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The most popular blog posts about ai & machine learning on Hacker News. 3,237 posts.
Holoportation is a new type of 3D capture technology that allows high-quality 3D models of people to be reconstructed, compressed and transmitted anywhere in the world in real time. When combined with mixed reality displays such as HoloLens, this technology allows users to see, hear, and interact with remote…
OpenAI and Apple announce partnership to integrate ChatGPT into Apple experiences.
Arm introduces the Arm AGI CPU to power agentic AI infrastructure with rack-scale performance, efficiency and scalable compute for next-generation data centers.
A look at what current models can build, where they fail, and how EEBench tests the electronics in simulation.
From the Zed Blog: Alberto Fortin shares his honest reflection on the reality of using LLMs in production code and why he's taking a more measured approach.
Qwen offers comprehensive functionality spanning chatbot, image and video understanding, image generation, document processing, web search integration, tool utilization, and artifacts.
A practical OpenSCAD LLM benchmark comparing Codex 5.5 High, Claude Sonnet, Claude Opus, Cursor Composer, Google Antigravity, and ModelRift on a detailed Pantheon model.
Explore cutting-edge cryptographic techniques for machine learning on encrypted data. Discover how to process sensitive information without decryption, ensuring privacy and security.
Research from Anthropic on the faithfulness of AI models' chain-of-thought reasoning.
Posted by Koray Kavukcuoglu, Research Scientist, Google DeepMindAt DeepMind, we conduct state-of-the-art research on a wide range of algorithms, fr...
Claude Opus 5.5 vs GPT-6 Astra one-shot Invisible Cities by Italo Calvino in Three.js: AI design, UX, data visualization and explorable explanations.
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
A groundbreaking study led by Stanford Law School Professor Julian Nyarko reveals that law professors overwhelmingly prefer AI-generated answers to st
This report outlines the safety work carried out prior to releasing OpenAI o1 and o1-mini, including external red teaming and frontier risk evaluations according to our Preparedness Framework.
We have some very fast AI-generated kernels in pure CUDA-C without using libraries and DSLs such as CUTLASS and Triton. They are performing close to or in some cases even beating the standard expert-optimized production kernels shipped in PyTorch. Some of our highlighted results:
Kimi K2.7 Code, an open-weight model, is now generally available in GitHub Copilot. This is the first open-weight model offered as a selectable option in the Copilot model picker, giving…
YerevaNN /jɛɾɛvɑnˈɛn/ is a machine learning research center based in Yerevan, Armenia.
Update Oct. 31, 2024: We are committed to delivering a secure and trusted experience with Recall. We recently shared updates to the security and privacy architecture for Recall in a
Largest systematic review of AI benchmarks highlights need for clearer definitions and stronger scientific standards.
Today we’re releasing Laguna S 2.1, a significant step forward in our development of models that pursue longer horizon work and make effective use of reasoning.
I just got off one of the most surreal video calls of my life - a live video call with a candidate who was interviewing to become an L3 software engineer at Kapwing, our online video editing startup. The interview started extremely well - the candidate seemed like a clear
Technical report for Krea 2 (K2), our open-weights text-to-image foundation models for creative exploration. Release includes K2 Raw and K2 Turbo open weights.
Using new techniques for scaling sparse autoencoders, we automatically identified 16 million patterns in GPT-4's computations.
Posted by Peter Liu and Xin Pan, Software Engineers, Google Brain TeamEvery day, people rely on a wide variety of sources to stay informed -- from ...
Today, we’re excited to introduce Muse Spark 1.1, the latest model from Meta Superintelligence Labs and a significant upgrade from Muse Spark. Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with major gains in tool and computer use, coding, and multimodal understanding.
We built the heap, a 30 petabyte data storage cluster in downtown San Francisco, and spent under $500,000.
SUMMARY A hand-check of the 15,000 images in the widely used Udacity Dataset 2 found problems in 4,986 of them (33%), including thousands of unlabeled vehicles, hundreds of unlabeled pedestrians, dozens of unlabeled cyclists, and 217 completely unannotated images that contained real objects. Phantom annotations…
