In this blog post, we demonstrate the ability of Anthropic’s Model Hardware Standard (MHS) to help us overcome these challenges to contribute to a local citizen science project in Pacifica, California, and run a closed-loop experiment to optimize how our compiler makes decisions around pipetting settings.
Previewing the Model Hardware Standard
Anthropic is opening a research preview of the Model Hardware Standard (MHS), a shared specification for AI agents to safely operate physical devices, to a first group of scientific research labs and advanced manufacturers.
Production Is a Compiler Input - The Phoenix Architecture
Spade | Spade Hardware Description Language
Pipelines are a first class construct in Spade. By encoding the latency in the language, they make re-timing and re-pipelining trivial.
Model Hardware Standard
A new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing.
Compiling Models to Megakernels
Fine-grained synchronization, deep pipelines, and zero kernel launch overheads, automatically.
The Matter Compiler™ — Atomic Machines
A new universe of machines. Explore the Matter Compiler and a radically faster way to create.
The mythical matched modules | Proceedings of the 24th ACM SIGPLAN conference companion on Object oriented programming systems languages and applications
Certified compilers are complex software systems. Like other large systems, they demand modular, extensible designs. While there has been progress in extensible metatheory mechanization, scaling extensibility and reuse to meet the demands of full ...
Universal Virtual Computer
The specification of an hypothetical computer designed to decode and preserve some form of computation over time.
clem 🤗 on Twitter / X
We just released an hf CLI extension to detect the best model/quant for a user's hardware and then spins up a local coding agent. Time to go local/private/free/fast for your agents thanks to open-source! pic.twitter.com/LcVJzGCqWx— clem 🤗 (@ClementDelangue) March 17, 2026
Introducing gpt-oss
We’re releasing gpt-oss-120b and gpt-oss-20b—two state-of-the-art open-weight language models that deliver strong real-world performance at low cost. Available under the flexible Apache 2.0 license, these models outperform similarly sized open models on reasoning tasks, demonstrate strong tool use capabilities, and are optimized for efficient deployment on consumer hardware.
Deterministic Core, Non-Deterministic Shell - Outdata
Determinism, architecture, and the de-sloppification of legacy code.
Model system cards
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Anthropic expands partnership with Google and Broadcom for multiple gigawatts of next-generation compute
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Benchmarks | EXO
Transparent benchmarks for LLMs tested on real hardware. Coming soon.
Andrej Karpathy: Software Is Changing (Again)