Скачать или смотреть The AI Revolution Is Over—Data Shortages Are Killing LLM Innovation!

The future of large language models (LLMs) is at a crossroads, threatened not by a lack of algorithmic progress, but by the shrinking pool of high-quality data. As website owners and content creators clamp down on web scraping—through technical blocks, legal restrictions, and opt-out movements—the vast text reservoirs that once fueled AI innovation are rapidly drying up. Paywalls, login barriers, and even “data poisoning” tools are making it nearly impossible for models to access the diverse, up-to-date information they need to advance. In this new landscape, LLM innovation isn’t just slowing; it’s facing a fundamental bottleneck. Without a dramatic change in data accessibility, the golden era of AI-driven language breakthroughs may soon come to an abrupt halt.

Bio

With over 30 years of experience in enterprise technology, David Linthicum is a globally recognized thought leader, innovator, and influencer in cloud computing, AI, and cybersecurity. He has authored over 17 best-selling books, over 7,000 articles, and 50 courses on LinkedIn Learning. He is also a frequent keynote speaker, podcast host, and media contributor on topics related to digital transformation, cloud architecture, AI, and cloud security.

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