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Worrying times for AI ahead? Major tech companies are running out of data to train LLMs
FirstpostAI needs a lot of data to stay updated. One of the problems that AI studios are facing is the refusal to pay for new natural data In the rapidly evolving landscape of the AI economy, data emerges as the linchpin that propels advancements. The study estimates that AI companies could confront a shortage of high-quality textual training data as early as 2026, with low-quality text and image data potentially depleting between 2030 and 2060. In essence, companies or institutions possessing vast repositories of high-quality data could enter into agreements with AI companies to share this data, often in exchange for financial compensation. Many AI datasets currently derive from internet-scraped data created by online users, making data partnerships a plausible solution.
History of this topic
In charts: How AI companies' data hunt is sparking copyright wars
Live Mint
AI 'gold rush' for chatbot training data could run out of human-written text
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Big Tech in ‘underground’ race to license archives that will train Artificial Intelligence
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Researchers warn we could run out of data to train AI by 2026.
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How to get your data ready for the generative AI revolution
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Stack Overflow Will Charge AI Giants for Training Data
Wired
Let’s embrace AI now that the digital future has arrived
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