The Stack Overflow Podcast One of the world’s biggest web scrapers has some thoughts on data ownership
Nov 8, 2024
Or Lenchner, CEO of Bright Data, discusses the intricate world of data ownership and protection amidst a shifting regulatory landscape. He shares personal anecdotes highlighting the challenges of training data availability for AI. Lenchner delves into the balance between web scraping practices and the rights of content creators, emphasizing the need for transparency. Additionally, he explores the role of synthetic data in AI training while underscoring the importance of human oversight in innovation and the tech community's challenges and achievements.
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Data Abundance vs. Accessibility
- The internet has vast amounts of training data, making concerns about running out unfounded.
- Difficulty lies in mapping and accessing this data, leading some to prematurely explore synthetic data.
Data Quality over Quantity
- High-quality, human-validated data is crucial for effective AI training.
- AI-generated synthetic data without validation can lead to model collapse and poor performance.
Synthetic Data: Source Matters
- Curated, validated data from sources like Stack Overflow can be excellent for training, even if synthetically generated.
- Machine-generated, self-validated synthetic data leads to issues. Focus on quality and accuracy over scale.