#ai-in-infrastructure

#ai-in-infrastructure

The new tracker features a simplified progress bar that shows just four stages of pizza creation. The new design was rolled out to all platforms, and there's also new Lock Screen widgets for iOS that bring the pizza chain's most famous tech feature to the Liquid Glass age.

Out of the company's first 80,000 deliveries the bots finished on campus, about 1,600 involved incidents of vandalism. At a cost of $2,500 per Kiwibot, the damage adds up quick.

This proof of concept in the manufacturing industry allows us to demonstrate how humanoid robots can act as extensions of an organization's operations by providing business context awareness and integration with existing workflows.

Earlier we did episode one of this with Grady Booch where we discussed the principled view of that what's changing and what remains unchanged, what is hyped and what is actually naturally coming with the AI changes. We also spoke about that what is the difference between the design and the architecture and what teams are focusing and what they might be missing.

Baron traces the origin story back to his time building high-scale systems at Instana (which exited to IBM in 2020), where the reality of "always-on" platforms made one thing obvious: the tooling we rely on is often too low-level, too rigid, and too disconnected from real-world use cases. That gap has only widened as environments have exploded in complexity-more cloud providers, more managed services, more hybrid setups, more internal APIs, and "gillions" of tools stitched together into brittle workflows.

Between the lines: This isn't benevolence. It's customer acquisition. Mayors don't just buy "AI." They buy cloud, data modernization, cybersecurity, services, and long-term support - the tech stack underneath any serious deployment. In return, cities get tools that could fix long-standing challenges, Cris Turner, vice president of government affairs at Google told Axios last June when it first released its playbook.