MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
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 ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
NextBigFuture

continual learning

Detailed Summary of Lex Fridman Podcast: AI State-of-the-Art 2026 with Nathan Lambert and Sebastian RaschkaThis episode (YouTube: https://www.youtube.com/watch?v ...
The Next Platform

Japan Gets An LLM Compliments Of Fujitsu And RIKEN

Very few organizations have enough iron to train a large language model in a reasonably short amount of time, and that is why most will be grabbing pre-trained models and then retraining the ...
Computer Weekly

LLM series - Pathway: Taking LLMs out of pilot into production

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Zuzanna Stamirowska, ...
Kevin Kelly

Three Modes of Cognition

Intelligence is not elemental. Neither is artificial intelligence. Both are complex compounds composed of more primitive cognitive elements, some of which we are only now discovering. We don’t yet ...