Why Fable 5.1 Is Worth the Upgrade

Anthropic has released its latest models, Fable 5.1 and Mythos 5.1. On the benchmarks, they are undeniably state of the art, outperforming everything else that exists on pretty much every category. Anthropic also claims that they've made major advances in the cost so that for many tasks including long running agentic tasks, Fable 5.1 should cost as much as 25 or even 40% less than the comparative task in Fable five. Initial responses are pretty good, although users are getting pretty varied mileage in terms of just how much the costs actually are and how far you could even get with Fable 5.1 given usage limits. Still the question comes up, as it will now forever with every new model, is this one good enough that it's worth switching to? Except I think that that's no longer the right question. Instead, the question should be, what can I use this model for? How does it fit in to my overall model stack? What can I do to take most advantage of it while recognizing whatever trade offs it comes with? That's what we're getting into in today's episode, so let's dive in. 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, Blitzy, 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. To learn more about sponsoring the show, send us a note at sponsors@aidailybrief.ai. Also, as I've been mentioning recently, our next set of executive agent leadership programs at Super Intelligent are coming up just after Labor Day. You can find out about those at training.besuper.ai. Again, you can find out all about that at training.bsuper.ai. We have kind of a dramatic set of headlines today. The first up is an update about OpenAI's forthcoming Astra. In a Tuesday blog post, OpenAI said that they now believe that Astra meets the critical cybersecurity capability threshold under their preparedness framework. In layman's terms, that means that the model is capable of finding and exploiting previously unknown security flaws without human guidance. In their previous assessment at the beginning of August, OpenAI believed that it was possible Astra would reach the threshold but weren't sure yet. Essentially, this is the same concern that saw Anthropic keep Mythos under lock and key earlier this year. Sharing some details on how they assessed Astra's capabilities, OpenAI shared that the model achieved a perfect 100% score on Exploit Bench. This benchmark evaluates a model's ability to develop exploits based on known vulnerabilities. OpenAI then took it a step further and developed their own internal version of the benchmark, consisting of 20 high severity vulnerabilities that were recently disclosed. The idea was to test whether the model was actually capable of creating novel exploits from scratch by using tests that couldn't be in the …