AI & Enterprise

Stanford, Meta develop AI inference technique to boost speed and cut costs

A research team from Stanford University, Together AI, the University of Illinois Urbana-Champaign and Meta introduced a new AI inference technique that processes intermediate reasoning in an internal latent space rather than generating text tokens. The approach combines latent and text modes and uses a HybridLink to keep reasoning continuous. In tests on Qwen3-based models, it reduced token generation and increased inference speed, while improving problem-solving performance. The work has not been peer-reviewed.

Finance

Tech Insight: $1 trillion poured into fintech, but why has financial literacy fallen?

With more than $1 trillion flowing into fintech over the past decade, financial literacy has slipped in the United States and remained low among young people in Britain, MAIA founder Michael Gilmore wrote in the Financial Times. He said most money has gone to payment systems, complex trading platforms and buy now, pay later services, not education. Gilmore pointed to MAIA winners backing AI help, anti-fraud work and tailored financial learning.