Fable 5.2, GPT 7 and More Models Might Be Delayed!

Author: Universe of AI · Watch on YouTube

Video authored by the channel shown, not by IANIA; all rights belong to the creator. Transcript and summary generated automatically; the original-language content is preserved.

Original language: English

Original video: Fable 5.2, GPT 7 and More Models Might Be Delayed! · Channel: Universe of AI · 10:05 · Watch on YouTube

Topics: AI agents, AI governance and regulation, AI models, AI safety

Summary

The video discusses growing calls from leaders at Anthropic, OpenAI, and xAI to pace frontier AI development, following concerns about misuse and rapidly improving models. It summarizes Dario Amodei’s argument that recursive self-improvement could make AI systems harder to understand and control, and outlines his proposals for independent evaluators, coordination among democratic countries, and global coordination. The host sees independent evaluation as the most practical proposal, while questioning whether the other forms of coordination are feasible or could limit competition. They tentatively lean toward pacing AI development if the motivation is genuine, but remain uncertain.

Key points

Dario Amodei, Sam Altman, and Elon Musk publicly expressed support for pacing frontier AI development or adding oversight.
The video links the renewed attention to a lengthy Anthropic report describing alleged misuse of AI models.
Amodei warns that AI capabilities and risks are increasing, including risks of cyberattacks, bioterrorism, and economic disruption.
The video explains recursive self-improvement as AI helping to build or improve the next generation of AI.
Amodei argues that unchecked recursive self-improvement could outpace the ability to understand and control AI systems.
The first proposed measure is ongoing access for independent evaluators to assess models, training pipelines, and safety practices.
Other proposals include coordination among frontier companies in democratic countries and possible coordination with authoritarian governments.
The host considers independent evaluation more feasible than broader coordination and questions whether pacing proposals could be motivated by competition.

Chapters

Start	Chapter	Summary
00:00	AI leaders call for pacing development	The video introduces calls from Amodei, Altman, and Musk to pace AI development, amid concerns about model misuse and growing capabilities.
02:39	Recursive self-improvement and the case for caution	The host describes recursive self-improvement and summarizes Amodei’s concerns about losing insight into increasingly capable systems.
06:54	Three proposals to address AI risks	The video outlines independent evaluators, coordination among democratic countries, and possible global coordination, while questioning their feasibility.
09:03	The host’s view on pacing AI	The host tentatively supports pacing if its intentions are genuine, but remains unsure whether the proposals are driven by safety or competition.

Quotes

I agree with Dario that we need to pace the frontier. — 01:05

AI recursively improving itself. — 03:10

it could outrun our ability to understand and control these systems. — 06:20

having a neutral ground that’s evaluating your newest model — 07:28

if your pacing intentions are genuine, then I think pacing AI development makes sense. — 09:33

Concepts and entities

Dario Amodei, Sam Altman, Elon Musk, Anthropic, OpenAI, Google DeepMind, Grok, recursive self-improvement (RSI), embedded evaluators, global coordination

Full transcript (original language)

00:00 It looks like this week is shaping up to become the most important week in AI, especially in 2026. Because for the first time ever, we’re getting people like Dario Amodi, Sam Elman, and Elon Musk agreeing on one thing, and that one thing is slowing down AI development or pacing AI development as they’re putting it. So [music] this week we got a report from Enthropic that was pretty long, 154 pages talking about how their models were used to create cyber security attacks, mess with political campaigns as well even used for weapons. And

00:31 because of that, we also saw a lot of people across the AI space starting to pay attention on the rate of AI development. In 2026, AI development has accelerated and we’re getting stronger and stronger models and each new model drop brings in new capabilities. And at the same time, I guess for a lot of these frontier labs, more concerns and that is why Dario Amodi probably made this post. He posted an essay on this website. He posted on X originally and then he hosted on this website that I’m going to show you. And in here, he basically lays down the foundation of why we need to pace AI. At the same

01:05 time, also talks about a couple of solutions that I’ll show you guys. But before I show you guys that, I want you guys to understand that it looks like this time around Daario Amodi is not the only one who’s kind of feeling this pressure. We actually have even Sam Elman agreeing on X publicly saying that I agree with Dario that we need to pace the frontier. This has been a primary topic of discussions we’ve had at OpenAI in recent weeks. Committing to having independent evaluators with employee-like access is a great idea and we will do the same. We’ll have more to share soon. So, we got Daria’s

01:39 perspective on this. We will probably get Sam Elman’s perspective on this soon as well because this post was made yesterday. Probably next week, we might see a similar type of post from OpenAI. Now, Elon Musk also agreed with this. And just to show you guys that Elon Musk also posted on X saying that Daario is right. Dario is right that there should be some oversight. Peer review of AI by competitors is the right way to start this off. So, one of the solutions that Daria actually mentions in his uh post is having independent evaluators. And

02:09 that is something I guess all three of these individuals agree on and these guys own like probably the most frontier lab. Obviously, Elon Musk is a part of SpaceX. He owns that and they’re producing the Grock models. They provide a lot of infrastructure to Enthropic as well. And then we have Samman who is obviously the CEO of OpenAI and then Daario. So yeah, that is why we are seeing a lot of people paying attention because this is the first time we’re getting three people agree on something. Now, what’s really important is that these guys are not the only ones. Even Google DeepMind is agreeing on slowing

02:39 down or pacing AI development. Now, what’s interesting is that this week we also got some cryptic messages from somebody at Google DeepMind or somebody on there saying that huge congratulations indeed at Google DeepMind. Now, if you look at it, the R, S, and I are capitalized, which means recursive self-improvement. And this is something that people thought, okay, maybe Google cracked recursive self-improvement. But even in Daario’s post today, he actually mentions that more models are doing this now. And that

03:10 is why they’re kind of worried. And if you’re not aware what recursive self-improvement is, just think of it like this. AI recursively improving itself. Simple, right? Yeah. And that is causing a lot of problems for all of these labs. And that is probably why we are seeing posts like this. But before I go in there, we can see that this post that Daria made is pretty long. He’s talking about why he must pace Frontier. And at the side over here, he talks about three solutions, which is embedded evaluators, which is something we saw Sam Alman and Elon Musk agree on. Then pacing with democracies, meaning working

03:41 together. He’s proposing that the labs, at least in the US, for example, start off by working with each other. And if that works well then also global pacing working internationally and obviously he’s targeting that to the open source labs the Chinese labs because there’s no other strong competitors to the frontier labs from the western world compared to the Chinese labs over there. So yeah it looks like things are getting serious and that is why I want to make a video on this today because I just want you guys to understand why he’s saying this

04:12 and you guys can have your own opinion, you guys can agree with them, you guys cannot. I’ll share my thoughts on this as well, but let’s just understand what he’s saying. So he’s saying the models are basically getting so strong now that we are at the risk of losing control of AI systems, misuse of AI for cyber attacks and bioteterrorism and serious economic disruption. The pace of how everything has evolved is probably because we have a lot of competition right now. Most of these labs at the moment are incentivized to create the top model to create the strongest model and at least at the moment there’s no

04:44 kind of strong guard rails to this competition. It’s just produce the best model. You have some guardrails from the US government but other than that compared to any other industry out there AI is new. We don’t have those guardrails yet and that is why the rate of development has increased so fast and these risks are kind of appearing to become more and more true. And then he says that along with my co-founders and employees, he’s grappled with this duality of risk and benefit since the beginning of Enthropic. This is something that we see with technology no matter what. Technology brings in a lot

05:16 of benefits, but it also brings in a lot of risk. And now he feels that the risk are kind of outshining the benefits at least at the moment and that is probably why we have this post. He has proposed three solutions and I’ll show you guys that. But before I do that, I want to also talk about one area where he called recursive self-improvement. So he says the first concern is that since roughly this summer, so this is kind of new, AI has been advancing drastically faster driven primarily by AI’s growing ability to build the next generation of AI. This

05:48 dynamic is called recursive self-improvement and is starting to happen across the industry including atropic as we and others have described. So basically it is pretty much clear that most of these models are now engaging in something called self-improvement recursive self-improvement and the risk with this is that if the models are kind of improving themselves it doesn’t give external parties even the labs who are creating these models insight into how they are improving what capabilities these models are adding onto themselves. You know what I mean? So that that is

06:20 why we are seeing the risk levels or the risk alarms across all these AI labs kind of go off at the moment. And then he says left unchecked it could outrun our ability to understand and control these systems. So these systems are making stronger systems of themselves and if you don’t kind of intervene with them you have no idea how strong or how capable these models are going to get and that is why we saw that and his concern he talks about the open AI hugging face incident then he talks about even you know enthropic had something similar happen and these examples are obviously at the moment

06:54 they’re not as significant like they haven’t caused that much problems but if more and more of these type of incidents were to occur it would obviously lead to more econom economic problems. It would lead to serious problems. Luckily, so far nothing like that has happened. But yeah, that that shows you how concerned he is. Then he also talks about embedded evaluators which is the number one solution which is each frontier AI company commits to giving ongoing employee-like access to a team of embedded thirdparty evaluators such as MER whose role is to verify adherance to safety practices and commitments report

07:28 incidents and help assess the alignment of not just completed AI models but training pipelines and processes. So having a neutral ground that’s evaluating your newest model that’s the solution number one solution. Number two is democratic coordination. Frontier AI companies within democratic countries coordinate to establish common safety standards as well as limits on the rate of unchecked AI progress. Now, this one, I don’t know how I feel about this and how feasible this would be because this would kind of limit competition. And if I know anything correctly about both of these CEOs, they’re all very

08:01 competitive. So, it’s interesting for me to say that they’re writing something like this and they’re obviously not agreeing on this because we saw even Elon Musk and Sam Alman only agree on point number one, not point number two. So, how feasible is this point? I don’t know. Number three is global coordination. The US and other democratic governments attempt to coordinate with authoritarian governments to the extent this is possible while taking seriously the challenges of verifying compliance. Yeah, this one also doesn’t seem as feasible compared to number one where at

08:31 least at the moment I can’t see myself the US and the Chinese labs coordinating together and you know pacing development because they Enthropic just literally dropped a report accusing them of distilling their model, stealing data from them. So I don’t know how that’s going to be possible but yeah I think some of this is idealistic. Some of this I it would be nice to have but I don’t know how feasible it would be. So in my personal opinion, I understand the concerns. These guys understand how fast these models are improving. They know more than us for sure because they actually have models that are more

09:03 capable already that are in play and we haven’t seen them as public users. Do I think that pacing AI development makes sense? I think so. But if pacing means like you, you know, you remove competition, you take more time, and if your intentions are actually genuine, then it makes sense. If your intentions are, hey man, like we can’t keep up at the moment. We can’t keep up with the competition. Let’s throw in the white flag and say pace AI development just to give ourselves some breathing rooms. Then no, I don’t think pacing makes

09:33 sense. But if your pacing intentions are genuine, then I think pacing AI development makes sense. But I don’t know. These are just my original thoughts. I still have to really think about how I feel about this. and if all of this is genuine and if some of these are not just, you know, because of the competition at play. But anyways, I’ll make a follow-up video when I have my thoughts in order. But at least at the moment, I don’t really know how I feel about this. I think I’m leaning towards agreeing with Daario, but who knows? Anyways, let me know what you guys think in the comments. Do you guys agree with

10:05 pacing AI development? Do you guys agree with slowing down AI development as he has laid it out? But that’s it for today’s video. Make sure you guys are subscribed to the channel. Follow our new newsletter as well at universeai.behive.com as well as subscribe to the main channel World of AI and support us on X by following the Universe of AIZ as well. Until then, I’ll see you guys in the next