EP 181: New York Times vs. OpenAI: The huge AI implications no one is talking about

If you haven't heard, The New York Times is suing OpenAI and Microsoft for copyright infringement. OpenAI recently released a statement clapping back at The New York Times. So what does it all mean and what can we expect for the future implications of AI and copyright material? Let's dive in. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AI and copyrightUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTimestamps:03:00 Daily AI news07:50 Recap of lawsuit09:58 Anticipated event unfolds after months of speculation.11:55 NYT complaint poorly researched and comical. Meritless.16:57 OpenAI admits to training model on copyrighted work.19:01 AI powered mega cap companies leading economy.21:23 Journalist shares conflict over AI in journalism.27:40 The evidence shows GPT-4 copied New York Times.29:16 Copying content from AI models is unreliable.34:34 Issues with anonymous chat sharing, missing links.37:29 New York Times filing about GPT issues.41:52 GPT account for chat, lacking important details.42:28 Language models can be manipulated easily.47:52 AI's impact seen in top companies' success.50:00 AI slowdown could deflate GenAI hype.54:06 Error in replication, flawed filing, trial implications.57:03 Suspicion around sharing links during GPT output.Topics Covered in This Episode:1. Legal dispute between OpenAI and The New York Times2.  Legal Filing and Evidence Analysis3.  Financial and Economic Implications4.  Technology and Industry ImpactKeywords:New York Times, OpenAI, lawsuit, legal filing, Exhibit J, GPT4, AI sector, generative AI, economic disruption, AI technologies, US economy, copyright infringement, manipulation, ChatGPT, AI models, technology, patent infringement, NVIDIA, GPU chips, Google, podcast, livestream, newsletter, AI education, damages, receipts, proper sourcing, citing, law schools, replication, evidenceSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)