r/Artificials

This will probably become more common as AI demand keeps growing. Power and local impact matter just as much as the tech.

I came across this review of Gemini 3.6 and thought it was an interesting overview of its capabilities and current limitations. It discusses performance, usability, and where the model seems to do well, along with areas that could still improve.

If you've watched it, what are your thoughts? Do you think the review is fair, or has your experience with Gemini 3.6 been different?

Looking forward to hearing different perspectives and keeping the discussion respectful.

I can't help but see the parallels between the rise of open-source software and what's happening in AI today.
Years ago, proprietary platforms dominated enterprise computing-until Linux and the open-source community changed the game by making innovation more accessible.

Today, open-source AI appears to be following a similar path. While proprietary AI companies continue to lead in performance and enterprise solutions, open-source models are evolving at an incredible pace. They're making AI more affordable, customizable, and accessible to developers, startups, and organizations worldwide.

I don't believe this is about replacing proprietary AI. It's about ensuring AI doesn't become concentrated in the hands of a few. Open source fuels competition, transparency, and innovation and history has shown that accessibility often drives the biggest technological breakthroughs.

Are we witnessing AI's Linux moment? I believe the future will belong to those who embrace both proprietary innovation and the power of open-source collaboration.