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Apple has officially unveiled a revamped Siri, now known as Siri AI.
It s a complete rebuild powered by Apple Intelligence, which includes personal context understanding, broad world knowledge, and onscreen awareness.
It can now search through your emails, messages, and photos to surface relevant information on demand.

Siri AI also features a dedicated app that syncs conversation history across all your devices through iCloud, so you can start a chat on your Mac and continue it on your iPhone. That sounds impressive on paper.

But here is the elephant in the room: ChatGPT and Gemini have been doing most of this for two years. Is Apple genuinely innovating, or is this just a very polished catch-up job dressed in premium marketing?

Last quarter, our team spent three weeks building a feature that does... nothing.

When a user writes something deeply painful in their journal grief, heartbreak, feeling lost Murror's AI used to respond immediately. Empathetic words, gentle reflections, suggested reframes. Users loved it in surveys. Our response quality scores were excellent.

Something I have been thinking about in the AI governance space that I do not see discussed enough: provenance capture is not like most tooling categories.

With most observability or audit tooling, the reasoning is "we should have this so we're better positioned going forward." You can turn it on when the need becomes clear. You lose some history, but the tooling from that point forward is complete.

AI code provenance does not work this way.

The prompt a developer submits to Claude Code exists for a few hundred milliseconds in transit. After the model returns its response and the editor applies the change, that prompt is gone. Git records the diff. Nothing else records the origin by default. There is no reconstruct operation.