Physical AI And World Models Raise The Bar On What We Call ‘Smart’ ... And LLMs Are Not Enough

Instead, physical AI needs to orchestrate a blend of on-device processing for speed and cloud computation for long-term ...

MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
IEEE

Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples

Abstract: We introduce Adversarial Sparse Teacher (AST), a robust defense method against distillation-based model stealing attacks. Our approach trains a teacher model using adversarial examples to ...
GitHub

via Foundation Model Self-Exploration

Automated Capability Discovery (ACD) is a novel framework that leverages one foundation model—acting as a scientist—to autonomously discover and evaluate the capabilities and failure modes of another ...
GitHub

CloudPedagogy AI Capability Framework (2026 Edition)

A values-based, developmental framework for ethical, strategic, and creative use of artificial intelligence across education, research, public services, and the wider public good. The CloudPedagogy AI ...