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Measuring political bias in Claude
We introduce and open-source an automated evaluation for political even-handedness, testing six models across 1,350 prompt pairs.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,242 posts.
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PaliGemma: Open-Source Multimodal Model by Google
Learn how to use PaliGemma, a vision language model developed and released by Google that has multimodal capabilities.
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Meta announces LlamaCon, its first generative AI dev conference on April 29
We’re here with a couple save the dates to reserve some space on your calendars.
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Critical vulnerability in AI coding platform Base44 allowing unauthorized access
New discovery underscores security implications of AI-powered development and the rise of Vibe Coding Platforms.
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Rust-lang/rust is adopting an LLM policy
Want to follow along with Rust development? Curious how you might get involved? Take a look!
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Deploying Transformers on the Apple Neural Engine
An increasing number of the machine learning (ML) models we build at Apple each year are either partly or fully adopting the Transformer…
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Alignment is not free: How model upgrades can silence your confidence signals
Delegate investigative work to AI agents, from L1 to L3 reviews, with consistency, auditability and traceability.
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YOLOv5 on CPUs: Sparsifying to Achieve GPU-Level Performance
From live events to hands-on product demos to deep technical research, see what we're doing with AI at Red Hat.
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Translatotron: An End-to-End Speech-to-Speech Translation Model
Posted by Ye Jia and Ron Weiss, Software Engineers, Google AI Speech-to-speech translation systems have been developed over the past several decade...
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Open Weights isn't Open Training
How many monkey-patches does it take to post-train a trillion parameter model?
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Speaking without vocal cords, thanks to a new AI-assisted wearable device
The adhesive neck patch is the latest advance by UCLA bioengineers in speech technology for people with disabilities.
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QVQ-Max: Think with Evidence
QWEN CHAT GITHUB HUGGING FACE MODELSCOPE DISCORD Introduction Last December, we launched QVQ-72B-Preview as an exploratory model, but it had many issues. Today, we are officially releasing the first version of QVQ-Max, our visual reasoning model. This model can not only “understand” the content in images and videos…
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Train your own image classifier with Inception in TensorFlow
Posted by Jon Shlens, Senior Research ScientistAt the end of last year we released code that allows a user to classify images with TensorFlow model...
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Facebook AI Research Open Sources fastText
At Meta, research permeates everything we do. We believe the most interesting research questions are derived from real world problems.
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Google Tensor SoC debuts on the new Pixel 6 this fall
Google Tensor is our first custom-built SoC specifically for Pixel phones, and it will power the Pixel 6 and Pixel 6 Pro later this fall.
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A stateful browser agent using self-healing DOM maps
Most browser agents forget what they’ve done. This one remembers, adapts, and learns, redefining how AI agents get work done.
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OpenAI acquires Global Illumination
The entire team has joined OpenAI.
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PP-YOLO Surpasses YOLOv4 – State-of-the-art object detection techniques
Baidu publishes PP-YOLO and pushes the state of the art in object detection research by building on top of YOLOv3, the PaddlePaddle deep learning framework, and cutting edge computer vision research.
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Why OpenCV uses BGR color space (2015)
Learn the historical reason OpenCV stores color images in BGR order instead of RGB, from early camera formats to compatibility decisions.
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New Method for Compressing Neural Networks Better Preserves Accuracy
Get the latest news and features about smart home, Alexa Built-in, and Alexa Gadgets.
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How to put machine learning models into production
The goal of building a machine learning model is to solve a problem, and a machine learning model can only do so when it is in production and actively in use by consumers. As such, model deployment is as important as model building.
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LLM-D: Kubernetes-Native Distributed Inference
Introducing llm-d: Kubernetes-native distributed LLM inference with KV-cache routing, disaggregated serving, and SOTA performance per dollar. Built on vLLM.
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Context Engineering for AI Agents: Lessons
This post shares the local optima Manus arrived at through our own "SGD". If you're building your own AI agent, we hope these principles help you converge faster.
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What if AI is a failed dream?
A collection of thoughts, ideas and unsolicited opinion from Made by Many: articles, reflections, talks and interviews from the people doing the work.