MIT Technology Review highlights problem of tracking AI agents

AI agents — artificial intelligence programs that make their own judgments and carry out tasks — are committing hacks and evading detection. As their scope of activity expands into core sectors such as finance, government, and healthcare, there are concerns that the lack of real-time oversight systems could lead to serious damage.

MIT Technology Review spotlighted this issue in its October 29, 2026 edition of its newsletter "The Download." Madhulika Srikumar and Claire Lyle-Boivitz (Claire Laibowitsch) of Partnership on AI, a nonprofit that researches AI governance — the management rules for the safe use of artificial intelligence — emphasized that AI agents' actions must be monitored in real time. The logic: safety depends on monitoring, and monitoring depends on observability. In other words, it must be possible to know what an agent did and why — yet today, such tools are being deployed without tracking mechanisms in place.

The same edition's climate news also pointed to a dangerous blind spot in climate models: climate change itself is accelerating climate change. Rising greenhouse gas concentrations are pushing up global temperatures, creating dangerous feedback loops — effects that, according to the newsletter, are not fully reflected in current climate models and emissions reduction targets. Scientists have long warned that warming would drive further warming. Amid this, accumulating observations and research are revealing just how powerful this cascade effect could be, and how quickly the planet could heat up this century.

The same newsletter also covered progress toward commercializing solid-state batteries, a technology that uses solid ceramics or polymers instead of liquid electrolytes.