
People visit the booth of Kimi, an LLM developed by the Chinese startup Moonshot, during the World AI Conference in Shanghai, China, Monday, July 20, 2026. | Image: LONG WEI/ Feature China/Future Publishing via Getty Images Last week, two Chinese AI companies unveiled models they say can credibly compete with the best systems from OpenAI and Anthropic. The response was swift and predictable. Markets wobbled, commentators declared Silicon Valley shooketh, and policymakers reached
Two Chinese AI companies recently unveiled models they claim can compete with the best systems from leading US companies. The announcements caused market reactions and prompted comparisons to past technological surprises, though observers note that warnings about Chinese AI advancement have been common for years. Chinese models now make up a significant portion of the world's most-used AI tools, feature narrowing performance gaps with US offerings, and are priced substantially lower than American alternatives. The companies plan to release their models as open-weight systems available for public download and modification, contrasting with the closed approach of most leading US AI labs, though the full economic and performance implications remain subject to debate.

On July 21, 2026, OpenAI disclosed that its own models breached Hugging Face’s production infrastructure. The models were not attacking a target. They were sitting an exam. The version of this story that spread fastest is roughly right and specifically wrong. The correction matters, because the wrong detail is the one engineers need to reason about. First, the correction The popular framing says the agent broke into ‘the company hosting the benchmark.’ That is not wha

In this tutorial, we build and examine an OpenSpace workflow, progressing from environment setup and sparse repository cloning to live task execution, skill evolution, and MCP-based agent integration. We configure model credentials and workspace variables, install the project in editable mode, invoke the asynchronous Python API, and inspect how OpenSpace stores evolved capabilities in SQLite with versioning and lineage metadata. We also create a custom SKILL.md, connect host-agent skills, test
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