docs: Claude Code vv2.1.175 - enforceAvailableModels closes Default picker bypass

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

Author: 2 people

content/.metadata.json

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content/blog/news/golden-gate-claude.md

@@ -17,7 +17,7 @@ And as we [explain in our research paper](https://transformer-circuits.pub/2024/
 
 If you ask this “Golden Gate Claude” how to spend $10, it will recommend using it to drive across the Golden Gate Bridge and pay the toll. If you ask it to write a love story, it’ll tell you a tale of a car who can’t wait to cross its beloved bridge on a foggy day. If you ask it what it imagines it looks like, it will likely tell you that it imagines it looks like the Golden Gate Bridge.
 
-For a short time, we’re making this model available for everyone to interact with. You can talk to “Golden Gate Claude” on [claude.ai](https://claude.ai/redirect/website.v1.f8188eeb-ab14-4ed0-82cc-795ccb4f981d) (just click the Golden Gate logo on the right-hand side). Please bear in mind that this is a research demonstration only, and that this particular model might behave in some unexpected—even jarring—ways.
+For a short time, we’re making this model available for everyone to interact with. You can talk to “Golden Gate Claude” on [claude.ai](https://claude.ai/redirect/website.v1.93991724-8ea5-42df-97d9-98144e517283) (just click the Golden Gate logo on the right-hand side). Please bear in mind that this is a research demonstration only, and that this particular model might behave in some unexpected—even jarring—ways.
 
 Our goal is to let people see the impact our interpretability work can have. The fact that we can find and alter these features within Claude makes us more confident that we’re beginning to understand how large language models really work. This isn’t a matter of asking the model verbally to do some play-acting, or of adding a new “system prompt” that attaches extra text to every input, telling Claude to pretend it’s a bridge. Nor is it traditional “fine-tuning,” where we use extra training data to create a new black box that tweaks the behavior of the old black box. This is a precise, surgical change to some of the most basic aspects of the model’s internal activations.
 

content/blog/news/introducing-claude-to-canada.md

@@ -7,7 +7,7 @@ Markdown Content:
 
 [Claude](https://www.anthropic.com/claude) is now available in Canada. Starting today, people and businesses across the country will be able to access Claude via:
 
-*   [Claude.ai](http://claude.ai/redirect/website.v1.93991724-8ea5-42df-97d9-98144e517283): the web-based version of our next-generation AI assistant.
+*   [Claude.ai](http://claude.ai/redirect/website.v1.97eecff1-f7af-4339-b944-4925a6cf3900): the web-based version of our next-generation AI assistant.
 *   The [Claude iOS app](https://apps.apple.com/app/claude/id6473753684): the free mobile app available in the Apple App Store that offers the same intuitive experience as mobile web.
 *   The [Claude API](https://www.anthropic.com/api): an interface that allows developers to integrate Anthropic’s state-of-the-art AI models into their own applications, websites, or services.
 *   The [Claude Team plan](https://www.anthropic.com/news/team-plan-and-ios): a secure workspace for teams to collaborate that offers increased usage for members.

content/blog/news/model-context-protocol.md

@@ -14,7 +14,7 @@ The Model Context Protocol is an open standard that enables developers to build
 Today, we're introducing three major components of the Model Context Protocol for developers:
 
 *   The Model Context Protocol [specification and SDKs](https://github.com/modelcontextprotocol)
-*   Local MCP server support in the [Claude Desktop apps](https://claude.ai/redirect/website.v1.a2f0cf5f-c02f-4734-b614-962f4e183717/download)
+*   Local MCP server support in the [Claude Desktop apps](https://claude.ai/redirect/website.v1.ff77d445-cfd2-4259-a19d-bd370cd121c9/download)
 *   An [open-source repository](https://github.com/modelcontextprotocol/servers) of MCP servers
 
 Claude 3.5 Sonnet is adept at quickly building MCP server implementations, making it easy for organizations and individuals to rapidly connect their most important datasets with a range of AI-powered tools. To help developers start exploring, we’re sharing pre-built MCP servers for popular enterprise systems like Google Drive, Slack, GitHub, Git, Postgres, and Puppeteer.
@@ -27,13 +27,13 @@ Instead of maintaining separate connectors for each data source, developers can
 
 ## Getting started
 
-Developers can start building and testing MCP connectors today. All [Claude.ai](http://claude.ai/redirect/website.v1.a2f0cf5f-c02f-4734-b614-962f4e183717) plans support connecting MCP servers to the Claude Desktop app.
+Developers can start building and testing MCP connectors today. All [Claude.ai](http://claude.ai/redirect/website.v1.ff77d445-cfd2-4259-a19d-bd370cd121c9) plans support connecting MCP servers to the Claude Desktop app.
 
 Claude for Work customers can begin testing MCP servers locally, connecting Claude to internal systems and datasets. We'll soon provide developer toolkits for deploying remote production MCP servers that can serve your entire Claude for Work organization.
 
 To start building:
 
-*   Install pre-built MCP servers through the [Claude Desktop app](https://claude.ai/redirect/website.v1.a2f0cf5f-c02f-4734-b614-962f4e183717/download)
+*   Install pre-built MCP servers through the [Claude Desktop app](https://claude.ai/redirect/website.v1.ff77d445-cfd2-4259-a19d-bd370cd121c9/download)
 *   Follow our [quickstart guide](https://modelcontextprotocol.io/quickstart) to build your first MCP server
 *   Contribute to our [open-source repositories](https://github.com/modelcontextprotocol) of connectors and implementations