Best Deals for New Year’s Resolutions: Sleep, Fitness, and More (2026)
Whether you’re hitting the gym or tracking your schedule, these discounts on WIRED-approved gear can help.
AdaBoN: Adaptive Best-of-N Alignment
Recent advances in test-time alignment methods, such as Best-of-N sampling, offer a simple and effective way to steer language models (LMs) toward preferred behaviors using reward models (RM). However, these approaches can be computationally expensive, especially when applied uniformly across prompts without accounting for differences in alignment difficulty. In this work, we propose a prompt-adaptive …
Crossmodal search with Amazon Nova Multimodal Embeddings
Amazon Nova Multimodal Embeddings processes text, documents, images, video, and audio through a single model architecture. Available through Amazon Bedrock, the model converts different input modalities into numerical embeddings within the same vector space, supporting direct similarity calculations regardless of content type. We developed this unified model to reduce the need for separate embedding models, …
Read more “Crossmodal search with Amazon Nova Multimodal Embeddings”
OpenAI Is Asking Contractors to Upload Work From Past Jobs to Evaluate the Performance of AI Agents
To prepare AI agents for office work, the company is asking contractors to upload projects from past jobs, leaving it to them to strip out confidential and personally identifiable information.
Stanford’s AI spots hidden disease warnings that show up while you sleep
Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for hidden patterns across the brain, heart, and breathing. It successfully forecast risks for conditions like cancer, dementia, and heart disease. The results suggest sleep contains early health …
Read more “Stanford’s AI spots hidden disease warnings that show up while you sleep”
Discrete spatial diffusion models data while obeying scientific principles
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI models. Unlike generative diffusion models, the team’s Discrete Spatial Diffusion approach honors scientific and physics principles. The team validated their model on two challenging scientific applications—subsurface rock microstructures and lithium-ion battery electrodes—with promising results.
I’m the Co-founder & CEO of Lightricks. We just open-sourced LTX-2, a production-ready audio-video AI model. AMA.
Hi everyone. I’m Zeev Farbman, Co-founder & CEO of Lightricks. I’ve spent the last few years working closely with our team on LTX-2, a production-ready audio–video foundation model. This week, we did a full open-source release of LTX-2, including weights, code, a trainer, benchmarks, LoRAs, and documentation. Open releases of multimodal models are rare, and …
Quantizing LLMs Step-by-Step: Converting FP16 Models to GGUF
Large language models like LLaMA, Mistral, and Qwen have billions of parameters that demand a lot of memory and compute power.
Scaling medical content review at Flo Health using Amazon Bedrock (Part 1)
This blog post is based on work co-developed with Flo Health. Healthcare science is rapidly advancing. Maintaining accurate and up-to-date medical content directly impacts people’s lives, health decisions, and well-being. When someone searches for health information, they are often at their most vulnerable, making accuracy not just important, but potentially life-saving. Flo Health creates thousands …
Read more “Scaling medical content review at Flo Health using Amazon Bedrock (Part 1)”
Why a Chinese Robot Vacuum Company Spun Off Not One but 2 EV Brands
The pivot doesn’t look out of place at CES, where Chinese electronics companies are increasingly applying their manufacturing prowess to new industries.