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    1. more people feel empowered and motivated to choose alternatives

      Creative communities have always shaped the web, and that same spirit could drive the development of “good AI” built with ethics and care! Stronger policies and better education can help students feel empowered to choose tools that reflect their values instead of settling for whatever dominates the market.

    2. redit the people who invented

      This is a concern because it allows companies to profit from community-built code without acknowledging the people who created it. When tools are trained on open‑source work and then used to commercialize that same work, it raises serious questions about consent.

    3. collateral damage

      I can speak to this personally, seeing this happen IRL. A business I worked with used an open software to help streamline their warehouse management systems. When automated agents and LLM submissions came into play the amount of sifting, managing correct submissions, and TIME was immense which leads to an intense amount of collateral damage. Specifically HUMAN time spent on corrections is completely disabling and makes these platforms, and software unusable for others.

      If we are comparing this to education; It feels similar to sifting through the noise with your students. Helping students using their critical thinking skills and what could be categorized as hallow and what is genuine to knowledge building.