Turn your best AI prompts into one-click tools in Chrome
Skills in Chrome let you discover, save and remix AI workflows — and repeat them instantly.
The latest blog posts to take off on Hacker News. 3,237 posts.
Skills in Chrome let you discover, save and remix AI workflows — and repeat them instantly.
The chart below compares the forward P/E ratios for the S&P 500 and the S&P 500 Information Technology sector. Subscribe for daily updates.
Every week, a new AI model climbs to the top of a benchmark leaderboard. Companies cite these numbers in press releases. Investors use them to justify valuations. Engineers use them to pick which model to deploy. The implicit promise is simple: a higher score means a more capable system.
When AISLE tested Mythos's showcase vulnerabilities on small, cheap, open-weights models, most found the same bugs. Here's what that means for cyber.
Instant 1.0 is out! This essay shows a bunch of demos, to explain why we think Instant is the best backend for AI-coded apps. We also cover the architecture that makes all of it work.
Coding agents working from code alone generate shallow hypotheses. Adding a research phase — arxiv papers, competing forks, other backends — produced 5 kernel fusions that made llama.cpp CPU inference 15% faster.
Tool calling with closed-source models is seamless. You pass a list of functions to the API, the model calls them, you get structured JSON back.
Claude Managed Agents is Anthropic's suite of composable APIs for building and deploying cloud-hosted agents at scale. See what's new and how to get started.
Today, we’re excited to introduce Muse Spark, the first in the Muse family of models developed by Meta Superintelligence Labs. Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.
Technical details on how we tested Claude Mythos Preview, a model strikingly capable at computer security tasks, and what we found.
A new initiative to secure the world’s most critical software and give defenders a durable advantage in the coming AI-driven era of cybersecurity.
Large language models may be standardizing human expression and subtly influencing how we think, says study led by USC Dornsife researcher
Anthropic secures multiple gigawatts of next-generation TPU capacity starting in 2027, its largest compute commitment to date.
All modern language models sometimes act like they have emotions. What’s behind these behaviors? Our interpretability team investigates.
We replaced expensive sandboxes with ChromaFs, a virtual filesystem over Chroma, to give our docs AI assistant the ability to explore documentation like a developer would.
Cursor 3 is a unified workspace for building software with agents.
Our most intelligent open models, built from Gemini 3 research.
Qwen offers comprehensive functionality spanning chatbot, image and video understanding, image generation, document processing, web search integration, tool utilization, and artifacts.
Meta is continuing its long-term roadmap to help the construction industry leverage AI to produce high-quality and more sustainable concrete mixes, as well as those exclusively produced in the Unit…
Unmatched accuracy and speed. Transcribe converts your business’ audio data into precise text for search, analytics, and automation.
Everyone's worried about slop, but good code will prevail, not only because we want it to, but because economic forces demand it.
Today, we're previewing the fastest way to run Ollama on Apple silicon, powered by MLX, Apple's machine learning framework.
Learn how AI was used to rewrite JSONata into a faster Go library, reducing costs and improving data processing performance.
From April 24 onward, interaction data from Copilot Free, Pro, and Pro+ users will be used to train and improve our AI models unless they opt out.
A complete guide to quantization: how LLMs store parameters as floats, why shrinking them to 4 or 8 bits barely hurts accuracy, and how to measure the tradeoff.
Introducing Ensu, our first step toward a private, personal LLM app that runs on your device and grows with you over time.
Arm introduces the Arm AGI CPU to power agentic AI infrastructure with rack-scale performance, efficiency and scalable compute for next-generation data centers.