To everyone visiting SF for the first time this week: - This heavy police presence is not normal. - It doesn't usually take an hour to cross Market - We have no idea what it's going to take for Monaco to stop.

All the focus around Jalapeño seems centered on performance vis-a-vis Nvidia, but the engineering velocity behind it is truly remarkable. Some highlights from the @hotchipsorg talk: 1. Building custom chips used to require massive armies of engineers and multi-year timelines. OpenAI went from initial RTL code to tapeout in just 9 months using XLS (a Rust-like language for hw from Google) and AI-driven co-design. 2. An AI loop took a raw, barely functional (DeepSeek) kernel running at 0.31% efficiency and autonomously optimized it to 88.94% of the chip's physical limit in under 2 days. 3. The AI-generated code ran up to 1.8x faster on critical blocks than implementations hand-tuned by world-class kernel engineers. 4. AI did more than just write software for the chip. It optimized the physical hardware circuits before tapeout. Again, this isn't zero-sum or a net-negative for Nvidia. Custom ASICs unlock absurd serving efficiencies for specialized workloads and will expand the total compute pie for the entire industry.

When I started Canonical, the mission was simple: back technical founders building core mission-critical infrastructure before it's obvious. Today, I'm extremely proud to share that Canonical has been selected for the 2026 @raiseconference Select cohort alongside an incredible group of emerging fund managers. To our portfolio founders, LPs, and community partners - thank you for trusting us. Looking forward to connecting with LPs & GPs at The Presidio in SF on Oct 22, 2026. Drop a DM if you'll be there!