Monster Mash: A Sketch-Based Tool for Casual 3D Modeling and Animation
Posted by Cassidy Curtis, Visual Designer and David Salesin, Principal Scientist, Google Research 3D computer animation is a time-consuming and hig...
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,242 posts.
Posted by Cassidy Curtis, Visual Designer and David Salesin, Principal Scientist, Google Research 3D computer animation is a time-consuming and hig...
GitLab AI-powered security feature to leverage Google Cloud's foundation models to empower customers to identify and remediate vulnerabilities more efficiently while maintaining privacy standards...
Real token cost of frontier models on the same TypeScript input - Claude Fable 5.1, Opus 5, GPT-5.6, Gemini 3.7 Flash. Tokenizer counts, effective cost.
In a new industry-standard benchmark, a cluster of 3,584 H100 GPUs at cloud service provider CoreWeave completed a massive GPT-3-based benchmark in just 11 minutes.
In this work, we study how Tencent implements image filtering on WeChat. We found that Tencent implements realtime, automatic censorship of chat images on WeChat based on what text is in an image and based on an image’s visual similarity to those on a blacklist. Tencent facilitates this realtime filtering by…
MIRI is releasing a paper introducing a new model of deductively limited reasoning: “Logical induction,” authored by Scott Garrabrant, Tsvi Benson-Tilsen,
Most teams are curious about fine-tuning and how it might help their AI products, but they don't know what to expect from the process, how to measure success, or where to start.
We’ve trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting performance relative to outcome supervision, process…
Interactive C++ for Data Science In our previous blog post “Interactive C++ with Cling” we mentioned that exploratory programming is an effective way to reduce the complexity of the problem. This post will discuss some applications of Cling developed to support data science researchers.
Text-to-speech systems across the industry typically rely on GPUs or specialized hardware to generate state-of-the-art speech in real-time production. We solved core efficiency challenges to process one second of audio in 500 milliseconds — using only CPUs.
Cynthia Rudin becomes second recipient of AAAI Squirrel AI Award for pioneering socially responsible AI
Access 15 terapixels of Prague's detailed imagery for your research, for computer vision, photogrammetry, point cloud generation, 3D modeling and more!
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
Hetzner has launched an experimental LLM inference API. I tested its Qwen model—and have a few guesses about where the product could go next.
Notable organizations disclosed ~1,300 high- and critical-severity CVEs in June 2026, roughly 3.5× the pre-Mythos monthly record. Epoch AI's breakdown of vulnerability disclosures following Anthropic's Project Glasswing.
From the Zed Blog: Ted Nelson specified the docuverse sixty years ago. The technology finally arrived, and so did its native users.
Updates to the Gemini API File Search tool makes building efficient, multimodal file retrieval systems easier for developers.
There have been several releases of CUDA.jl in the past couple of months, with many bugfixes and many exciting new features to improve GPU programming in Julia: CuArray now supports isbits Unions, CUDA.jl can emit debug info for use with NVIDIA tools, and changes to the compiler make it even easier to use the latest…
Open AI models used for a wide range of scientific applications, including accelerating the design of therapeutic molecules.
Monarch Mixer: Revisiting BERT, Without Attention or MLPs
LLMs seem surprisingly good at many things. So much so that not a week goes by without someone coming up with yet another use-case for this technology, often to solve tasks quickly that traditionally took a non-trivial amount of human work to complete. Today’s example was Brendan Dolan-Gavitt’s remarkable experiment…
Take a peek into the internals of Google Colab, and discover how we can bend the rules of Colab a little in order to adapt it to our MLOps workflow
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