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 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 ...
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.
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)
Can LLMs Be Computers? | Percepta
We build a computer inside a transformer — executing arbitrary C programs for millions of steps with exponentially faster inference via 2D attention heads.
Can LLMs Be Computers? | Percepta
We build a computer inside a transformer — executing arbitrary C programs for millions of steps with exponentially faster inference via 2D attention heads.
Compiling Match Statements to Bytecode
Full pipeline deep dive for purple garden: AST, BB SSA IR, Bytecode, Optimisations
LLMs as Collaborators in Language Specification and Design (PLSS 2026) - SPLASH/ISSTA 2026
Workshop on Programming Language Standardization and Specification This workshop aims to foster cross-pollination between researchers and industry professionals with experience in programming language specification and standardization. It provides a forum where participants can share insights, case studies, and best practices, and collaboratively explore solutions to current challenges. The goal of the workshop is to improve the collective understanding of how programming languages are specified, standardized, and evolved in practice. The workshop examines specifications as the foundation ...
