AI Companies Still Haven’t Delivered on Their Biggest Promises

In a recent podcast appearance, a prominent investor said that he had heard from multiple sources inside Anthropic that Dario Almodey and other leaders in that company felt that at some point in the future, they might be the only company left. It would just be them, governments, and the rest of us. Now these comments on that podcast kicked off quite a firestorm of discourse about Anthropic and their role in AI and what their beliefs actually meant for the industry. It also generated that rarest of phenomenon, an appearance on social media from Anthropic CEO, Dario Amede himself. In his response post, Dario discusses his real views on regulatory capture, what he thinks the real root of AI's trust problems with people are, and what he thinks could actually address those trust problems in the long run. So did people find it enlightening, convincing? Did anyone's opinions actually change? And what does the whole conversation say about the AI discourse and anthropic's place in it? The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. Alright, friends. Quick announcements before we dive in. First of all, thank you to today's sponsors, KPMG, Blitsy, Robots and Pencils, and HyperAgent. To get an ad free version of the show, go to patreon.com/aidailybrief, or you can subscribe on Apple Podcasts. And to learn more about sponsoring the show, send us a note at sponsors@aidailybrief.ai. We got ourselves quite a Monday here, so strap in. First up comes a new model and one that is sure to kick off a lot of debate, ZAI has dropped GLM 5.3. Now you might remember that when ZAI released GLM 5.2 in June, it helped kick off this new wave of concern that we're still in right now that Chinese open weight models were closing the gap. Now part of that was timing. The release came during the period where Fable five was locked behind government doors and OpenAI was delaying 5.6 for the same reason, but the feeling of Chinese models nipping on western heels compounded with the release of Kimmy k three the following month. Still, as has happened every other time, even acknowledging what these models are really good for, there has been a sense that they still are, ultimately, behind the frontier in pretty meaningful ways. So where does that leave us with GLM 5.3? Well, 5.3 is built on the same base model as 5.2, meaning it's not some massive multi trillion parameter model. Still, zai claims that they've made some big advances purely by scaling reinforcement learning. On coding, GLM five three scores 28.3% on terminal bench three point o. That puts it around five points behind the frontier with Fable five and GPT 5.6 Sol, but 11 points ahead of Kimi k three. The results on Deepsui were less impressive, scoring 66.9%, which puts the model half a point behind Kimi k three, three points behind Fable, and six …