Ep 636: Uber paying drivers $1 to train AI models? A sign of what’s next

Uber is paying its drivers as little as $1 to train LLMs. 😯 Smart business move or eery sign of what's to come? On this Hot Take Tuesday episode, we uncover the trend of dirt cheap data labeling, why it's a good thing and a bad thing, and how this is actually a sign of what's next. Uber paying drivers $1 to train AI models? A sign of what’s next -- An Everyday AI chat with Jordan Wilson Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Join the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: info@youreverydayai.com Connect with Jordan on LinkedIn Topics Covered in This Episode: Uber Digital Task Program Overview Uber Paying Drivers $1 for AI Training AI Data Labeling and Microtask Economics Impact on Gig Worker Job Security Human Data Training for AI Model Quality AI Model Collapse and Internet Data Exhaustion Future of Nine-to-Five Work and AI Enterprise Strategies for First-Party Data Collection Universities and AI Company Partnerships Prediction Timestamps: 00:00 Uber Drivers Training AI Models 05:03 Uber Drivers Completing Digital Tasks 07:11 AI Workforce Shift 12:17 Changing Future of 9-to-5 14:13 AI's Mixed Impact on Jobs 18:39 AI Competition and Data Scraping 22:37 AI Content Crisis Explained 26:02 Model Collapse and AI Plateau 28:24 Reddit: AI's Human Data Source 33:39 AI, Data, and Future Blueprint Keywords: Uber digital task program, Uber paying drivers to train AI, AI model training, $1 micro tasks, Large Language Models, AI data labeling, crowdsourcing human data, gig workers, AI gig economy, job automation, job replacement by AI, AI impact on workforce, autonomous vehicles, computer vision, Waymo, driverless cars, AI-powered ride sharing, AI data collection, first party data, AI data scarcity, synthetic data, AI regurgitation, model collapse, reinforcement learning with human feedback, incremental AI model improvements, knowledge cutoff, AI-generated content, dead Internet theory, bot traffic, Imperva bad bot report, Reddit data deals, Quora, AI partnerships, Fortune 1,000 companies, enterprise AI adoption, fine-tuning teams, domain specific models Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)