7 min read
Finance A deep dive into why JPMorgan’s 150–500 petabytes of proprietary financial data may be more strategically powerful than OpenAI’s sub‑petabyte GPT‑4 training corpus, and what this means for the future of AI.
A deep dive into why JPMorgan’s 150–500 petabytes of proprietary financial data may be more strategically powerful than OpenAI’s sub‑petabyte GPT‑4 training corpus, and what this means for the future of AI.
A balanced look at Alexandr Wang and Scale AI, the rise of a data‑labeling powerhouse, controversies over data quality and contractor treatment, and why some critics have accused the company of misleading customers and partners.