# Mac minis Published articles for Mac minis. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## What are ChatGPT dots? DevFeed: [What are ChatGPT dots?]() Original publisher: [Read original article]() Author: Harry Guinness Published: 2026-10-13T04:00:00Z Content type: article Language: en Sources: [Zapier]() Topics: [ChatGPT](), [OpenAI](), [AI Chat](), [AI Integration Strategies](), [Multi Agent Systems](), [Slack](), [OpenClaw](), [Microsoft Teams]() Tags: [2026](), [account](), [agents](), [ai](), [anthropic](), [chatgpt](), [chatgpt-pro](), [developer](), [developing](), [dive](), [don-t](), [dots](), [frontier](), [frontier-ai](), [gemini](), [here-s](), [i](), [isn-t](), [mac](), [mac-minis](), [productivity]() ### AI overview ChatGPT dots are always-on agents that run in OpenAI's cloud on a Linux computer with Chrome, connect to apps through ChatGPT's existing integrations or Zapier, and can act or proactively message users while their devices are offline. In testing, a dot caught bounced payments, delivery conflicts, and a grant-document problem, updated a calendar, found replacement restaurant bookings, and troubleshot broadband access. It also missed emails requiring judgment, so the author says it is not reliable enough to run an inbox or calendar alone. Dots can access sensitive accounts and the internet; OpenAI says safeguards reduce but do not eliminate prompt-injection risks. Personal plans allow model training on user data by default, which can be disabled in settings. At the time described, first dots were included with Pro and Business Premium, with Enterprise and Education access by opt-in; other plans lacked access. ### Source excerpt ChatGPT dots don't come as a surprise. Always-on agents have been the next frontier AI since OpenClaw caused a run on Mac minis back in January 2026. OpenAI even hired OpenClaw's developer, Peter Steinberger. And OpenAI isn't alone in this: Meta has Muse, Gemini has Spark, and Anthropic is presumably developing something else pretty similar. I have a ChatGPT Pro account, so I was able to dive right in myself and see what ChatGPT dots bring to the table. Here's what I learned after letting a dot ## A Spanish museum built a Cray-1 replica powered by 30 old Mac minis DevFeed: [A Spanish museum built a Cray-1 replica powered by 30 old Mac minis]() Original publisher: [Read original article]() Author: Skye Jacobs Published: 2026-10-12T10:15:00Z Content type: news Language: en Sources: [TechSpot]() Topics: [Cyberdecks](), [Mac Mini](), [macOS]() Tags: [1-3](), [2014](), [3d-printed](), [allows](), [computers](), [cray](), [data](), [design](), [developers](), [displays](), [distributed](), [ethernet](), [figure](), [gigabit-ethernet](), [hardware](), [linux](), [mac-mini](), [mac-minis](), [make](), [model](), [museum](), [replica](), [spain](), [supercomputer](), [tech-culture]() ### AI overview A Spanish computing museum built a full-size Cray-1 replica that houses a working cluster of 30 Mac minis. The cluster reached 1.3 teraflops in a custom matrix-multiplication test, with 64 cores active; the museum previously reported 1.5 teraflops with all 70 cores running. The exhibit uses macOS Mojave and MPI to coordinate calculations across the machines. Plans include expanding the cluster with newer Mac minis, with the goal of making the TOP500 list. ### Source excerpt The Museo de Historia de la Computación spent 18 months developing the exhibit. The replica preserves the appearance of the 1976 machine without trying to reproduce its internal hardware. Built to mark the 50th anniversaries of the Cray-1 and Apple's founding, the model is now on permanent display at the... Read Entire Article ## Arduino argues that physical AI agents can run on lower-cost embedded hardware DevFeed: [Arduino argues that physical AI agents can run on lower-cost embedded hardware]() Original publisher: [Read original article]() Author: Arduino Team Published: 2026-09-30T12:25:07Z Content type: article Language: en Sources: [Arduino Blog]() Topics: [Physical AI](), [AI Infrastructure](), [smartdevices](), [Koans]() Tags: [agentic-ai](), [ai](), [ai-agents](), [arduino](), [embedded](), [featured](), [inference](), [infrastructure](), [local-ai](), [mac-mini](), [mac-minis](), [openai](), [uno-q](), [ventuno-q]() ### AI overview The article contrasts full computers used to train agents to operate software with embedded boards for agents interacting with physical environments. It presents Arduino VENTUNO Q as a lower-cost option combining a Linux environment, local AI inference, and access to cameras, sensors, and actuators, and describes UNO Q as a remote node. ### Source excerpt A recent article revealed that OpenAI is purchasing tens of thousands of Mac minis and Mac Studios to give AI agents dedicated environments to run, make mistakes, and learn. It's a smart infrastructure decision for agents meant to operate inside a computer clicking, navigating, using software: they need a full computer to practice on. But [...] The post How little does an AI agent need, and how cheap can it get? appeared first on Arduino Blog. ## Run OpenClaw (Formerly Moltbot and Clawdbot) in a Sprite DevFeed: [Run OpenClaw (Formerly Moltbot and Clawdbot) in a Sprite]() Original publisher: [Read original article]() Author: Daniel Botha Published: 2026-01-26T00:00:00Z Content type: tutorial Language: en Sources: [Fly]() Topics: [OpenClaw](), [AI Sandbox](), [Open Source](), [Linux]() Tags: [ai-assistant](), [behaviour](), [capabilities](), [clawdbot](), [cli](), [connectors](), [costs](), [discord](), [how-to](), [install](), [isolated-environment](), [linux](), [mac-minis](), [messaging](), [moltbot](), [need](), [open-source](), [open-source-ai](), [openclaw](), [openclaw-sandbox](), [permissions](), [sprites](), [the-fly-blog](), [tutorial]() ### AI overview The excerpt describes running OpenClaw in a Sprite, a stateful, hardware-isolated Linux sandbox that sleeps when idle, wakes on URL requests, and preserves configuration across restarts. The setup creates a Sprite, runs OpenClaw's install wizard, registers its Gateway as a Sprite service on port 18789, and optionally makes the Sprite URL public. The wizard's systemd-unavailable and Gateway health-check errors are described as expected; the Gateway starts through Sprite's service manager. Accessing the dashboard requires copying the onboarding token and approving a pending device pairing request. A checkpoint can save the working configuration for later restoration. The excerpt ends partway through the instructions, so it does not establish full-document coverage. ### Source excerpt Running OpenClaw on a Sprite There's zero chance this will be the first time you're hearing about OpenClaw, the project previously known as Clawdbot and then Moltbot. It's an open-source AI assistant that connects to messaging platforms you probably already use: WhatsApp, Telegram, Slack, Discord, Signal, etc. It comes with a fast-growing list of connectors and Skills and self-iterating capabilities, right out of the box. If you really want to see what a project like OpenClaw can do, you need to run it with generous permissions and give it access to its environment. That is inherently scary, which is why so many people have been snapping up Mac Minis to run their OpenClaw in an isolated environment. You don't need a Mac Mini. Instead, let's learn how to run OpenClaw in a Sprite. (Prefer one click? Deploy OpenClaw on a Sprite and skip the rest of this post.) A stateful sandbox with automatic sleep/wake behaviour that keeps running costs low. Sprites are fully hardware isolated Linux computers, so you can give OpenClaw total agency and not even have to think about building your own guardrails. Create a Sprite Install the Sprites CLI and create a Sprite: Wrap text Copy to clipboard curl -fsSL https://sprites.dev/install.sh | bash sprite create openclaw Connect to the Sprite console: Wrap text Copy to clipboard sprite console -s openclaw Install and Configure OpenClaw Run the OpenClaw install script: Wrap text Copy to clipboard curl -fsSL https://openclaw.ai/install.sh | bash The wizard will configure your credentials, hooks, and messaging platforms. You'll see two expected errors at the end: Systemd unavailable -- Sprites don't use systemd Health check failed -- The Gateway isn't running yet This is normal. The onboarding creates your config. We'll start the Gateway next. Important: Copy the token shown in OpenClaw's output. It looks like: 9054a0cfca3f5be5325f988fb57ddf1f38e530d2883bbed7 Add openclaw to your PATH so it's available in future sessions: Wrap text Copy to cl ## iOS Build Infrastructure DevFeed: [iOS Build Infrastructure]() Original publisher: [Read original article]() Author: Square Engineering Published: 2015-07-28T16:09:00Z Content type: article Language: en Sources: [Square Corner]() Topics: [CI/CD](), [Continuous integration](), [mobile devops](), [Software Testing](), [iOS](), [builds]() Tags: [about](), [accessibility](), [added](), [agent](), [all](), [allowed](), [allows](), [also](), [ansible](), [api](), [app](), [app-store](), [apple](), [build](), [builds](), [engineering](), [infrastructure](), [ios](), [mac](), [mac-minis](), [run]() ### AI overview Square reports running its iOS CI builds on 24 bare-metal Mac minis, after finding virtualization too slow for workloads with many small-file reads and writes. Jenkins runs builds on Swarm-connected slaves; DeployStudio and Ansible provide repeatable imaging and configuration. The team found that fake HDMI monitors enabled simulator use of the graphics card and sped tests by 10%. To make command-line simulator runs reliable, machines auto-log in a build user, run caffeinate, and grant accessibility access through the TCC database. Release-signing machines disable passworded SSH and VNC, while a trusted group handles certificates. The setup improved build reliability and nearly quadrupled tests per Register contribution, but Xcode upgrades remained difficult to predict and required gradual rollout and workarounds. ### Source excerpt How we configured our Mac minis to run builds