Filtered data stops openly-available AI models from performing dangerous tasks, study finds

Researchers from the University of Oxford, EleutherAI, and the UK AI Security Institute have reported a major advance in safeguarding open-weight language models. By filtering out potentially harmful knowledge during training, the researchers were able to build models that resist subsequent malicious updates—especially valuable in sensitive domains such as biothreat research.

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UltraReal + Nice Girls LoRAs for Qwen-Image

TL;DR — I trained two LoRAs for Qwen-Image: Lenovo: my cross-model realism booster (I port this to every new base; Chroma version coming soon). – https://huggingface.co/Danrisi/Lenovo_Qwen/tree/main Nice Girls: focused on natural, pretty women. – https://huggingface.co/Danrisi/adorablegirls_qwen/tree/main I’m still feeling out Qwen’s generation settings, so results aren’t peak yet. Updates are coming—stay tuned. I’m also planning an …

Misty: UI Prototyping Through Interactive Conceptual Blending

UI prototyping often involves iterating and blending elements from examples such as screenshots and sketches, but current tools offer limited support for incorporating these examples. Inspired by the cognitive process of conceptual blending, we introduce a novel UI workflow that allows developers to rapidly incorporate diverse aspects from design examples into work-in-progress UIs. We prototyped …

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Accelerating Video Quality Control at Netflix with Pixel Error Detection

By Leo Isikdogan, Jesse Korosi, Zile Liao, Nagendra Kamath, Ananya Poddar At Netflix, we support the filmmaking process that merges creativity with technology. This includes reducing manual workloads wherever possible. Automating tedious tasks that take a lot of time while requiring very little creativity allows our creative partners to devote their time and energy to what …

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Demystifying Amazon Bedrock Pricing for a Chatbot Assistant

“How much will it cost to run our chatbot on Amazon Bedrock?” This is one of the most frequent questions we hear from customers exploring AI solutions. And it’s no wonder — calculating costs for AI applications can feel like navigating a complex maze of tokens, embeddings, and various pricing models. Whether you’re a solution …

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Taming the stragglers: Maximize AI training performance with automated straggler detection

Stragglers are an industry-wide issue for developers working with large-scale machine learning workloads. The larger and more powerful these systems become, the more their performance is hostage to the subtle misbehavior of a single component. Training the next-generation large-scale models requires a new class of supercomputer, built by interconnecting tens of thousands of powerful accelerators. …