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Google-Landmarks: A New Dataset and Challenge for Landmark Recognition
Posted by André Araujo and Tobias Weyand, Software Engineers, Google ResearchImage classification technology has shown remarkable improvement over ...
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,242 posts.
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Learn as you search (and browse) using generative AI
New updates to Search Generative Experience (SGE) help people easily learn new things and understand key concepts while searching online.
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Omnilingual ASR: Advancing automatic speech recognition for 1600 languages
We’re introducing Meta Omnilingual Automatic Speech Recognition, a suite of models providing automatic speech recognition capabilities for over 1,600 languages.
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Autocompletion with Deep Learning
We've put together an index of testing terms and articles, covering many of the basics of testing and definitions for common searches.
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Using ‘radioactive data’ to detect if a data set was used for training
Facebook AI has developed a new technique to mark the images in a dataset, so that researchers can then determine if a particular machine learning model...
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OpenAI and Microsoft
We’re working with Microsoft to start running most of our large-scale experiments on Azure.
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Claude Is Not a Compiler
Or: the difference between vibe-coding and vibe-engineering.
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Launching the Claude Partner Network
We’re launching the Claude Partner Network, a program for partner organizations helping enterprises adopt Claude.
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Benchmarking coding agents on Databricks' multi-million line codebase
Databricks shares results from its internal coding benchmark, evaluating coding agents on a multi-million line codebase to optimize engineering cost and performance.
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Multimodal Neurons in Artificial Neural Networks
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that CLIP and similar…
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Workspace Agents in ChatGPT
Workspace agents in ChatGPT are Codex-powered agents that automate complex workflows, run in the cloud, and help teams scale work across tools securely.
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Modular Manifolds
A geometric framework for co-designing neural net optimizers with manifold constraints.
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AlphaQubit: AI to identify errors in Quantum Computers
AlphaQubit is an AI-based decoder that identifies quantum computing errors with state-of-the-art accuracy.
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Google announces Sec-Gemini v1 a new experimental cybersecurity model
Today, we’re announcing Sec-Gemini v1, a new experimental AI model focused on advancing cybersecurity AI frontiers. As outlined a year ago, defenders face the daunting t…
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Self-hosting Kimi K3: 20% more hardware cost, 20% better task resolution
We gave 64 real coding tasks to self-hosted GPUs, rented hardware and commercial APIs. Owning a box lands in the same cost ballpark as renting one.
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Mistral Agents
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
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Open-sourcing circuit tracing tools
Our open-source tools generate attribution graphs showing how language models reach decisions.
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Gym Retro
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Update on Llama adoption
Llama models are approaching 350 million downloads to date, and they were downloaded more than 20 million times in the last month alone, making Llama the leading open source model family.
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The GPT Store
We’re launching the GPT Store to help you find useful and popular custom versions of ChatGPT.
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Using thousands of AI agents to uncover new leads in biological data
See how OpenAI, PerturbAI, and Scripps Research used distributed AI agents to uncover promising research leads in data from millions of brain cells.
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GPT‑5.5 Bio Bug Bounty
Details about the OpenAI Bio Bounty program
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Detecting AI agent use and abuse
The key question is: Can you detect AI agent traffic on your application today? We tested multiple AI agent toolkits across high-traffic consumer sites, and the results were clear—legacy detection techniques (CAPTCHAs, IP blocking, user-agent filtering) are largely ineffective. Here’s what we found.
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GPT-2: 6-Month Follow-Up
We’re releasing the 774 million parameter GPT-2 language model after the release of our small 124M model in February, staged release of our medium 355M model in May, and subsequent research with partners and the AI community into the model’s potential for misuse and societal benefit. We’re also releasing an…
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The security paradox of local LLMs
Local LLMs prioritize privacy over security. Our research reveals a 95% backdoor injection success rate.