Welcome to M5BMachine 5-Minute Briefing

An Amazon-backed fellowship will support 10 Stanford PhD students whose work explores everything from how we communicate to understanding disease and protecting our data.

We need to rethink student assessment, AI literacy, and technology’s usefulness, according to experts at the recent AI+Education Summit.

Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.

A Stanford HAI workshop brought together experts to develop new evaluation methods that assess AI's hidden capabilities, not just its test-taking performance.

World leaders focused on ROI over hype this year, discussing sovereign AI, open ecosystems, and workplace change.

These models generate plausible timelines from historical patterns; without calibration and auditing, their “probabilities” may not reflect reality.

The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.

Five teams will use the funding to advance their work in biology, generative AI and creativity, policing, and more.

With corporate AI labs turning inward, academia must carry forward the mantle of open science.