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 ...
CDOTrendsOpinion

Your FSI AI Needs a Kill Switch. That Should Terrify You.

Welcome to the era of "Action Drift," where your agents are negotiating trades your CRO won’t understand for another six ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
IEEE

Recursive Identification Based on Local Likelihood Function with Binary-Valued Observations

Abstract: This paper studies the control-oriented recursive identification of finite impulse response systems with binary-valued observations. Inspired by the Maximum Likelihood method, a novel ...
IEEE

Non-Invasive Estimation for Core Temperature and Power Loss in Electrolytic Capacitors Using a Single-Sensor Inverse Algorithm

Abstract: This letter proposes a single-sensor, non-invasive method for simultaneous estimation of core temperature and power loss in electrolytic capacitors, eliminating the need for equivalent ...
GitHub

TinyRecursiveModels - Unlock Powerful Reasoning with Tiny Networks

Tiny Recursive Models (TRM) provides a unique approach to recursive reasoning. This method shows that smaller models can solve complex problems without requiring vast resources. With TRM, you can ...