These new models are pretty crazy. In an afternoon (mostly passive) + one flight I built an IDE for Python for iOS that runs Pyodide, has a debugger, embeds linter and formatter, pi-durable powered coding agent and does iCloud Drive and all the other things too.

A new paper from Apple engineers ends with a line we couldn’t have written better ourselves: "if idle macOS devices across organizations [...] can be securely federated, they could form a massive, shared GPU resource pool that benefits the broader ecosystem." That’s what we’re building with Darkbloom. The paper's Minions is a system that pool idle Apple Silicon Macs into a distributed GPU cloud for on-prem inference. Queue times went from 10+ hours to minutes. Zero new GPU purchases. Zero infrastructure cost. It runs inside Apple, on coworkers’ Macs, using the company’s own storage and access controls. When a team needs more capacity, they Slack colleagues and ask them to turn on the executor. Even in that setting, the top adoption concern was data confidentiality. People were wary of their jobs running on a colleague’s Mac. Apple’s fix was to keep each team’s work on its own team’s machines. Which brings it back to that one word in the conclusion: “securely.” Inside a company, you can shrink the network until you trust everyone in it. On an open network, the machine belongs to a stranger and there’s no one to Slack. Keeping prompts private and outputs honest on hardware you don’t control is the hard problem that we solved at Darkbloom. Apple built the on-prem version. Darkbloom is the open one.