Regulation Alone Will Not Save Us from Big Tech
The article addresses challenges of Big Tech monopolies in AI, advocating for user-owned, open-source AI to prioritize well-being over profit. Polosukhin suggests a shift to open source AI for a diverse, accountable ecosystem.
Read original articleThe article discusses the challenges posed by Big Tech monopolies in the realm of AI and the limitations of relying solely on regulation to address these issues. The author, Illia Polosukhin, emphasizes the need for AI to be user-owned and open source to ensure it benefits humanity. He highlights the risks associated with closed, for-profit AI models that prioritize profit over user well-being. Polosukhin advocates for investing in open source, User-Owned AI as a proactive approach to managing risks, improving safety, and fostering collaboration among AI builders. By promoting transparency, data openness, and user empowerment, User-Owned AI aims to prioritize individual well-being and community success over corporate profit motives. The author argues that regulations alone are insufficient due to their reactive nature and potential to stifle innovation. Instead, he proposes a shift towards open source AI to create a more diverse and accountable AI ecosystem. Polosukhin's insights underscore the importance of rethinking AI governance to ensure a more ethical and user-centric approach in the face of rapidly evolving technology.
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Anyone who thinks we don't need regulation because open-source can save us all hasn't been paying attention the past few decades. The convenience tech companies offer can't be ignored, because it's exactly why users don't opt for open-source solutions that are (arguably, at least) far superior. It is not reasonable to expect casual users to be able to - or even want to! - debug their software, or jump through hoops to get it installed, keep it updated, etc.
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