GPT 5.4 First Test Results

Today on the AI Daily Brief, GPT 5.4 is here, and these are both the first impressions from the broader world as well as my first test results. 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, AIUC, Blitsy, and PromptQL. To get an ad free version of the show, go to patreon.com/aidailybrief, or you can subscribe on Apple Podcasts. If you are interested in sponsoring the show, send us a note at sponsors@aidailybrief.ai. Lastly, as often happens, when we have a big new model release, no headlines today. We are just gonna spend all of our time on this exciting new model. So without any further ado, let's dive in. After a couple of weeks where mostly we've been talking about big macro issues like the Pentagon and Anthropic and all of that sort of thing, we finally have the cool fresh breeze of a new exciting model to test, and this one indeed is pretty exciting. Ethan Moloch tweeted, I think we've been through enough release cycles for models at this point to say that the latest model from OpenAI or Anthropic or Google is generally going to be the best model in the world upon release, with some jagged edges, until the next release by one of the big three. Now with that background, a different way to look at where we've been is that it's simply been OpenAI's turn. However, the expectations coming into g p t 5.4 were a little bit higher than they might have been for some of OpenAI's more recent releases. Ever since the release of g p t five, all the big model providers got the memo that trying to promise too much in each update rather than just being very incremental was a pretty scary proposition. That's what got us the five one, five two, five three, now five four kind of paradigm. But, of course, it's not just OpenAI doing that. Google and Anthropic are both on that same plan as well. And yet, even with that, 5.4 has had a little bit more hype and anticipation around it than some of the previous iterative models that we've gotten more recently. This was theoretically supposed to be the big outcome of OpenAI's Code Red, which was launched back in December. And what's more, the buzz for the last week or week and a half or so has been that this one was really meaningful. Enough so that it almost felt to me, like some of the more recent leaks to publications like The Information, were almost trying to tamp down on expectations. To take one example, rumors have been flying that there was a 2,000,000 token context window, whereas The Information's reporting from the last couple of days suggested it was just 1,000,000. Seemed to me to be a little bit of …