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Text-to-image comparison. FLUX.1 Krea [dev] Vs. Wan2.2-T2V-14B (Best of 5)

Note, this is not a “scientific test” but a best of 5 across both models. So in all 35 images for each so will give a general impression further down. Exciting that text-to-image is getting some love again. As others have discovered Wan is very good as a image model. So I was trying to …

STIV: Scalable Text and Image Conditioned Video Generation

The field of video generation has made remarkable advancements, yet there remains a pressing need for a clear, systematic recipe that can guide the development of robust and scalable models. In this work, we present a comprehensive study that systematically explores the interplay of model architectures, training recipes, and data curation strategies, culminating in a …

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America’s AI Action Plan

Working Together to Accelerate AI Adoption On July 23, 2025, the White House unveiled “Winning the AI Race: America’s AI Action Plan,” a bold roadmap to secure US leadership in artificial intelligence by driving innovation, building new critical infrastructure, and refocusing global diplomacy. This much-needed plan, backed by President Trump’s executive orders, outlines over 90 federal …

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Introducing AWS Batch Support for Amazon SageMaker Training jobs

Picture this: your machine learning (ML) team has a promising model to train and experiments to run for their generative AI project, but they’re waiting for GPU availability. The ML scientists spend time monitoring instance availability, coordinating with teammates over shared resources, and managing infrastructure allocation. Simultaneously, your infrastructure administrators spend significant time trying to …

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A deep dive into code reviews with Gemini Code Assist in GitHub

Imagine a code review process that doesn’t slow you down. Instead of a queue of pending pull requests, you have an intelligent assistant that provides a near-instant, comprehensive summary of every change. It flags potential bugs, suggests improvements based on best practices, and frees up your human reviewers to focus on the complex architectural decisions …

A thermodynamic approach to machine learning: How optimal transport theory can improve generative models

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics that deals with constantly changing systems, explains why optimal transport theory, a mathematical framework for the optimal change of distribution to reduce cost, makes generative models optimal. As nonequilibrium thermodynamics has yet to be fully …