Happy Opt Out October! Let’s Find Real Alternatives to the Tech Giants
Over the years, the major tech companies have found all sorts of ways to embed themselves into our lives. We often use their software, their AI tools, their social media, and their operating systems by default without even thinking about potential alternatives. It’s time to rethink that relationship. Last year, we created Opt Out October to help remind ourselves of the variety of ways we can take…
In recent years, dominant technology corporations have infiltrated various aspects of our lives. Many individuals utilize their software, AI tools, social media platforms, and operating systems without considering potential substitutes. To reevaluate this connection, last year, Opt Out October was launched to remind individuals of alternative methods to regain control over their data through minor adjustments within applications, operating systems, and other means.
This year, the focus shifts towards the notion that, in certain instances, the most effective way to manage data is to cease using a specific platform, application, or operating system entirely. To achieve this, a resource hub has been developed, providing guidance on discovering alternative software that is not developed by tech giants, exploring the expanding array of fresh social media options, installing entirely new operating systems, and effectively managing data usage by popular tools and software for artificial intelligence training.
Incentivized by merit badges, individuals can monitor their progress and share their achievements on social media or modify their profile images upon completing these tasks. The message is clear: there exist more privacy-focused and less intrusive tools. It is crucial to locate and employ them. To embark on this journey towards regaining control over the tools and software utilized, visit the Opt Out October landing page and begin taking the initial steps.
Written by urgent.news from EFF Deeplinks's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
