Terrence Timmons, Connor Brooke, and Manny Ramos tackle the intricate world of AI in this must-listen podcast episode. They dive deep into The New York Times' lawsuit against OpenAI, unraveling the thorny issue of AI models trained on copyrighted content and its far-reaching effects on news and AI collaborations. The trio also sheds light on recent policy shifts impacting AI in politics and warfare. Discover why diversifying AI sources is crucial in the wake of OpenAI's internal shifts. Join us for a comprehensive exploration of the challenges and prospects in the fast-changing AI arena.

This Week’s Stories:
OpenAI and journalism - https://openai.com/blog/openai-and-jo...
OpenAI Bans Use of AI Tools for Campaigning, Voter Suppression - https://www.wsj.com/tech/ai/openai-ba...
OpenAI policies got a quiet update, removing ban on military and warfare applications - https://mashable.com/article/open-ai-...
OpenAI Turmoil Pushes Customers to Diversify - https://www.wsj.com/tech/ai/openai-tu...
Threads will allow you to follow Mastodon users by year-end, according to Meta meeting details - https://techcrunch.com/2024/01/12/thr...
The Internet Is About to Get Weird Again - https://www.rollingstone.com/culture/...

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Chapters:
0:00 - Welcome back to the Publisher Lab
0:16 - Connor Brooke joins the Publisher= Lab
1:12 - OpenAI's response to lawsuit from The New York Times
12:28 - OpenAI's policies on political campaigning and warfare
20:15 - Diversification of AI sources by companies
31:25 - Decentralization of social media & its impact on publishers
41:53 - Episode wrap up

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Hosted by Terrence Timmons & Connor Brooke
Produced & Edited Manny Ramos