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OpenAI’s new Astra model will use “recurrent depth,” a technique that allows the model to operate outside of the sequential thinking that characterizes most reasoning models.

The internet has a trust problem, and it’s not just because social media feeds are filling up with AI slop. AI-generated text and images are now making their way into job applications, product reviews, and even insurance claims, leaving platforms and users alike scrambling to figure out what’s real. A handful of startups have cropped up in the past couple of […]

As companies scale, the technology supporting operations can become a liability just as quickly as it becomes an asset. Disconnected systems, site-specific tools, spreadsheets, and manual workarounds can create data silos that make it harder to spot problems early, coordinate responses, and make decisions with confidence. For Jabil, a global manufacturing company with more than…

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. AI models flub these intelligence tests. Can you fare any better? Puzzles and games have always been central to AI development. The term “machine learning” was popularized in a 1959 article…

arXiv:2609.00002v1 Announce Type: new Abstract: World models enable language-model agents to predict environment dynamics and plan before acting. In text environments, the model must learn symbolic action effects from serialized state descriptions, but the role of serialization structure remains underexplored. We present HyperWorld, a controlled study of state serialization for learned textual world models. We compare raw observations with three symbolic serializations of the same ground-truth state: independent sentences, pairwise triples, and entity-centered hyperedge units that group multiple related facts around entities and relations. All variants use the same training objective: given a state and an action, predict symbolic effects or judge the action infeasible. Across model scales, data budgets, and in-distribution and out-of-distribution test worlds, hyperedge serialization gives the clearest gains for 0.5B--1.5B models and under distribution shift. Larger models reduce the gap, and pairwise triples can match or slightly exceed hyperedges on in-distribution exact match, but hyperedges achieve the strongest out-of-distribution fact F1 and the best small-to-medium scale trad

Google added Gemini 3.8 Flash to AI Mode's model menu on release day. The post Google Adds Gemini 3.8 Flash To AI Mode appeared first on Search Engine Journal .

Publishing a format is not the same as possessing the knowledge. Bill Hunt on why knowledge architecture outlasts every AI protocol. The post The Next AI Protocol Won’t Save Your SEO Strategy appeared first on Search Engine Journal .

Google says a new Gemini system that inspects frames, audio, and transcripts on demand will power Ask YouTube on video watch pages. The post Google To Bring New Video Understanding Tech To Ask YouTube appeared first on Search Engine Journal .

AI’s future depends on the network beneath.

AI inference economics is reshaping enterprise infrastructure strategies.