Grayscale Looks Beyond AI Tokens To The Data And Credit Behind Computing

Grayscale’s October 23 research note looks at a more specific crypto-and-AI proposition than a general bet on smarter software: who supplies training data, who finances hardware and who receives payment when computing capacity is used. In the note , research head Zach Pandl describes DATA’s work on contributed training data, USD.AI’s GPU-backed lending and Pearl’s attempt to combine AI computing with blockchain rewards. These are Grayscale’s selected examples and expectations, not independently proven outcomes for the entire sector. Each model has a different customer. A data network needs someone willing to license its datasets.