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Saving the Open Web

Aug 01, 2023 - tanay.substack.com
The article discusses the potential of AI and other technological advancements in preserving the open web. It highlights the shift towards decentralized platforms, such as Mastodon and Instagram's Threads, where users can take their audience with them if they leave the platform. The article also notes the growth of podcasting and email newsletters, which are accessible via open protocols. It further explores the potential of Large Language Models (LLMs) in making it easier to access the vast knowledge on the internet and opening up access to closed/paid information.

The author suggests that LLMs could be used to tap into untapped knowledge in podcasts, YouTube, TikTok, and other platforms. They could also potentially be used to access paywalled information on a pay-per-query basis. The author also discusses the need for standards around controlling data use and the potential for attribution and licensing by model providers. The article concludes with an optimistic outlook on the use of AI to reduce the risk of companies shutting up shop to models over time.

Key takeaways:

  • The author discusses the potential of AI in saving the open web, with a focus on the growth of decentralized platforms like Mastodon and Instagram's Threads.
  • There is a growing trend of podcasting and email newsletters, which are not subject to algorithms from centralized entities and offer users more freedom in content consumption.
  • Large Language Models (LLMs) could help make the vast knowledge on the internet more accessible, including content in video and audio form, and could potentially open up access to closed/paid information on a pay-per-query basis.
  • Advancements in AI could include standards for controlling data use and licensing by model providers, which could reduce the risk of companies shutting up shop to models.
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