Simon Willison — Week of 2026-06-06 to 2026-06-12#

Highlight of the Week#

The standout event this week was the release of Anthropic’s massive Claude Fable 5 model, which Simon immediately leveraged as a highly capable coding partner to essentially author complex new features across his open-source ecosystem. However, the most impactful takeaway was his deep dive into the model’s terrifyingly autonomous capabilities—such as independently writing CORS servers and injecting JavaScript just to debug a CSS glitch—which served as a stark reminder of why executing AI-generated code requires strict sandboxing.

Simon Willison — Week of 2026-06-12 to 2026-06-18#

Highlight of the Week#

The most impactful release this week is the launch of datasette-apps, a major new plugin that allows developers to run self-contained, sandboxed HTML and JavaScript applications directly against a persistent Datasette backend. It brilliantly merges Simon’s ongoing experiments with AI-generated “vibe-coded” single-file tools and robust security architectures, pushing Datasette from a read-only publishing platform into a comprehensive ecosystem for building interfaces over data.

Simon Willison — 2026-06-12#

Highlight#

Simon updated his OpenAI WebRTC audio playground to support the newly released GPT-Realtime-2 model and added support for custom document context. This highlights a great use case for building small, sharp tools: bypassing official app delays to immediately experiment with bleeding-edge AI capabilities on your own terms.

Posts#

OpenAI WebRTC Audio Session, now with document context · Source Simon revisited and upgraded a browser-based tool he originally built in December 2024 for interacting with OpenAI’s realtime audio API. Users can now select GPT-Realtime-2—a model promoted as having “GPT-5-class reasoning”—because it still hasn’t rolled out to the official ChatGPT iPhone app. Most practically, he added a feature to paste large chunks of document context directly into the tool, enabling interactive audio conversations grounded in specific reference material.