EP 618: RSL vs. the AI Scrape: Can LLM licensing save the open web?

Everyday AI Podcast – An AI and ChatGPT Podcast

AI scraping vs. the open web. Who wins? 🥊
Let's say the quiet part out loud: AI companies have trained their models for years on your company's website data, regardless of if you want them to.
Fast forward to today: many publishers have lost up to 70% of website traffic (and huge chunks of revenue) because of this.
So what happens if some of these publications.... die? Then the AI companies have fewer, human-created source material to train future models on.
Rut roh.
Maybe the Really Simple Licensing protocol can save us all.
We talk with RSL Collective Co-founder Doug Leeds on if a new licensing structure can be a win-win-win for publishers, AI companies and end users.
You don't wanna miss this one. 👇

EP 618: RSL vs. the AI Scrape: Can LLM licensing save the open web?

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Topics Covered in This Episode:

1. The Open Web Threat from AI Overviews
2. Decline in Website Traffic Due to AI
3. Problems with Current Web Content Licensing
4. Doug Leeds’ Publishing Industry Background
5. Introduction to Really Simple Licensing (RSL)
6. How RSL Web Standard Enables Licensing
7. RSL Collective Blanket License Model
8. Impact of RSL on AI Search Results
9. Big Publishers’ Participation in RSL Collective
10. Benefits for AI Companies Licensing Content
11. Addressing AI Hallucinations with Licensed Data
12. Collective Enforcement Against Content Scraping
13. Legal and Economic Sustainability for Publishers

Timestamps:
00:00 "Threat to the Open Web?"

06:08 "Edgar Walter's Web Innovations"

09:10 "RSL Collective: Unified Web Licensing"

12:37 "Join RSL Collective Initiative"

15:56 RSL Collective: Monetizing Content Access

19:47 "RSL Collective: AI Publishing Solution?"

20:34 Human-Led Training Enhances AI Quality

23:52 "Sustainable AI: A Hopeful Future"

Keywords:
Really Simple Licensing, RSL, open web, AI licensing, content licensing, online publishing, search engines, AI overviews, large language models, content rights, machine readable licenses, robots.txt, AI web crawlers, content monetization, publis

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