
Substack is giving readers a way to estimate how much of a newsletter was written by AI, signaling a broader shift toward transparency around AI-assisted content.
Substack has launched a feature integrated with AI writing detection software that allows users to scan posts and comments to see estimates of how much content was written by humans versus AI. The tool aims to address concerns about AI-generated content on the platform while encouraging writers to disclose their use of AI rather than prohibiting it. The move could expose newsletters relying heavily on AI generation, potentially affecting trust in the platform, but may help reduce low-quality AI content long term. Other platforms including social media sites and music streaming services have similarly begun labeling AI-generated content.

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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