Post-Training Generative Recommenders with Advantage-Weighted Supervised Finetuning

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Author: Keertana Chidambaram, Qiuling Xu, Ko-Jen Hsiao, Moumita Bhattacharya (*The work was done when Keertana interned at Netflix.) Introduction This blog focuses on post-training generative recommender systems. Generative recommenders (GRs) represent a new paradigm in the field of recommendation systems (e.g. HSTU, OneRec). These models draw inspiration from recent advancements in transformer architectures used for …

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When your AI browser becomes your enemy: The Comet security disaster

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Remember when browsers were simple? You clicked a link, a page loaded, maybe you filled out a form. Those days feel ancient now that AI browsers like Perplexity’s Comet promise to do everything for you — browse, click, type, think. But here’s the plot twist nobody saw coming: That helpful AI assistant browsing the web …

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DeepMind introduces AI agent that learns to complete various tasks in a scalable world model

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Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital environments, allowing them to master board games, control simulated robots and reliably tackle various other tasks. Yet most of these systems still depend on enormous amounts of direct experience—millions of trial-and-error interactions—to achieve even modest competence.

Workflow upscale/magnify video from Sora with Wan , based on cseti007

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📦 : https://github.com/lovisdotio/workflow-magnify-upscale-video-comfyui-lovis I did this ComfyUI workflow for Sora 2 upscaling 🚀 ( or any videos ) Progressive magnification + WAN model = crisp 720p output from low-res videos using Llm and Wan Built on cseti007’s workflow (https://github.com/cseti007/ComfyUI-Workflows). Open source ⭐ It does not work super good at keeping always consistent face for now …

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Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping

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We revisit scene-level 3D object detection as the output of an object-centric framework capable of both localization and mapping using 3D oriented boxes as the underlying geometric primitive. While existing 3D object detection approaches operate globally and implicitly rely on the a priori existence of metric camera poses, our method, Rooms from Motion (RfM) operates …

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Inside the AIPCon 8 Demos Transforming Manufacturing, Insurance, and Construction

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Editor’s Note: This is the second in a two-part series highlighting demo sessions from AIPCon 8, Palantir’s most recent customer conference. In part one, we shared how partners across healthcare, retail, defense, and beyond are leveraging Palantir Foundry and AIP to tackle their most pressing operational challenges. AIPCon 8’s afternoon demo sessions showcased groundbreaking implementations …

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Responsible AI design in healthcare and life sciences

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Generative AI has emerged as a transformative technology in healthcare, driving digital transformation in essential areas such as patient engagement and care management. It has shown potential to revolutionize how clinicians provide improved care through automated systems with diagnostic support tools that provide timely, personalized suggestions, ultimately leading to better health outcomes. For example, a …

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5 ad agencies used Gemini 2.5 Pro and gen media models to create an “impossible ad”

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The conversation around generative AI in the enterprise is getting creative.  Since launching our popular Nano Banana model, consumers have created 13 billion images and 230 million videos1. Enterprises can combine Gemini 2.5 Pro with our generative media models – Lyria, Chirp, Imagen, and Veo – to bring their ideas to life.  To us, generative …

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