How AI Is Upending Politics, Tech, the Media, and More
At WIRED’s AI Power Summit on Monday, industry executives and officials discussed the impact artificial intelligence is having on every corner of society—and where it goes from here.
At WIRED’s AI Power Summit on Monday, industry executives and officials discussed the impact artificial intelligence is having on every corner of society—and where it goes from here.
To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the generated data helps solve the issue of quantity, it may not always have good quality, and assessing its quality has been overlooked.
https://huggingface.co/bytedance-research/UMO https://arxiv.org/pdf/2509.06818 Bytedance have released 3 days ago their image editing/creation model UMO. From their huggingface description: Recent advancements in image customization exhibit a wide range of application prospects due to stronger customization capabilities. However, since we humans are more sensitive to faces, a significant challenge remains in preserving consistent identity while avoiding identity confusion …
As generative AI becomes more widespread, it’s important for developers and ML engineers to be able to easily configure infrastructure that supports efficient AI inference, i.e., using a trained AI model to make predictions or decisions based on new, unseen data. While great at training models, traditional GPU-based serving architectures struggle with the “multi-turn” nature …
Read more “Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer”
We found the best protein powders that won’t make your shake taste like drywall.
https://arxiv.org/abs/2509.07295 “We introduce Reconstruction Alignment (RecA), a resource-efficient post-training method that leverages visual understanding encoder embeddings as dense “text prompts,” providing rich supervision without captions. Concretely, RecA conditions a UMM on its own visual understanding embeddings and optimizes it to reconstruct the input image with a self-supervised reconstruction loss, thereby realigning understanding and generation.” https://huggingface.co/sanaka87/BAGEL-RecA …
Read more “RecA: A new finetuning method that doesn’t use image captions.”
Celtic languages — including Cornish, Irish, Scottish Gaelic and Welsh — are the U.K.’s oldest living languages. To empower their speakers, the UK-LLM sovereign AI initiative is building an AI model based on NVIDIA Nemotron that can reason in both English and Welsh, a language spoken by about 850,000 people in Wales today. Enabling high-quality …
Read more “Reaching Across the Isles: UK-LLM Brings AI to UK Languages With NVIDIA Nemotron”
Five years on, the luxury watch brand’s bright idea is still being copied.
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Retrieval Augmented Generation (RAG) is a fundamental approach for building advanced generative AI applications that connect large language models (LLMs) to enterprise knowledge. However, crafting a reliable RAG pipeline is rarely a one-shot process. Teams often need to test dozens of configurations (varying chunking strategies, embedding models, retrieval techniques, and prompt designs) before arriving at …
Read more “Automate advanced agentic RAG pipeline with Amazon SageMaker AI”