Open World News

This week's roundup highlights two insightful talks on how open-source tooling is reshaping the way AI agents and machine learning systems are built and improved. From the architecture of agent harnesses to the mechanics of continual learning, these curated videos offer practical lessons for developers and researchers alike.

First, Hugging Face presents a deep dive into DeepSeek Harness (DSH), DeepSeek's open-source agent harness built on the Cordis plugin system. The video explains the project's guiding philosophy—everything is a plugin, including the agent loop, the tools, and even the system prompt—and offers a quick tour of what's new in the framework. It's a compelling look at how modular design can make agent infrastructure more flexible and extensible.

Next, the PyTorch Foundation shares a keynote from PyTorch Conference North America featuring Cody Mazza-Anthony of Shopify. The talk walks through Shopify's continual learning loop with PyTorch and vLLM, showing how the company turns product expertise into robust evaluations, then mines, critiques, and repairs low-scoring conversations to train better models. Using Buyer Profile as a case study, the session demonstrates how small models can deliver meaningful results within a production feedback flywheel.

Together, these posts