NextBigFuture

Progress to Continual Learning AI

2025 saw a tripling of continual learning LLM papers according to arXiv trends. This is driven by foundation model scale and multimodal extensions. However, no flagship AI released models (GPT-5, Grok ...

MIT's MeMo lets teams swap in a better LLM without retraining — and performance jumps 26%

MIT's MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining and see a 26% performance gain, researchers say.
VentureBeat

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

A new technique developed by researchers at Shanghai Jiao Tong University and other institutions enables large language model agents to learn new skills without the need for expensive fine-tuning. The ...
NextBigFuture

AI Legend Sutton Wrote the Bitter Lesson- Gives His Suggestions for True Continual Learning

Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the computational part of the ability to achieve goals. It is rooted in a stream of ...
Frontiers

Toward Lifelong Autonomy: Advancing Continual Robot Learning for Adaptable Intelligent Systems

Continual robot learning is an emerging interdisciplinary field that integrates advances from machine learning, robotics, and cognitive science to build ...
Nature

Agentic AI Systems

Recent advances in artificial intelligence are driving a transition from models that primarily respond to prompts toward agentic systems that act: they perceive, reason, plan, and adapt over time. As ...