The Most Important AI News This Week Is Getting Overlooked

We got a lot of notable model releases this week. Muse jumped back to the frontier with Wonder and Wonderful. Google actually released Gemini IV Argon. And yet it seems like the two little unassuming models that were announced on Thursday that are the subject of today's show the ones that are getting the least fanfare of all of these might actually be the most significant, at least when it comes to the practical reality of using AI inside businesses. 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, Harbor, Granola, and Blitzy. To get an ad free version of the show, go to patreon.com/aideallybrief or you can subscribe on Apple Podcasts. And to learn more about sponsoring the show, send us a note at sponsorsaidailybrief dot ai. One more shoutout: we have just announced the latest Super Intelligent Premium Training Program. We are soon kicking off our first AI Champions Bootcamp. This builds not only your skills to use AI but to support adoption across your enterprise. It's anchored by six live sessions and has a ton of value built in. You can find a link to it from the top of the AI Daily Brief website. Anthropic has begun the process of embedding third party safety evaluators into their organization. Last month, as part of calls to pace the frontier, Dario Ahmaday pledged to integrate third party evaluators into Anthropic, giving them staff level access to monitor safety procedures and reports on incidents. In an update published on Thursday, Anthropic said that they've now integrated the first batch, which is, of course, a six person team from METER. They said the METER folks have employee like access, which is their term, including use of company computers, office space, and use of internal tooling. Anthropic added that they're working with SecureBio and Accenture as evaluators and are in early discussions with other organizations, including Hugging Face. Explaining why they support this model of safety monitoring, Anthropic wrote: We want to be publicly accountable for the decisions we're making, but we can't publicly share all the information relevant to our safety work. Some of it could be useful to malicious actors, or is commercially sensitive like computer training information. Instead, we're giving third party evaluators deep access to our information, and are having them share evidence and reasoned conclusions about the risks involved in building our models. We aim to close the gap between what evaluators understand about a Frontier AI company's systems, and what the company itself understands. Now, as this safety regime gets rolled out, there are two big areas of discussion and, frankly, criticism that are worth understanding. The first is the independence of the outside safety evaluators. Unlike what some have said, Anthropic claims they do not fund METER. And frankly, the web of connections is a bit beyond …