AI Training Data Shortage
7h agoen
Source
mlllm.ioAI Training Data Shortagemlllm.ioResearch from Epoch AI predicts the exhaustion of high-quality human data for training LLMs between 2026 and 2032. The data shortage is shifting business models: from free internet scraping to the creation of paid and specialized datasets (video, audio, expert knowledge).
You might also wanna read
Global AI computing capacity doubles every 7 months, Epoch research finds
Epoch AI's research shows that global AI computing capacity (measured in H100-equivalents) has been growing by 3.3x per year since 2022, equ
epoch.ai·24d ago
Talent Crunch in AI Infrastructure: Secure Agentic AI Interviewing
blog.talview.com·4mo ago
LinkedIn to Resume AI Training with European User Data Starting November 2025
LinkedIn is planning to resume training generative AI models using European users' data starting November 3, 2025, after previously pausing
hostvix.com·9mo ago
Data Scarcity as the Emerging Bottleneck in AI Scaling and Intelligence Development
The article discusses the asymmetry between compute and data growth in AI development, arguing that while compute capacity grows rapidly, da
qlabs.sh·4mo ago
AI Data Center Demand Causes Two-Year Delays for Enterprise Hard Drives
The AI boom is causing severe supply chain disruptions in the data storage industry, with enterprise-grade hard drives facing two-year deliv
tomshardware.com·7mo ago
Anthropic to Train AI Models on User Chat Data Unless Users Opt Out
Anthropic is implementing a new policy where it will train its AI models on user data including chat transcripts and coding sessions, and ex
The Verge·10mo ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.