https://macworks.dev/tags/vision-llms/Recent content in Vision-Llms on MacWorksHugoenhttps://macworks.dev/docs/week/simonwillison/simonwillison-2026-06-08/Mon, 01 Jan 0001 00:00:00 +0000https://macworks.dev/docs/week/simonwillison/simonwillison-2026-06-08/<h1 id="simon-willison--2026-06-08">Simon Willison — 2026-06-08<a class="anchor" href="#simon-willison--2026-06-08">#</a></h1> <h2 id="highlight">Highlight<a class="anchor" href="#highlight">#</a></h2> <p>Simon takes a cautious approach to Apple&rsquo;s WWDC 2026 AI announcements, but notes that their screen-reading vision LLM strategy and new PyTorch integration for local models look highly promising for developers.</p> <h2 id="posts">Posts<a class="anchor" href="#posts">#</a></h2> <p><strong><a href="https://simonwillison.net/2026/Jun/8/wwdc/#atom-everything">Siri AI at WWDC 2026</a></strong> · Source Reflecting on WWDC 2026, Simon adopts an &ldquo;I&rsquo;ll believe it when I see it&rdquo; stance regarding Apple Intelligence, given the overpromises of the 2024 rollout. However, he points out that the latest Siri AI features appear technically viable, powered by a custom Gemini-derived model on Private Cloud Compute and vision LLMs that extract on-screen data without requiring third-party app updates. He is particularly interested in the new Core AI library and its <code>coreai-torch</code> Python package, which provides a straightforward bridge for developers to export PyTorch models into native programs optimized for Apple hardware.</p>