
NVIDIA Research introduced HORIZON, a hands-free agent framework for hardware design. It treats hardware design as repository-level code evolution. This research team exercises the register-transfer level (RTL) instantiation. A structured Markdown harness becomes a project pack. A self-contained agent loop then evolves an isolated git worktree. It commits a version only when an executable acceptance gate passes. The research team reports 100% completion across every evaluated RTL benchmark s
Will NVIDIA's HORIZON agent framework paper appear on arXiv by July 11, 2026?
Resolves by Jul 11, 2026
HORIZON is an autonomous agent framework that designs hardware by treating the process as continuous code evolution within a version-controlled repository rather than one-shot code generation. The framework uses a structured input called a Markdown harness containing goals and evaluation criteria, then iteratively edits hardware design files, runs testing tools like simulators and assertion checkers, and commits changes only when they pass acceptance criteria. This matters because hardware design requires correctness across multiple dimensions including cycle-level behavior and simulator feedback, which single-turn code generation cannot reliably achieve. The research team reports achieving 100% completion across all evaluated benchmark suites, though they note that agentic hardware design is not yet a solved problem overall.

Most enterprise data still sits inside PDFs, scans, and slide decks. Large language models and agents cannot use that data until it becomes structured JSON. Open-source document extraction has become the standard way to do that conversion on your own hardware. Two different problems hide under the phrase ‘PDF to JSON.’ The first is schema-driven extraction: you define fields, and a model fills them with values. The second is document parsing: a model reconstructs the page into st
Junyang Lin was the technical lead of Alibaba’s Qwen project. He announced he was stepping down on March 3, 2026. He now lists himself as an independent researcher on his personal site. In a talk titled ‘Qwen: Towards a Generalist Model / Agent,‘ he walks through the Qwen family. It ends on a single line: “Training models -> training agents.” He later expanded that line into an detailed post as an independent researcher. This article reads the talk and the detai

Two hundred and fifty years after the signing of the Declaration of Independence, a new commercial asks: What if the Founding Fathers had access to Google Workspace?
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