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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,240 posts.
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NaturalSpeech 2: Zero-shot speech and singing synthesizers
Kai Shen*, Zeqian Ju*, Xu Tan*, Yanqing Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian
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The Smart TV in Your LivingRoom Is a Node in the AIScraping Economy
In this post we look under the hood of BrightData's SDK and how it turns ordinary consumer TVs into exit nodes of an enormous commercial, residential proxy network leveraged by the AI industry to scrape web data and train language learning models.
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Data exfiltration from Writer.com with indirect prompt injection
Authors: PromptArmor and Kai Greshake
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Gemini 4 Argon for Robotics
Discover Gemini 4 Argon for robotics: leading the ERQA benchmark with physical reasoning, zero-shot control, Real2Sim, and agentic workflows.
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Behind the scenes of Sound ID in Merlin – Identify birds using your phone (2021)
What is Sound ID? Today we announced one of our biggest breakthroughs—Sound ID, a new feature in the Merlin Bird ID app—and a major leap forward in sound identification and machine learning
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Claude Cowork and chat are now one Claude
Starting today, Claude Cowork and chat are one Claude, rolling out on Pro, Max, and Ultra plans. Hand over the task and Claude does the work. You keep the final say.
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One month coding with GLM 5.3 Flash
Reporting on 2B tokens of AI usage and what shapes model selection and cost
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AI models need a virtual machine
Neural networks are more useful when placed in a suitable, specialized environment.
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Mistral 7B Fine-Tune Optimized
The OpenPipe platform has migrated to Weights & Biases and CoreWeave. Browse migration details and the OpenPipe technical archive.
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Using computer vision to help win $1M in Mountain Dew's Super Bowl contest
SUMMARY Mountain Dew's Super Bowl LV ad challenged viewers to count the exact number of bottles in the commercial for a $1 million prize, and this post builds an object detection model to assist with that count. The 30-second video was sampled at three frames per second in Roboflow to produce 92 annotated training…
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Deep Learning for Siri’s Voice
Siri is a personal assistant that communicates using speech synthesis. Starting in iOS 10 and continuing with new features in iOS 11, we…
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OpenAI releases larger GPT-2 model
We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training.
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Online speech recognition with wav2letter anywhere
We have open-sourced wav2letter@anywhere, an inference framework for online speech recognition that delivers state-of-the-art performance.
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Google’s Project Suncatcher to put ML infrastructure in space
Learn about Project Suncatcher, how we’re testing hardware survival for space, designing cooling systems for AI chips, and more.
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How the terrorist group Boko Haram uses frontier AI
The Cambridge Programme on AI Science & Policy (CASP) is an interdisciplinary research programme on frontier AI at the University of Cambridge.
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New Vulnerability in GitHub Copilot, Cursor: Hackers Can Weaponize Code Agents
Pillar Security researchers have uncovered a dangerous new supply chain attack vector we've named "Rules File Backdoor." This technique enables hackers to silently compromise AI-generated code by injecting hidden malicious instructions into seemingly innocent configuration files used by Cursor and GitHub Copilot—the…
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The Mojo language (by Modular, now Qualcomm) is now open-source
Four and a half years ago, Modular made a bet: AI would not run on one kind of silicon forever, and the software stack would need to be rearchitected for a world of heterogeneous hardware and increasingly complex AI workloads.
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We gave terabytes of CI logs to an LLM
We gave our AI agent a SQL interface to billions of CI log lines in ClickHouse. How we ingest, store, and query 1.5 billion log lines a week.
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Predicting Stock Performance with Natural Language Deep Learning
We developed an NLP deep learning model using a one-dimensional convolutional neural network to predict future stock market performance of companies using Azure ML Workbench and Keras with open source for you to replicate.
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OpenXLA Is Available Now
The latest news from Google on open source releases, major projects, events, and outreach programs for early career developers.
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StableStudio, an open-source release of DreamStudio
Stability AI releases StableStudio, an open-source text-to-image consumer application that emphasizes the company's commitment to advancing open-source development within the AI ecosystem. With StableStudio, users can help shape the future of generative AI through community-driven development and lo
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Discovering Cryptographic Weaknesses with Claude
Anthropic researchers find weaknesses in cryptographic algorithms with Claude Mythos Preview
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The upcoming GPT-3 moment for RL
How RL training will scale up to thousands of diverse environments, similar to how pretraining scaled up text corpora.
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Image Compression with Neural Networks
Posted by Nick Johnston and David Minnen, Software EngineersData compression is used nearly everywhere on the internet - the videos you watch onlin...
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Opening up 'Zero-Knowledge Proof' technology to promote privacy in age assurance
Today, we open sourced our Zero-Knowledge Proof (ZKP) libraries, fulfilling a promise and building on our partnership with Sparkasse to support EU age assurance.
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AI may be making us think and write more alike
Large language models may be standardizing human expression and subtly influencing how we think, says study led by USC Dornsife researcher
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Once Claude can measure something, it can make it faster
Inside our performance sprint: the benchmarks Claude built, the loop each Slack thread ran, and the guardrails that let us ship 3,000 changes safely.