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How Anthropic teams use Claude Code
Teams across Anthropic use Claude Code for everything from debugging production issues and navigating unfamiliar codebases to building custom automation tools. Here's how.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,238 posts.
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Thoughts on a month with Devin
Our impressions of Devin after giving it 20+ tasks.
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AlphaGo's next move
With just three stones on the board, it was clear that this was going to be no ordinary game of Go.
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Deploying DeepSeek on 96 H100 GPUs
DeepSeek is a popular open-source large language model (LLM) praised for its strong performance. However, its large size and unique architecture, which uses Multi-head Latent Attention (MLA) and Mixture of Experts (MoE), require an advanced system for efficient serving at scale.
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Dopamine and Temporal Difference Learning
Learning and motivation are driven by internal and external rewards. Many of our day-to-day behaviours are guided by predicting, or anticipating, whether a given action will result in a positive (that is, rewarding) outcome. The study of how organisms learn from experience to correctly anticipate rewards has been a…
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Things Not Strings -- Google Launches Knowledge Graph
We hope this will give you a more complete picture of your interest, provide smarter search results, and pique your curiosity.
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How I keep up with AI progress
Last Updated: 30th June 2025
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Amazon Lex – Build Conversational Voice and Text Interfaces
While computers that talk are great, computers that listen and respond are even better! If you have used an Amazon Echo, you know how simple, useful, and powerful the Alexa-powered interaction model can be. Today we are making the same deep learning technologies (ASR – Automatic Speech Recognition NLU – Natural…
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SDXL Turbo: A Real-Time Text-to-Image Generation Model
SDXL Turbo is a new text-to-image mode based on a novel distillation technique called Adversarial Diffusion Distillation (ADD), enabling the model to create image outputs in a single step and generate real-time text-to-image outputs while maintaining high sampling fidelity.
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Zero-shot transfer across 93 languages
To accelerate the transfer of natural language processing (NLP) applications to many more languages, we have significantly expanded and enhanced our LASER (Language-Agnostic SEntence Representation…
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How to train your own large language models
From raw code to a model serving users: the data pipelines, training infrastructure, and evaluation work behind Replit’s language models.
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A novel approach to neural machine translation
Visit the post for more.
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AI and satellite imagery reveals expanding footprint of human activity at sea
Study reveals 75 percent of the world’s industrial fishing vessels are hidden from public view
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Learning more about Claude's mathematical capabilities
An unreleased Claude model improved the lower bound for the fraction of zeroes of the Riemann zeta function that satisfy the hypothesis, raising it from 41.6% to 67.2%.
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Google Colab will soon introduce AI coding features
Colab will soon add AI coding features like code completions, natural language to code generation and even a code-assisting chatbot.
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LaMDA: Google's New Conversation Technology
LaMDA adds pieces to one of the most tantalizing sections of the language puzzle: conversation.
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What is Realtalk’s relationship to AI? (2024)
An independent nonprofit research lab, whose mission is to enable universal literacy in a humane dynamic medium. This involves inventing a humane form of computing, and developing educational and community-based institutions in which a culture can grow. [more]
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Zamba2-7B
Zyphra is excited to release Zamba2-7B, a state-of-the-art small language model. At the 7B scale, we outperform the leading models of Mistral, Google’s Gemma and Meta’s Llama3 series in both quality and performance.
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GraphRAG is now on GitHub
GraphRAG, a graph-based approach to retrieval-augmented generation (RAG) that significantly improves question-answering over private or previously unseen datasets, is now available on GitHub. Learn more:
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OpenAI Five Benchmark: Results
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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LongCat-2.0, a large-scale MoE model with 1.6T total and 48B Active
1.6万亿总参大模型，训练全程由国产芯片完成
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Extending Van Gogh’s Starry Night with Inpainting
Digital inpainting can extend or repair photos, artwork, and other images. See how it works in the Wolfram Language, and try it yourself.
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AMD's MI300X Outperforms Nvidia's H100 for LLM Inference
There has been much anticipation around AMD's flagship MI300X accelerator. With unmatched raw specs, the pressing question remains: Can it outperform NVIDIA's Hopper architecture in real-world AI workloads? We have some exciting early results to share. For the past month, TensorWave and MK1 have worked closely to…
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Github Copilot Wants to Play Chess Instead of Code
When OpenAI announced GPT-3 & its public beta I was fascinated but didn’t have an API key. I played with everything free that was built with GPT-3. Naturally, when I heard about GitHub Copilot I signed up for the waitlist and a few months later, I got access!
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Will Amazon S3 Vectors kill vector databases or save them?
AWS S3 Vectors aims for 90% cost savings for vector storage. But will it kill vectordbs like Milvus? A deep dive into costs, limits, and the future of tiered storage.
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Dust: Pretraining Transformers Without Backpropagation
Deep learning has been built around backprop, the only credit assignment algorithm capable of training modern neural nets, including transformer-based language models. Backprop requires differentiability and produces first-order gradients, and deep learning’s architectures, optimizers, and hardware have co-evolved…
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A simple guide to fine-tuning Llama 2
Brev.Dev Instances Console
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Transformer: A Novel Neural Network Architecture for Language Understanding
Posted by Jakob Uszkoreit, Software Engineer, Natural Language Understanding Neural networks, in particular recurrent neural networks (RNNs), are n...
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