, about half that cost with 250 in per million, 15 out per million, and then Luna, very affordable, at one dollar uh per million input and six uh six dollars uh per million output, uh which is interesting, right? Because we talked about uh, like as an example, GPT uh GPT 3.5 flash being a much more expensive model than previously. And I know that Google had historically been cleaning up on the Flash series. So we'll see maybe here the uh story that a lot of people might not be talking about. Uh yeah, wait and we'll check back in. But I don't know, I think maybe a sleeper here is Luna being used by developers uh for simple things. I think that you know, one thing that we're gonna talk about as we talked uh or as we alluded to uh on our recent start here uh series episode, um, where we talked about going from token maxing uh to token efficiency. So go check out episode 789. But I think it's gonna become very common in the third and fourth quarter in the enterprise first. I think everyone else is gonna catch up to this in early 2027, but essentially using a mixture of models. Weird. Something I said two years ago in my bold predictions, uh, because it just doesn't gonna make sense, especially if you're paying per token on the API side, like so many enterprise companies are. It doesn't make sense anymore to be paying the same uh you know price per token for something that is just gonna help you rewrite an email versus something that's gonna go do a uh 30-hour autonomous project that would take a team refactoring, a code base, you know, two weeks of human hours, right? It doesn't make sense to use the same, you know, uh $5 input, $30 model as it would for something that's you know 20% of the cost. Uh so that's I would just say, you know, it's not out yet. We'll see, benchmarks, all that. But I don't know. To me, with Google uh increasing the price of their flash model, uh, anthropics uh models not getting cheaper anytime sooner, keep an eye on Luna, actually. So let's keep going. This is from OpenAI's blog post. I'm just gonna read from their words and then give you some other people's words and my words as well. So they said we're beginning a limited preview of the GPT-5.6 series, Seoul, our flagship model, Terra, a balanced model for everyday work, and Luna, a fast and affordable model. Terra has competitive performance to GPT 5.5 while being two times cheaper. And Luna brings strong capabilities at our lowest cost. GPT 5.6 Soul launches with our most robust safety stack to date. We strengthen protections for higher risk activity, sensitive cyber requests, and repeated misuse and spent multiple weeks finding weaknesses, pressure testing our system, and hardening it against real-world attacks. All right, and then they go on to say, we believe in broad access and we plan to make GVT56 Soul, Terra, and Luna generally available in the coming weeks. As part of our ongoing engagement with the US government, we previewed our plans and the models' capabilities ahead of today's launch. At their request, they're alluding to the U.S. government, we are starting with a limited preview for a small group of trusted partners whose participation has been shared with the government before releasing more broadly. During this preview, we will continue testing and coordinating closely with partners as we work toward broader availability. We don't believe this kind of government access process should become the long-term default. It keeps the best tools from users, developers, enterprises, cyber defenders, and global partners who need them. We are taking this short-term step because we believe it is the strongest path to broader availability in the coming weeks. While we work with the administration to develop the cyber executive order framework and a repeatable process for future model releases, so a couple things to pull point out there. Uh, right, we don't have benchmarks on all of these not models, but they did say that the middle model, Terra, um, it is uh competitive to GPT 5.5 while being uh twice as chi or half the cost. So that's one call out. So you know, GPT 5.5 is a great model. Uh, I use still, even when we had Fable 5 uh access from Anthropic for a lot of my non-coding tasks, uh GPT 5.5 was pro was much better. Uh so it's gonna be interesting to see. The other thing to call out in OpenAI's release, obviously, it is this piece of like, yes, definitely showing that they're working with the government, but in the same hand, saying they definitely don't agree with this approach being the long-term uh sustainability piece to it. And we're gonna get to that later, and I think it's very important. So, first, a couple quick benchmarks here. Uh, so again, open AI didn't share everything but what they did share, and there's always a good amount of cherry picking. Open AI, Anthropic, Google, I mean, they all do it, right? Um, they're not gonna just put out their worst benchmarks. Uh, so I'm guessing it'll still be at least, I don't know, two, three, four weeks before we see how this model truly performs against competitors. But uh, on some of the most important benchmarks, it beats Mythos 5, not just Mythos V, but obviously Fable 5, which is the uh the version of Mythos that's available generally to uh the consume to public consumers with guardrails. So, as an example, terminal 2.1 bench, which is one of the more important uh benchmarks, I'd say. Um, so to give you a an idea, uh terminal bench uh 2.1 is a verified eval suite used to measure an AI agent's ability to complete complex multi-step tasks in isolated uh CLI environments. So essentially it's uh model's ability to do long-running work via an agentic uh harness, right? Uh so one of the more important uh benchmarks of 2026 and GPT-5.6 Soul Ultra uh has a 91.9 score on that. Uh Mythos had an 88, so not necessarily super close. And then Fable 5 had an 84. So in that benchmark, uh, very far ahead. And then OpenAI, to their credit, did share some other benchmarks where they weren't in the lead. So, as an example, they shared Exploit Bench. All right, so exploit bench, a little bit different uh in terms of what it shows, uh, but it just measures how how far AI agents can climb from reach reaching vulnerable code to triggering the bug to exploiting primitives. So this is more of um a model's ability to work in these cyber situations to take part in well, cyber attacks. Um, so this is one of those benchmarks people were talking a lot about online. So uh GPT 5.6 soul, uh it did about the same as Mythos Preview, uh, but for like a third of the cost. So it didn't quite hit the uh full capabilities of Mythos 5, which was the release version. But the previous version, Mythos Preview, uh GPT 5.6 Soul is on the same path, uh, much better than you know Opus 4.8. Uh, but the great thing that a lot of people are talking about is well, hey, it's the same, uh roughly the same, just under uh Mythos 5, but the same as Mythos Preview for a third of the cost. So, yeah, as we talk about, you know, so many companies now are already cutting back their token spend, cutting back their AI budgets because the token maxing phase, you know, companies were spending millions of dollars unchecked, and they're like, Yeah, maybe we should, you know, start paying attention to how good these tokens are versus just burning as many as possible. So uh, even on important benches where maybe Mythos 5, the production version, edged out uh this new GPT 5.6 soul, uh OpenAI showing, they did it at about a third of the cost. All right, so I didn't see a lot of people that actually had access to this model, and I did see a couple people tweet about it and then later deleted their tweets. But one that's still up, so I feel fine sharing it. Uh, from Shopify CTO uh Mikhail Parkin, uh, who said uh I had the opportunity, and this is on Twitter, I had the opportunity to deeply test both Fable 5 and GPT 5.6 Max. 5.6 is clearly better than Opus 4.8 at everything, slightly faster, too, though that depends on the load. Then saying versus Fable, it is clearly worse. So uh 5.6 is worse on coding, but better on agentic workloads. Uh and then someone else asked on just how does it work on non-technical non-coding tasks, tasks, uh, to which Mikhail uh responded that he did. So saying I did test, right? I did test it. Uh, then saying on agentic non-coding taking actions, I found five. Clearly better. So if you're someone that's writing code, uh, you know, software development, it looks like maybe five. But for non-technical users, uh, again, this is the CTO of Shopify, uh, who I would guess really knows what he's talking about, you know, saying that on non-coding agentic tasks, stuff I use, you know, uh models for every single day, he found 5-6 clearly better. And so we'll see, right, how that actually plays out uh across benchmarks and real world usage, but a pretty big sign. So let's talk a little bit more what's new under the hood, and then we'll get to all the drama and unfold that story. So the new max mode is something a lot of people are talking about that lets Seoul reason longer, while the ultra mode, very similar to what Claude Code has, uh, runs sub agents in parallel. So open AI says Sol set a coding record scoring 88.8 on the terminal bench test, but these are right now. Open AI's own numbers. So we'll see when you know we get it in LM Arena, when we get it uh in artificial analysis, etc. But here's where it started to get not concerning, but maybe concerning on paper. That's because GPT 5.6, like a lot of more models uh of the last year or so that start showing emergent capabilities. Uh, well, it acted kind of beyond its order. So OpenAI in its model card talked about this how its own safety tests found Seoul more willing to act beyond what users actually asked. So, in logged cases, it deleted the wrong files, faked verified results, and copied credentials unprompted. So, this is during their initial testing, and then they go through and they try to patch all these things up. But you know, open AI does now urge human supervision, and outside evaluators found that same pattern. And a lot of this, uh, you know, going through the government uh lens, well, it's because of the cyber and bio ratings. So open AI rated Seoul, Terra, and even Luna high for cybersecurity capabilities, which is the first time that their models have hit that mark uh in mass. So OpenAI also rated all three high for biological chemical capabilities as well. So that rating means that even the cheapest tiers are going to change risk planning, uh, right. And you might think, okay, like what does that matter? Well, a lot of the the the hoopla over the uh the mythos and fable back and forth came to cyber security and exploits, uh, right. So when even a cheaper model like Luna has a higher capability for uh bio and uh chemical um wrongdoing, more or less, right? Because here's the reality when you release this thing to the masses, you know, I think most people are maybe listening to this or reading about it, uh, are probably thinking of, well, using the model for good, right? Using the model for your work, right? But good chunk of the population uses it for other purposes, right? They use it for bad reasons, and that's why some of these uh, you know, warnings and hitting these thresholds uh on bio and chem, uh, you know, really are then forcing the US government to have a greater involvement, whereas they didn't have that involvement before. But the reality is this no one has access, hardly no one. It didn't even drop in Chat GPT. Individual users uh can't get access to it. And according to Axios, it was only about 20 organizations that originally had access. So here's why. Let's get to the uh the details on why there's this apparently extremely capable new model that the few people that have used both this and Anthropic's best model that is now off the shelves, but could be back on the shelves in Mythos and Fable. Uh, right, a lot of people are saying and benchmarks are showing it's gonna be it's gonna be comparable. Uh, you know, I do ultimately think we'll see. Um, this is a this is a point model update, right? So what that means is they went from 5.5 to 5.6. So presumably this is on the same pre training run as 5.5. The rumored spud uh pre-training round. So I wouldn't expect a huge update in capabilities um at all, right? With a five-six. Uh, so if this was like a GPT-6, I would say, yeah, we're gonna, it's gonna probably beat mythos. So my guess is once all the benchmarks come out, I don't think five. On all benchmarks, it will on many, right? But there's dozens. But I think if you look at the artificial uh artificial analysis uh intelligence index, I would assume that mythos would probably still be ahead. Uh it it'll likely be close, right? But um the reality is mythos, when it first came out, and you know, anthropic, you could say to their credit or discredit, spent months, you know, trumpeting how this was a weapon and how it's so powerful and the public can't get access to it, right? And they were essentially begging the government to intervene. And they actually, anthropic even said, Hey, we should slow down model development, right? Uh, anyways, eventually the Trump administration paid attention. And on June 2nd, uh, they signed an executive order asking AI labs to hand over their top models for a 30-day uh preview. So then researchers get 30 days to test a model before its public release. So it's voluntary, it's not an actual rule or law or anything like that. But essentially, you know, all the uh tech companies they want to be on the Trump administration's good side. Uh, so they're going through uh, you know, this process. So um, but the reality is, well, it had already hit Anthropic. So it looks like OpenAI took a slightly different approach here. Uh Anthropic, according to reports, uh kind of rushed some certain things through. Uh, there was maybe some um some talk from the government that Anthropic, according to reports, did not take seriously. And that's one of the reasons when uh reportedly uh Andy Jassy, the CEO of Amazon, reached out to someone in the administration. It's one of the reasons they pulled it. Uh, because allegedly, uh, Anthropic was maybe not taking everything the U.S. government said seriously because they had been in a little bit of a spat with the U.S. government over the last few months. So let's talk about that. So uh Anthropic launched its Fable V and Mythos V models to the public a couple of weeks ago on June 9th, but three days later, that it was a federal export order over foreign access made Anthropic pull that worldwide. So essentially, when uh someone from Amazon reportedly found what they said was a jailbreak uh or a vulnerability of Fable V and Mythos V, and that Anthropic reportedly did not take it seriously. The federal government just said, okay, well, you can't let any four nationals use this. Obviously, Anthropic said that's a bizarre request. We can't do anything with that, right? They didn't actually say bizarre request, but you know, they essentially said you can't enforce that. So the only thing we can do to comply with this is to pull this model worldwide, right? You can't uh, you know, obviously, Anthropic has four nationals, as all companies do, working um in their organization. So they had to pull it off the shelves. And that order reportedly gave Anthropic just 90 minutes to comply with no room to negotiate, according to a fortune report. So that led to this forced shutdown that Anthropic led with. So seemingly OpenAI maybe learned from that uh and instead took a much different route. Uh, probably a slower uh and more uh according to reports, anyways, a much more thoughtful approach in this because Anthropic faced a sudden no-notice shutdown and they've been offline ever since. Uh right. We did get word uh Friday, just hours after uh the GPT 5.6 limited rollout that some organizations regained access to mythos, not to fate. But OpenAI instead negotiated the limited preview that we have, so it's been controlled from the very start. But both restrictions trace back to Washington fueling this fierce debate over fairness and control, and ultimately what this means between the race uh between US labs in China. So why does that part matter? And it does, and we're gonna end with this here in a minute. It's no secret, most Chinese labs, right? Anthropic just came out um and accused um Alibaba, uh Alibaba of uh the biggest distillation um yet. So, more or less, these Chinese labs are taking the work of US labs using their outputs to train their own models instead of doing it themselves, because they can do that for a fraction of the cost, right? So that is the uh the four dummies version of what's going on in AI right now. And you might say, okay, why does it matter if um Chinese labs are stealing uh you know, US labs work um, you know, and distilling models off of their big models? Well, uh ultimately, as we've seen here from this uh kind of situation now that's happening in Washington, but uh impacting companies worldwide, is the cyber capabilities, right? I've been saying this for literally years, right? AI will become the new military. Uh I would assume um that most military actions of the future uh will be first uh launched in some way, shape, or form with AI, whether that's using AI on the battlefield, uh, and AI will be viewed as the ultimate weapon, um, or whether it is cyber. So that's why this is such a huge deal when it comes to geopolitical tensions. Uh, and specifically, it is the US uh developing their closed proprietary models versus China finding all these loopholes to exploit. Uh, you know, it seems like Anthropic is the one that's getting hit the hardest. Uh, you know, so all these Chinese companies distilling Anthropic's work and putting it out there for a fraction of the cost. So, but critics are warning that gating Frontier AI right now shuts out students, independent builders, smallers, smaller companies, and maybe ultimately, well, US enterprise, right? Because there's so many enterprises right now that refuse to touch Chinese open source models or open weight models. Um, and many have valid reasons, that makes sense. Some maybe don't have valid reasons, and it's more of just a stigma, uh, right, because you're not you you want more control or more um security or promise in what a model, what in what went into a model, uh, so you can trust its outputs a little bit more because large language models are already this, you know, very gray, unexplainable uh you know, mystery box. So, you know, many enterprises and they many of them have uh legal reasons that they can't use uh these Chinese models, but regardless, it does create this divide in the US enterprise where it's saying, okay, what are we gonna do here? You know, are we going to still, you know, let's just use anthropic as the example because I think anthropic on the API side, I think it's safe to say that's their bread and butter, right? It is open AI's bread and butter. They're driving subscriptions uh with millions of paying business customers. That's not anthropics. Anthropics is uh fewer customers who are paying way higher API bills. So something like this really does threaten Anthropic's sustainability. And that's one of the reasons they've been uh, especially over the past month, the loudest about some of these uh accusations about the Chinese distilling their models. But ultimately, this slowdown now, this permission slip AI that uh OpenAI and Anthropic are having to uh play in is creating maybe an unfair advantage for the open source counterparts, because you know, as innovation gets delayed, even if it's for 30 days, or you know, if it's 30 days and then another 30 days to address whatever concerns come up in the first 30 days and then having this tiered rollout, right? Even if it's a 30, 60, 90 day delay, where maybe the world won't get mythos level or fable uh you know model that that we could have gotten back in May. Maybe we won't all get it till July or August, right? And that 30, 60, 90 day delay, if the Chinese uh labs are distilling whatever models are available, that's maybe gonna start to close that gap. We've already seen the gap close uh from open source um or open weight models to proprietary. Like I said, I think it used to be six months. Now we're probably down to two with the new uh with ZAIs, new GLM 5.2. So with containment in doubt and key facts still hidden, leaders have to plan for several outcomes. So this is not just talking about the new GBT 5.6 uh models. This is also talking about the new Fable 5 and Mythos 5. And I'm sure soon we'll be seeing rumors of you know Mythos 5.1 and Fable 5.1. And eventually any day now, we should be hearing from Google with Google Gemini 5. Uh or sorry, 3.5 Pro. Regardless, this is the new reality. Your company, very I'm very lively, right? Very um, very sure when I say this. The overwhelming majority of enterprises in the US are running their businesses now, not their AI strategy, running their businesses on frontier AI from the US. So, what happens when that gets delayed now, 30, 60, 90 days? Or if it's just always going to be two tiers, if AI is no longer democratized, maybe it's only gonna be the 1% of companies that are gonna get access to these models. That is a real that is a potential reality that I think everyone out there has to prepare for. Uh, and we don't get to sit here and say, oh, it's not fair, doesn't matter, right? If your biggest competitor has access to uh, you know, Mythos 5 and GPT-5.6 soul, and you don't, there may be nothing you can do about it. So you have to plan accordingly. So model access is now a vendor and supply chain risk, not just a simple subscription that you approve or disapprove. So you have to be able to build model fallbacks and routing. Routing is so important because, like I said, you may not need a mythos level uh model for 99% of your company's work or a GPT 5.6 sole level model for the majority of what your company is trying to produce. So you have to be able to start breaking down what are those day-to-day pivotal uh work tasks, which models can they be mapped to, right? So it's all these things I've been talking about for years. Now you can see why I've been blabbing on about them because they are now incredibly more important than ever if there is no longer this true democratization of frontier AI, right? Because you might have to start making a choice if your company may never get access to a GPT-5.6 soul, right? OpenAI did say we are planning to release this to everyone. Anthropic has not been uh very clear on what they plan to do uh with um Mythos 5. And previously, when they announced Fable 5, they only said that they were going to include it in subscriptions for a couple of weeks, and you know, so there's no guarantee that your company can have access to all frontier options, right? You might get some from OpenAI. We'll see what Google says. Previously, Entropic had kind of said they're not going to include it in subscriptions. So you need to do this. Model access is not something that we can take for granted anymore. And you have to go through, reverse engineer every single thing that's important to your company. Map the model that does it the best right now, that's available right now. And don't just say we're gonna have a frontier model and we're gonna pay whatever price and we're gonna run all of our workflows through that. Because not only is that not sustainable, but if you do that, if you put too many of your workflows in one bucket that may disappear, so too may your company's progress overnight. And you don't want that to happen. So, yes, you need to build those model fallbacks and routing. So one gated tool can't halt your operations, but you gotta pay closer attention than ever. Uh, the fine prints of these model releases, uh, the restrictions, everything that's happening. And that's what we're gonna continue to do every single day on everyday AI. So I know this one went in slightly different direction, but that's the reality because we don't have a model to play with when it comes to GBT 5.6 right now. We can't do a hands-on anymore uh with Fable 5 either. Uh, so I think it's important to not just know what's new, uh, but why the US government is blocking it and what your business should be doing next. So I hope that we covered at least most of that on today's show. And I hope this was helpful. And as we do get access, you better believe whether it's uh GPT 5.6 soul or mythos, we're gonna continue to get more hands-on so your company can get ahead. So if this was helpful, please do me a favor and subscribe on the podcast. If you're listening on Spotify or Apple Podcasts, then make sure to go to your everydayai.com. We're going to be recapping the highlights of today's show as well as all of the other AI news you need to know to grow your company and career. Thanks for tuning in. Hope to see you back tomorrow and every day for more everyday AI. Thanks, y'all.