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Nemotron-4-340B
Nemotron-4 340B, a family of models optimized for NVIDIA NeMo and NVIDIA TensorRT-LLM, includes cutting-edge instruct and reward models, and a dataset for generative AI training.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,331 posts.
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FLUX.1 Kontext [Dev] – Open Weights for Image Editing
Up until today, all capable generative image editing models were only available as proprietary tools.
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MonkeysPaw – A prompt-driven web framework in Ruby
Be careful what you wish for...
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The Kalman filter: helping chickens cross the road
The Kalman Filter. Helping Chickens Cross the Road. David Austin Grand Valley State University I was running some errands recently when I spied the Chicken Robot ambling down the sidewalk, then vee…
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An illustrated guide to automatic sparse differentiation
In numerous applications of machine learning, Hessians and Jacobians exhibit sparsity, a property that can be leveraged to vastly accelerate their computation. While the usage of automatic differentiation in machine learning is ubiquitous, automatic sparse differentiation (ASD) remains largely unknown. This post…
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Llamafile Returns
Mozilla.ai is adopting llamafile to advance open, local, privacy-first AI—and we’re inviting the community to help shape its future.
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HiPlot: High-dimensional interactive plots made easy
We are releasing HiPlot, a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data.
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Machine Learning: A Summary on Feature Engineering Using R Language
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Real time numbers recognition (MNIST) on an iPhone with CoreML
Learn how to build and train a deep learning network to recognize numbers (MNIST),how to convert it in the CoreML format to then deploy it on your iPhoneX and …
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Teaching Robots to Understand Semantic Concepts
Posted by Sergey Levine, Faculty Advisor and Pierre Sermanet, Research Scientist, Google Brain TeamMachine learning can allow robots to acquire com...
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Fuzzy Metaballs: Approximate differentiable rendering with algebraic surfaces
Shape From Silhouette Reconstruction from a short cell phone video, showing reconstructed masks.
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A New Angle on L2 Regularization
Deep neural networks have been shown to be vulnerable to the adversarial example phenomenon: all models tested so far can have their classifications dramatically altered by small image perturbations . The following predictions were for instance made by a state-of-the-art network trained to recognize celebrities :
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Google Research and Daydream Labs: Seeing eye to eye in mixed reality
Virtual reality lets you experience amazing things—from exploring new worlds, to painting with trails of stars, to defending your fleet to save the world. But, headsets …
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The (economic) AI apocalypse is nigh
Like you, I'm sick to the back teeth of talking about AI. Like you, I keep getting dragged into discussions of AI. Unlike you‡, I spent the summer writing a book about why I'm sick of writing about AI⹋, which Farrar, Straus and Giroux will publish in 2026.
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AI Joins Hunt for ET: Study Finds 8 Potential Alien Signals
A University of Toronto undergrad among an international team of researchers unleashing deep learning in the search for extraterrestrial civilizations.
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ChatGPT has no inner monologue or meta-cognition
Update 2025: The post below describes ChatGPT and similar LLMs as they functioned at the time of writing in 2023. More recent systems do have a behind-the-scenes “inner monologue” which enables them t
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When ChatGPT turns informant
The largely overlooked privacy risks of using AI apps that not only remember your conversations, but are capable of using these to reveal your deepest secrets to others
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Brave's AI assistant now integrates with PDFs and Google Drive
Today, we’re excited to announce we’ve completed another piece of the roadmap: Leo can now interact with PDFs and Google Drive files.
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Artificial Intelligence Generates Christmas Song from Holiday Image
Researchers from University of Toronto developed an AI system that creates and then sings a Christmas song based by analyzing the visual components of an uploaded image. With the help of CUDA…
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Why don't machine learning research agents overfit?
New research indicates that AI agents learn compressible models of data, which don’t have enough space to enable memorization.
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What reversing, modernising old games tells us about the economic impact of AI
Some observations from my War of the Lancehttps://en.wikipedia.org/wiki/WaroftheLance%28videogame%29 1989 Code Harness assisted modernisation WIP I gave Qwen-3....
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AI code review: Should the author be the reviewer?
AI reviewing AI-generated code - genius or pointless? Deep analysis of AI code review paradox + real data on why it actually works better than humans.
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Previewing the Model Hardware Standard
Anthropic is opening a research preview of the Model Hardware Standard (MHS), a shared specification for AI agents to safely operate physical devices, to a first group of scientific research labs and advanced manufacturers.