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Anadolu via Getty Images<\/p>\n
There\u2019s interesting news coming from Sam Altman\u2019s empire, a firm known for innovating as AI advances in hyperactive leaps and bounds. OpenAI has apparently figured out how to generate screenshots of imaginary GPT chats.<\/p>\n
In Its Own Window<\/p>\n
With ChatGPT Images 2.0, the model maker flexes on powerful renderings that illustrate not just \u201cpretty picture skills\u201d but also reasoning. Remember, it was only a few years ago that image genAI spat out incoherent text universally. Now, the image maker can show you a world that conforms to yours, because it\u2019s endowed with a much bigger context window. My colleague Alex Wissner-Gross wrote about this on X this way<\/a>:<\/p>\n \u201cOpenAI released ChatGPT Images 2.0, its first image model with thinking capabilities, able to search the web, generate multiple distinct images from one prompt, and audit its own outputs. GPT-Image-2 promptly swept every Image Arena leaderboard with a record +242 point Text-to-Image lead, and in a dizzying bit of recursion, OpenAI demoed the model generating photorealistic screenshots of ChatGPT conversations.\u201d<\/p>\n That\u2019s pretty impressive, but it\u2019s not the only type of recursive AI going on over there. Increasingly, OpenAI systems are self-referential. They contribute to the work that goes on at the company, which is focused on new models that will blow the prior ones out of the water.<\/p>\n AI Builds AI<\/p>\n It turns out there\u2019s a startup partially funded by OpenAI, among others, working on this kind of reality, where AI can design its own successors in a profoundly strange kind of regeneration, without too much human oversight at all. Think of the available footage of humanoid robots building humanoid arms and hands for their brethren.<\/p>\n Recursive Superintelligence is brand new<\/a>. Internal documentation explains its origins this way:<\/p>\n \u201cCo-founder Richard Socher brings deep natural language processing experience from Salesforce, while Tim Rockt\u00e4schel, a University College London professor and former Google DeepMind senior researcher, brings experience from the Genie world model project. The team also includes former OpenAI researchers Josh Tobin, Jeff Clune, and Tim Si, alongside talent from Meta and Google.\u201d<\/p>\n That\u2019s an impressive roster. What is the company for?<\/p>\n Recursive Superintelligence, which hasn’t officially launched yet, wants to build an AI system that keeps improving itself without any human involvement,\u201d writes Matthias Bastian at The Decoder<\/a>. That\u2019s quite a heady goal.<\/p>\n But there\u2019s more: in this wild context, with so many working on advancing AI platforms, autonomously or otherwise, there are also rumors of new OpenAI models about to drop, and they\u2019re not just based on nothing.<\/p>\n Codex Displays Unknown Models<\/p>\n There\u2019s a model picker inside of OpenAI\u2019s Codex, a drop-down list showing available options. Somebody \u201cleaked\u201d a screenshot of this, with model titles including \u201carcanine\u201d and \u201cglacier-alpha.\u201d<\/p>\n Importantly, both of these are unknown models, with no publicly available footprint. GPT, for its part, swears that any mention of them relies only on circumstantial evidence. But some of the humans close to these projects expect something to drop within a week. What do you expect from a model named \u201carcanine\u201d? It\u2019s hard to say. We don\u2019t have any specs.<\/p>\n What\u2019s clear, though, is that AI is, as a whole, still heating up. Companies are getting involved in this massive sea change, to be integrating AI into systems, or to be left behind in the shuffle. To that end, legacy migration is paramount.<\/p>\n