Source URL: https://simonwillison.net/2025/Jun/9/apple-wwdc/#atom-everything
Source: Simon Willison’s Weblog
Title: WWDC: Apple supercharges its tools and technologies for developers
Feedly Summary: WWDC: Apple supercharges its tools and technologies for developers
Here’s the Apple press release for today’s WWDC announcements. Two things that stood out to me:
Foundation Models Framework
With the Foundation Models framework, developers will be able to build on Apple Intelligence to bring users new experiences that are intelligent, available when they’re offline, and that protect their privacy, using AI inference that is free of cost.
The framework has native support for Swift, so developers can easily access the Apple Intelligence model with as few as three lines of code.
Here’s new documentation on Generating content and performing tasks with Foundation Models – the Swift code looks like this:
let session = LanguageModelSession(
instructions: “Reply with step by step instructions"
)
let prompt = "Rum old fashioned cocktail"
let response = try await session.respond(
to: prompt,
options: GenerationOptions(temperature: 2.0)
)
I’m also very excited about this:
Containerization Framework
The Containerization framework enables developers to create, download, or run Linux container images directly on Mac. It’s built on an open-source framework optimized for Apple silicon and provides secure isolation between container images.
I continue to seek the ideal sandboxing solution for running untrusted code – both from other humans and written for me by LLMs – on my own machines. This looks like it could be a really great option for that going forward.
Tags: llm-release, apple, macos, generative-ai, sandboxing, llms, ai, swift
AI Summary and Description: Yes
Summary: The text discusses Apple’s recent announcements at WWDC, particularly focusing on the Foundation Models framework and the Containerization framework. These frameworks present significant advancements in AI and security for developers, offering tools that enhance privacy while simplifying the integration of AI functionalities into applications.
Detailed Description:
The content highlights two key frameworks announced by Apple that are relevant to the fields of AI, privacy, and security:
– **Foundation Models Framework**:
– This framework allows developers to leverage Apple’s AI capabilities easily.
– It supports offline intelligent experiences, emphasizing user privacy.
– The integration process for developers is straightforward, requiring minimal coding with native support for Swift.
– Example code showcases how developers can interact with the AI model using just a few lines of code, making it accessible even for those new to AI development.
– **Containerization Framework**:
– This framework facilitates the creation, download, or running of Linux container images on Apple devices.
– It is built to ensure secure isolation between container images, enhancing security when dealing with potentially untrusted code.
– The author expresses interest in using this framework for sandboxing untrusted code, especially when executing content generated by LLMs (Large Language Models).
* Key Implications for Professionals:
– **Increased Accessibility**: The Foundation Models framework provides an accessible entry point for developers to integrate AI into their applications without extensive expertise, promoting innovation.
– **Enhanced Privacy and Security**: The focus on user privacy in the Foundation Models Framework aligns with growing concerns about data security and privacy, making it a timely development.
– **Secure Development Practices**: The Containerization Framework presents opportunities for enhanced security in software development, allowing developers to run isolated environments for testing untrusted code safely.
Overall, these developments serve as significant advancements in both AI capabilities and security practices, appealing to professionals in software and infrastructure security domains.