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Tech CEO Fights Algorithms Hurting Our Brains

Summary

  • Attention-based algorithms prioritize ad revenue over user well-being.
  • Creators struggle to build communities due to algorithmically driven feeds.
  • A 'human algorithm' should fund art, prioritize relationships, and give users control.
Tech CEO Fights Algorithms Hurting Our Brains

The current internet experience is negatively impacted by attention-based algorithms designed by tech companies. These algorithms optimize for short-term user fixation, driven by ad revenue, leading to increased polarization and a decline in mental well-being, a phenomenon the author describes as 'rage bait.' This approach also makes it difficult for creators to foster meaningful communities around their work.

The core issue lies in the business model of many tech platforms, which extract human attention to convert into ad revenue. The author, a tech CEO himself, advocates for a fundamental change, suggesting that algorithms should be re-engineered to prioritize long-term relationships and human connection over fleeting engagement.

He proposes three principles for a better internet: prioritizing long-term relationships by showcasing creators' full catalogs, funding art directly rather than through ads, and empowering users by giving them more control. This human-centric approach aims to create an internet that serves people, fostering creativity and genuine connection.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
An attention-based algorithm is a formula used by tech platforms to decide what content users see, prioritizing engagement and fixation to maximize ad revenue.
Attention-based algorithms can contribute to doomscrolling, depression, and polarization by prioritizing provocative content designed to keep users hooked.
Solutions include prioritizing long-term relationships, funding creators directly, and giving users more control over their online experience, creating a 'human algorithm'.

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