This Is How To Tell if Writing Was Made by AI | Odd Lots

When you consider the fact that many people don't know how and where to place a comma, it's safe to say that AI is already better than most people at writing. It's clean copy. It can be surprisingly persuasive. And sometimes, it's even informative. But there's frequently still something about it that just seems... off. Many people can tell quite quickly when they're reading AI-generated text. And beyond the style, the existence of AI generated text has all kinds of ramifications, from making it easier for students to cheat, to the rise of deceptive chatbots, to potentially degrading the experience on sites like Reddit. So how do you actually tell if a piece of writing was generated by AI? On this episode, we speak with Max Spero, the CEO of Pangram Labs, a company that built software to detect whether a piece of content was AI generated or not. We talk about the advanced techniques they use, the risk of false positives and false negatives, and what AI writing means in general for the future of the Internet. Chapters: 00:00:00 - Opening Statistics on AI Content 00:04:32 - The Rise of Human-Only Disclaimers 00:06:56 - Interview with Max Spero Begins 00:07:38 - Why AI Detection Matters 00:11:38 - Technical Methodology Behind AI Detection 00:16:25 - Model Development and Capacity 00:18:30 - Real-World Detection Cases 00:22:56 - Internet-Wide AI Content Statistics 00:24:03 - Economic Incentives for AI Content on Reddit 00:26:39 - Advanced Training Methodology 00:30:02 - Company Mission and Vision 00:31:52 - Adversarial Testing and Model Robustness 00:34:13 - Future Applications: Images and Video 00:35:55 - Future of the Internet 00:40:02 - Technical Deep Dive: Perplexity vs. Deep Learning 00:42:17 - Social Norms and Platform Incentives Watch Bloomberg Vodcasts: https://www.youtube.com/playlist?list=PLe4PRejZgr0MS0Tqk_zQl1LVVTdWuH2Di Watch more Odd Lots episodes: https://www.youtube.com/playlist?list=PLe4PRejZgr0OJbRzA6nWybYiThLJd_ouz Bloomberg's Joe Weisenthal and Tracy Alloway analyze the weird patterns, the complex issues and the newest market crazes. Join the conversation every Monday and Thursday for interviews with the most interesting minds in finance, economics and markets. Join the conversation: discord.gg/oddlots Subscribe to Bloomberg Podcasts: https://bit.ly/BloombergPodcasts Check out more Odd Lots: https://youtube.com/playlist?list=PLe4PRejZgr0MuA6M0zkZyy-99-qc87wKV Get the Odd Lots newsletter: https://www.bloomberg.com/account/newsletters/oddlots And for all things Odd Lots, visit https://www.bloomberg.com/oddlots #Investing #Markets #Finance #Bloomberg #Podcast #OddLots Visit us: https://www.bloomberg.com/podcasts For coverage on news, markets and more: http://www.bloomberg.com/video Visit our other YouTube channels: Bloomberg Television: https://www.youtube.com/@markets Bloomberg Originals: https://www.youtube.com/bloomberg

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