The AI Daily Brief: Artificial Intelligence News and Analysis
Why AI Users Are Raving About GLM 5.2
22 Jun 2026
Transcript generated automatically by AI and may contain errors.
Chapter 1: What is the main topic discussed in this episode?
Today on the AI Daily Brief, why AI power users are raving about GLM 5.2. Before that in the headlines, Trump talks anthropic and Fable 5 return rumors swirl. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. All right, friends, quick announcements before we dive in.
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Chapter 2: What recent headlines are impacting AI discussions?
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Last note today, we're in this kind of weird period where there's so much headline news that I don't just want to be doing the Fable 5 update story every day for the main episode, but the consequence of that is that the normally five-minute headlines is extending to more like 10 or even 12 or 13 minutes. That won't be the case forever, but for now we got a little bit of a weird balance.
And so with that, let's dive into the slightly extended headlines. The theme of this headlines episode is separating out fact from innuendo in the attempt to understand where things actually are in this very confusing moment with AI. We're going to start with some comments that seem to some to shed light on the whole Fable 5 mythos situation.
And by the end of the headlines, see where it leaves us relative to whether we might be getting Fable 5 back this week. Now, over the weekend, many folks thought that they figured out some new old information that seemed to make the fable ban make a little bit more sense.
Specifically, they dug up reporting from The Economist from June 14th, in which The Economist wrote, On June 11th, Mark Warner, the vice chair of the Senate Intelligence Committee, said that General Joshua Rudd, who leads the National Security Agency and the Pentagon Cyber Command, had told him that mythos, quote, "...broke into almost all of our classified systems, not in weeks, but in hours."
Now, June 11th was the same Thursday that Amazon CEO Andy Jassy informed the administration of the jailbreak that became the center of the story. Once the quote resurfaced, ex-commentators were quick to jump on it. Commented Chubby, summing up the feelings of many, Wow, that changes the whole Fable 5 story completely.
University professor Pedro Domingos, who is typically not a fan of the current administration, commented, Mythos broke into almost all of the NSA's classified systems in hours, per its director. It would have been irresponsible to not impose export controls on it, and on Fable with its pathetically inadequate guardrails.
Now, on the one hand, part of why this is resonant is that it has a feel of truthiness to it, in that it would make way more sense if the White House was already keyed up about mythos slash fable being too powerful from some other evidence that they'd seen with this weird jailbreak report, just providing enough pretext for them to do what they had wanted to do in the first place, which is to disallow the model at this time.
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Chapter 3: What are the initial impressions of GLM 5.2?
Now, speaking of that, some suspected that being assigned to lead AI coding efforts rather than continue his work on AI for Science may have contributed to Jumper's exit. But still, to have two very, very high-profile leaders of DeepMind head one to Anthropic and one to OpenAI in a single week doesn't look great from the outside.
A few minutes after Jumper made his announcement, Leo at SynthWaved added some background about plummeting morale in DeepMind. They wrote, After the release of Fable 5 and with GPT 5.6 looming, the mood behind the scenes at Google DeepMind is increasingly one of frustration and broad discontent over the lab's perceived fall into a distant third or even fourth place.
A well-connected DeepMind employee told me, I can't blame Gnome for walking. He won't be the last big name to go either. Leo added that staff were demoralized by ZAI's GLM 5.2 overtaking Gemini 3.1 Pro on the Artificial Analysis Intelligence Index.
In addition, the release of Gemini 3.5 Flash and Gemini Omni earlier this year was received with little fanfare, and DeepMind has now gone four months without a flagship model release. Another source at DeepMind told Leo that Gemini 3.5 Pro is, quote, not the step change we need to be truly competitive in the race to AGI. That model is reportedly slated to be released next Tuesday, June 30th.
Leo added, The consensus seems to be that leadership at Google has all but conceded the race to Anthropic and OpenAI, and that only a big shakeup will propel them back to the heights of mid to late 2025. Another DeepMind source commented, We no longer have a frontier model in text, image, video, voice, or even vision.
If we can't release a real frontier model after over four months of work with all these resources, what are we doing? Now, Googler Logan Kilpatrick did offer some pushback, responding, everyone I know is hopeful and locked in. Lots of things in the pipeline that will hopefully pay off short and long term.
And once again, I will caution, this is all behind the scenes sources and reporting, meaning you have to take it with at least a little bit of a grain of salt. I think in general that we tend to make too much of any individual career move. For example, there was another story this weekend that Barrett Zoff was out at OpenAI just five months after rejoining.
And this is a guy that has now absolutely ping-ponged between OpenAI and Thinking Machines Labs and then back to OpenAI. And while, of course, any high-profile departure could be an indication of something going on in a lab, humans are complex creatures with lots and lots of reasons and motivations behind their decisions that we on the outside aren't going to be privy to.
What is true, however, and what is worth noting about the Google story is first, that two very high-profile leaders does start to make a pattern, and that two, the drop-off in where Google fits relative to at least the coding and enterprise side of the AI race is in 2026 absolutely notable.
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Chapter 4: How does GLM 5.2 compare to DeepSeek R1?
Trump knows AI is the foundation of America's future. Claude Fable back next week. Bet on it. Now, beyond that, we did get even more substantial rumors about what comes next.
Andrew Curran, who's one of the best follows for actual AI news and tends to have good sources when he reports something that hasn't been reported yet, wrote, "...a new, more capable version of Mythos has emerged from training. I don't know whether it will be called Mythos 5.1 or Mythos 6, or if Anthropic will keep it internal to accelerate further development, but it has arrived."
Then Andrew points out something important that we haven't discussed enough. He continues, stopping models like Fable 5 or Mythos 5 from being served to the public does nothing to slow down development. In fact, it probably speeds it up slightly by freeing up resources.
There are also no rules preventing the labs from continuing to advance capabilities while any current model is under embargo, or from keeping progress quiet until they choose to release it. None of them can afford to pause or slow down. We need only look at how capable GLM 5.2 is as proof of this.
To protect their business models, the frontier labs must continually train increasingly capable systems to stay ahead of open source and each other. The current continues to rage beneath the ice, and we continue to race towards our destination. Now, in addition to a potential Mythos 5.1 or 6 emerging in the labs, some found evidence that Sonnet 5 might be nearing release.
Leo at Synthwaved again wrote, The slug-clawed Sonnet 5 has appeared on an anthropic partner provider. Gonna be a busy week. Chubby responded, so we get Claude's Sonnet 5 instead of Fable 5 soon. Looks like a busy week, probably GPT 5.6 and Sonnet 5.
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Chapter 5: What are the significant advantages of GLM 5.2 for coding?
But hey, keep them coming. Leo responded, I suspect it'll actually be Fable 5 plus Sonnet 5 plus 5.6, but let's see. Now regarding GPT 5.6, some are reporting that they're already seeing the model show up in Codex, implying that we're getting pretty close. A French X user called Mirochill posted a playable demo of a Pokemon game supposedly one-shotted by GPT 5.6.
Meanwhile, within OpenAI, Codex lead Thibaut has begun the vague posting. He wrote, We built the Codex app with models that were okay-ish at front-end.
Chapter 6: How does GLM 5.2 perform in website design compared to Fable 5?
Wait to see what we can do when we finally improve front-end capabilities significantly in our models. That day will be something. Scientist Daria Anutmaz, who typically gets early access to models, joined in the vague posting, writing, People were flabbergasted by Fable 5, rightly so. But those who think this will remain the best AI for a long time will soon be proven wrong.
When some thought he was just stating the obvious, Anutmez urged them to read between the lines, adding, Now I think Andrew Curran's visual metaphor of the current raging under the ice is a good one. And what's important to note with all these rumors is that even if we are in line for a big week right now, there is so much that could happen that could change that path.
Still, if you want to let yourself get excited about anything, my fellow builders out there I have no doubt will be very excited to see that the way that the OpenAI team seems to be teasing the next models is them being better at front-end. We should be so lucky. For now though, that's going to do it for this Extended Headlines. Next up, the main episode.
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Chapter 7: What are the cost implications of using GLM 5.2?
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Chapter 8: What future trends should businesses consider in AI?
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Last week, in the wake of Fable 5 going offline, one of the major topics of conversation on this show was the new models and new model approaches that were rushing in to fill the gap, not only trying to win people's usage, but also having a side effect of making people think differently about how to construct their AI stack.
Now, part of what has made this Fable 5 moment so resonant and important among businesses is that already the changes in the cost paradigm, based on the shift to agentic AI and magnified by the broader compute shortage, were already causing companies to look around and ask whether there would be different approaches than just firing up the most state-of-the-art model for every single AI use case.
Now, in those conversations last week, we mentioned the first impressions of GLM 5.2. And they were good. But we have now had a weekend pass where people actually got their hands on the thing. And the stature of the model and people's belief about its implications has done nothing but grow.
So today we're going to talk a little bit about those second impressions of GLM 5.2 and explore whether it's something that you should actively consider. Now, the analogy that everyone is plumbing for is the deep seek R1 moment. Yuchen Jin writes, looking at my timeline, it feels like GLM 5.2 is having its deep seek R1 moment.
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