Elon Musk agrees that we've exhausted AI training data | TechCrunch
The fight between creators and AI companies is fierce. The current paradigm in AI is to build bigger and bigger models, and there is, at least currently, no getting around the fact that they require vast data sets hoovered from the internet to train on.
Algorithm-driven echo chambers ensure that we only ever hear from people we already agree with. It’s not that people don’t argue anymore—we argue constantly —but the nature of the debate has changed. The goal is no longer to explore or challenge ideas, but to perform intelligence and “win” whatever discourse is currently relevant. The effect is an ... See more
The death of the public intellectual
The search for high-quality content for training material has become a major topic in AI development, since information-hungry AI companies are running out of good, free sources.
Ethan Mollick • Co-Intelligence: Living and Working with AI
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James O'Donnelltechnologyreview.com
The problem may even get worse. Generative AI is producing vast amounts of questionable content that contaminates the datasets on which future AIs will be trained.
Joe Smith • The Optimized Marketer: Writing with AI: Future-proof Your Talent and Position Your Business for a World Transformed by AI (The Optimized Self)
