Microsoft retired standalone OneDrive for Business Plan 1 and Plan 2 in 2026, but personal OneDrive and bundled Microsoft 365 accounts are not affected. This guide explains the renewal deadline, what happens to files, and how Syncthing, Nextcloud, or Companion Hub can replace standalone OneDrive with self-hosted storage.

Self-hosting keeps the important content on hardware you control: files, photos, messages, and AI prompts. But some network traffic still leaves, including DNS lookups, certificate checks, time sync, app updates, push notifications, and federation metadata. This guide explains what stays local, what still leaks, and how to reduce it by changing the architecture.

A family can move photos, files, passwords, contacts, and calendars off the cloud and onto hardware they own without learning to code. This guide explains what self-hosting looks like in 2026, which apps replace cloud services, what “no coding” really means, and where Companion Hub removes the terminal entirely.

When ChatGPT remembers you, a behavioral profile of you sits on OpenAI's servers. The same memory mechanism can run entirely on your own hardware. Here is exactly how, and where the data actually lives.

77% of workers paste company information into AI tools, often through personal accounts with no enterprise protections. This post explains why the behavior is structural, not careless, why bans and policies fail, and why running AI locally is the only architectural fix that keeps sensitive data from leaving your control.

As of a policy that takes effect August 17, 2026, Atlassian defaults Jira and Confluence cloud customers into using their content to train Atlassian's AI products. Two data types are involved: de-identified metadata and the in-app content your team writes. Every plan can opt out of the in-app content in about five minutes (Admin, Security, Data contribution). Most plans below Enterprise cannot opt out of the metadata. Enterprise has both off by default.

Cloud subscriptions can be replaced with self-hosted alternatives in 2026, from Google Drive, Dropbox, Notion, 1Password, Zoom, DocuSign, and Google Photos to tools like Nextcloud, Immich, AppFlowy, AFFiNE, VaultWarden, Jitsi Meet, Documenso, and Home Assistant. It positions Companion Hub as the easier path to self-hosting by offering one-click installs, helping users reduce recurring app costs while keeping more data under their own control.

A personal AI server is worth it when you use AI often, handle confidential client data, or want local control. This post explains what non-developers can actually do with local AI, when the cost math works, and where cloud AI still wins today for people who aren’t developers.

The FCC’s Cyber Trust Mark is a new cybersecurity label for connected smart devices. This article explains how the program works, why it was created, what it means for consumers, and how it fits into larger conversations around smart homes, security, privacy, and digital trust.

Microsoft retired its standalone OneDrive for Business plans in 2026... what does this mean for you, the user? 

A three-month field report on a live local-first AI hotel deployment by LITA Hotels and Companion Intelligence.

Smart homes have shifted from reacting to predicting. By modeling behavior as patterns over time, they forecast what you’ll do next and begin acting before input. This creates a “default path” of your day, where systems anticipate needs and shape your environment—turning automation into subtle influence.

Smart homes can identify you without names by learning patterns of behavior. Movement, device use, and routines form a unique “behavioral fingerprint” that reveals identity over time—even from encrypted signals. Identity is no longer declared; it’s inferred from habits, making privacy about patterns you can’t avoid.

Smart home data can become evidence once it leaves your home. Systems like Amazon Ring and Google Sensorvault show how logs, recordings, and patterns are used in legal, insurance, and civil cases. The issue isn’t misuse—it’s that stored data can be accessed, interpreted, and used beyond your control.

Smart home data doesn’t stay in your home. Systems like Amazon Alexa and Google Home send data to cloud ecosystems where it’s shared across services, APIs, and third parties. Legal frameworks can also grant access. Control isn’t based on ownership—it’s defined by the architecture handling your data.

Wearables don’t just track—they influence. Scores become trusted signals that shape decisions, creating a loop: data → score → behavior → new data. Over time, users optimize for the system, narrowing choices and redefining “normal.” The system doesn’t control behavior—it shapes what feels like the right choice.

Wearables are shifting from tracking to predicting. By building baselines from sleep, heart rate, and activity, they detect subtle changes and forecast outcomes before symptoms appear. Over time, these predictions influence behavior, redefining “normal” based on the model—raising the key question: who controls the system guiding your decisions?

Smart home devices track voice, motion, and behavior to build detailed patterns of life. Learn how Alexa, Ring, and connected systems collect and use your data, and how hosting local-first models on personal devices can help you keep it private.